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\title{Unveiling the Impact of Solid Waste Management on Health and Poverty Alleviation in Dhaka City}
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             \author[1]{Nahid  Aktar}

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\date{\small \em Received: 1 January 1970 Accepted: 1 January 1970 Published: 1 January 1970}

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\begin{abstract}
        


Dhaka, the capital of Bangladesh, faces significant challenges in solid waste management. This study aims to unlock the transformative power of proper solid waste management (SWM) in improving the health and economic well-being of disadvantaged urban residents in the city. While previous literature has focused primarily on waste collection, disposal and recycling, this study explores waste management as a powerful catalyst for poverty alleviation, unlocking the untapped potential for transformative change. Through qualitative and quantitative methods, including surveys, expert interviews and a systematic literature review, the study identifies sources of pollution and factors affecting slum dwellers' health and human development indicators. It classifies conditions affecting the health-based vitality of slum dwellers. The paper highlights the potential of sustainable waste management practices to improve health outcomes, reduce disease incidence, and alleviate poverty. It emphasizes the need for policymakers to prioritize comprehensive waste management initiatives and promote community awareness and participation to address these issues.

\end{abstract}


\keywords{urbanisation, slum population, solid waste, health hazard, poverty alleviation, human development.}

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\section[{Introduction}]{Introduction}\par
angladesh has experienced numerous obstacles since its independence, with one of the most pressing issues still unresolved being solid waste management. Dhaka has a population of 22.4 million as of 2022 living in 360 km2 area, making it one of the most populous cities in the world (Dhaka, Bangladesh Metro Area Population 1950-2023, n.d.-b) 1 . Its urban population is expanding at a quicker rate of 3.4\% annually than the entire population, which is growing at a high rate of 1.4\%. It is estimated that 40 million people will live here by 2040  {\ref (Prodhan and Kaeser, 2020)}. As a result of the rise in population and consumer goods, B solid waste production is increasing rapidly every year and the Dhaka City Corporation (DCC) is struggling to keep pace with the growing waste management of the city.\par
Due to colossal population growth and lack of awareness, the volume of waste generation is increasing indiscriminately in rapidly urbanised Bangladesh \hyperref[foot_0]{2} . The waste generation in Dhaka city has witnessed a significant increase from 2013 to 2021. According to the Climate and Clean Air Coalition (2013), only half of the estimated 1.65 million metric tons of solid waste generated in Dhaka city was collected for disposal annually.\par
Looking ahead, it is projected that by 2021, Dhaka had to manage approximately 6,500 tonnes of waste per day \hyperref[b3]{(Islam, S. 2021}). Moreover, the city's hospitals and clinics generate 200 metric tons of waste which contain radioactive materials, hazardous chemicals and pathogenic compounds \hyperref[b4]{(Yasmin and Rahman, 2017)}. This indicates a substantial increase compared to the earlier estimated waste generation in 2013. Furthermore, the waste generation is expected to further escalate to around 8,500 tonnes per day by 2032, highlighting a continuous upward trend in waste generation and management challenges in the city. This massive wave of uncollected garbage poses a significant threat to public health, contributes to environmental degradation and exacerbates poverty.\par
Therefore, the impact of poor SWM extends beyond environmental crises, significantly affecting public health and exacerbating poverty levels in the city \hyperref[b5]{(WHO, 2012)}. Improper disposal of solid waste, including open dumping and burning, releases harmful toxins and pollutants into the air, soil, and water sources. These pollutants pose a significant risk to the health of residents, leading to respiratory diseases, skin infections, and other illnesses (US Environmental Protection  {\ref Agency, 2002} {\ref Agency, -2013))}.\par
Furthermore, the oxidation of waste disposal sites provides breeding grounds for disease-carrying vectors such as flies, mosquitoes and rats, which increase the incidence of communicable diseases in the community \hyperref[b8]{(Choudhury, S. 2010}). The ill effects of inadequate solid waste management are more detrimental to the slum areas of Dhaka. The ill effects of inadequate solid waste management are more detrimental to the slum areas of Dhaka. Low-income neighbourhoods, often lacking basic amenities and proper sanitation facilities, bear the brunt of the waste crisis  {\ref (Jerin, et al., 2022)}. Residents of these areas are disproportionately exposed to health risks associated with unregulated waste disposal, increasing the risk of disease and pushing them further into poverty.\par
Dhaka City Corporation DCC, North \hyperref[foot_1]{3} and South \hyperref[foot_2]{4} are making efforts to solve this ongoing crisis, though it seems to be getting worse every day. Until the residents of the city banded together to find a solution, this massive waste seemed beyond DCC's ability to manage on its own  {\ref (Prodhan and Kaeser, 2020)}. Hence, the situation remains unsolved despite earlier efforts, raising questions about the effectiveness and efficiency of waste management schemes. Solid waste management solutions have, however, been outlined in various scholarly articles or at the policy-making level.\par
Nevertheless, much of the current literature addressed collection, environment, disposal, and recycling. This study prioritizes waste management as one of the variables in poverty reduction by focusing on the way individuals of all socio-economic levels participate in the economy as a means of human development. Moreover, the implementation of proper waste disposals practices, such as recycling and resource recovery, can yield economic benefits by fostering a circular economy and mitigating strain on finite resources. This research addresses the pressing need for a comprehensive solution to the solid waste management challenges in Dhaka. It emphasizes the importance of an efficient waste management system in safeguarding public health and supporting poverty alleviation efforts \hyperref[foot_3]{5} . 
\section[{a) Research Filed}]{a) Research Filed}\par
The study area covers Dhaka City Cooperation (DCC), especially slum areas. This study presents the results of a cross-sectional survey conducted among 200 slum households in Dhaka, providing insights into the adverse consequences of poor waste management on the health and productivity of low-income groups and slums. The survey was conducted in three slum areas of Dhaka: Korail, Mohakhali and Kamrangirchar, selected on the basis of their size, population density and accessibility on their waste management practices, healteh and socio-economic status. 
\section[{b) Target Waste}]{b) Target Waste}\par
The study covers two types of solid waste under Dhaka City Corporation: namely, domestic waste and medical waste. Liquid and gaseous wastes are not included in the scope of this study. 
\section[{c) The Significance of the Study}]{c) The Significance of the Study}\par
This study offers fresh perspectives on the threats to human health and the effects of poor waste management practices on poverty reduction and health in Dhaka. By identifying the specific health risks associated with poor waste management and emphasizing waste management as a poverty alleviation variable, this research analyse evidence-based decision-making, supports the development of targeted interventions, and promotes sustainable human development. The study's potential lies in improving public health, creating employment opportunities, guiding policy formulation, and advancing knowledge in waste management, health, and poverty alleviation. Moreover, the analysis presented in this study contributes to the existing literature on urbanization and poverty, providing recommendations for policymakers to address the adverse effects of poor waste management on population health and well-being. 
\section[{d) The rationale for this study}]{d) The rationale for this study}\par
Solid waste management is a critical issue in Dhaka where waste collection and disposal are often insufficient and inappropriate (Dhaka City Corporation, The People's Republic of Bangladesh, Japan International Cooperation Agency, 2005). The existing evidence on the linkage between poor solid waste management and adverse health outcomes calls to action by all stakeholders in understanding, prioritizing, and addressing the issue of solid waste in our midst to ensure that our environment and health are preserved \hyperref[b11]{(Enayetullah, Sinha, \& Khan, 2005)}.\par
The need to build on previous research is evident, as there are gaps in current knowledge and inconclusive or controversial findings from previous studies. For instance, the study by  {\ref (Hasan \& Chowdhury, n.d.)}. shows that solid waste poses a serious health hazard and leads to the spread of infectious diseases, while  {\ref (Yasmin \& Rahman, 2017a)} highlights that poor waste collection leads to environmental and marine pollution and can block water drains, resulting in flooding and other standing waters that favour cholera and vector-borne diseases such as malaria and dengue.\par
Therefore, this study aims to unveil the impact of solid waste management on health and poverty alleviation in Dhaka City by presenting a framework that aids understanding of (poor) solid waste management and its impact on health with a view to stimulating research, guiding the development of policies and implementation of appropriate interventions. The study identifies and describes the main pathways through Unveiling the Impact of Solid Waste Management on Health and Poverty Alleviation in Dhaka City which poor solid waste management affects health and poverty alleviation, updates concepts in light of new findings and/or new technical advancements, and answers unanswered questions. 
\section[{II.}]{II.} 
\section[{Literature Review}]{Literature Review}\par
Bangladesh's high population density and rapid urbanization contribute to increased waste generation, negatively affecting public health and poverty. The consequences extend beyond health and environment, affecting the poverty level and quality of life. According to \hyperref[b13]{Azom et al. (2012)}, uncontrolled waste management in urban areas leads to the accumulation of solid waste, which not only poses environmental challenges but also has detrimental effects on public health. Their study highlighted the negative impact of improper waste disposal on air quality, water contamination, and the spread of infectious diseases. Similarly,  {\ref Triassi et al. (2016)} emphasized the link between inadequate waste management and respiratory diseases, citing evidence of increased respiratory symptoms and decreased lung function among individuals living in close proximity to open dumping sites.\par
On the other hand, Yasmin and Rahman (2017) conducted a study on the awareness and practice of household solid waste management among community people and found that poor household solid waste management poses serious health risks and spreads communicable diseases. Their study emphasized the health risks of waste contamination. Poor waste collection also leads to environmental and marine pollution and can block water drains, resulting in flooding and other standing waters that favour cholera and vector-borne diseases such as malaria and dengue.\par
Silpa Kaza (2018), lead author of the What a Waste 2.0\hyperref[foot_4]{6} and urban development expert at the World Bank argues that "Environmentally sound waste management touches many important aspects of development." Transitioning to sustainable waste management will take time and money. The article further claims that for many municipal governments, waste management is the single largest budget line item. It makes up an average of 20\% of municipal budgets in low-income countries. "However, when it comes to designing liveable, healthy, and inclusive cities and communities, solid waste management is often an overlooked concern.\par
Therefore, in the interest of both its citizens and the environment \hyperref[foot_5]{7} , governments must take swift action to address waste management (What a Waste: An Updated Look into the Future of Solid Waste Management, 2018)." Furthermore, a study by \hyperref[b16]{Magaji \& Dakyes, (2011)} highlighted the socioeconomic implications of poor waste scavenging practices as a means of poverty alleviation in Gwagwalada, Abuja. Their findings revealed that substandard waste management disproportionately affects marginalized populations, leading to increased health disparities and hindering poverty alleviation efforts.\par
Similarly, Ashikuzzaman and Howlader, (2020) conducted a comprehensive analysis of the economic costs associated with inefficient waste management, underlining the potential economic benefits of implementing sustainable waste management practices.\par
Considering the circumstances of urban waste management in Bangladesh, \hyperref[b19]{Bhuiyan (2010)} stressed that a well-structured public-private partnership may enable successful solid waste management and ensure good urban governance in Bangladesh. In their 2016 study on municipal waste management in Bangladesh, in Dhaka, Saifullah and Islam (2016) asserted that MSWM is a complicated issue with drastic consequences for human development, public health, and poverty reduction. The United Nations Human Development Index (HDI) report, covering 1990 to 2021, also emphasizes the importance of health, education and living conditions as key indicators for assessing a country's overall level of human development.\par
The existing literature reveals contrasting perspectives among academia, governments, and NGOs regarding the adverse effects of waste management. However, the well-being of slum dwellers in terms of health and poverty alleviation remains unattended, hindering their integration into the economy and progress in human development. Therefore, this study underscores the significance of comprehending the intricate interplay of social, economic, and environmental factors that contributes to inadequate waste management practices and their detrimental consequences. By investigating the multifaceted dimensions of waste management and its impact on the health, environment, and socio-economic aspects of the vulnerable population in the city, this research aims to bridge these knowledge gaps and address these pressing issues.\par
Overall, the study contributes to a growing body of research on waste management in Dhaka and provides a basis for further research and policy development in this area.  
\section[{a) Methodology}]{a) Methodology}\par
This study employed a mixed-method research design \hyperref[foot_7]{8} , combining qualitative and quantitative approaches, to address the research question. It involved a cross-sectional survey conducted among 200 slum households in three areas of Dhaka. To address this, qualitative aspects were incorporated through 25 interviews including 5 expert interviews. The survey was conducted based on location, population density and accessibility in three slum areas of Dhaka such as Korail, Mohakhali and Kamrangirchar. The data collection methods included semi-structured interviews \hyperref[foot_8]{9} , a questionnaire survey, primary and secondary data analysis\hyperref[foot_9]{10} from various sources. By integrating qualitative and quantitative data, the study designed to comprehensively understand the relationship between solid waste management, health outcomes, and poverty alleviation in Dhaka City, capturing both nuanced experiences and broader patterns associated with waste management practices and their effects on individuals and society. 
\section[{b) Limitations of the Study}]{b) Limitations of the Study}\par
The study faced several challenges in collecting data from the target demographic profiles. The statistical survey included participants from both affluent and low-income areas. Since affluent areas enjoy adequate services from DCC waste pickers, they do not fully represent the vulnerable population resulting in a skewed representation that may not accurately reflect the larger vulnerable population. These limitations should be considered when interpreting the results, as they may give a misleading impression of the overall effectiveness of waste collection services.\par
Furthermore, the study was limited by the remote geographical location of the area and selffinancing. Access to specific slum areas and government officials, NGO \hyperref[foot_10]{11} representatives, hospital administrators and interviewers often posed additional barriers to data collection. Survey results indicate a gender distribution with a higher representation of male respondents, highlighting the need to acknowledge the survey's limitations in capturing the experiences and perspectives of those outside the male/female binary. It is momentous to note that the survey did not have the option of identifying outside of the traditional male/ female category.\par
Future surveys should include inclusive gender options so that respondents can accurately self-identify their gender. Despite efforts to address these limitations, an attempt has been made to provide an accurate result by analysing both primary and secondary data. 
\section[{c) Ethical Consideration}]{c) Ethical Consideration}\par
Ethical considerations for the study on the impact of solid waste management on health and poverty alleviation in Dhaka City encompass several key aspects. Firstly, obtaining ethical approval from the relevant committee was sought to ensure the study adhered to established ethical guidelines. Secondly, the privacy and confidentiality of the participants \hyperref[foot_11]{12}were strictly upheld, with measures implemented to safeguard their personal information. Informed consent, wherein participants were fully informed about the study's purpose and potential benefits, was obtained to ensure voluntary participation \hyperref[b28]{(Kothari, C. R. 2004}).\par
The study also took into account the cultural beliefs and practices of the participants, ensuring that the research did not infringe upon their cultural values or customs (Connelly, L. M. 2014). Moreover, precautions were taken to prevent any harm to the participants or the community throughout the study duration. It was also ensured that the waste management practices under investigation did not pose any risk to public health or the environment (World Medical Association, 2013).\par
Furthermore, the study emphasized the principles of avoiding exploitation and coercion of participants, ensuring their autonomy and understanding of their rights \hyperref[b26]{(Giordano, et al., 2007)}. The research was designed to benefit society as a whole, while justifying any potential risks to participants by expected benefits, aligning with the principles outlined in the Nuremberg Code \hyperref[foot_12]{13} . Overall, this study demonstrates a commitment to ethical principles, prioritizing the protection of human subjects and ensuring that the potential benefits of the study outweigh any associated risks. 
\section[{III. Research Finding: Demographic Profile and Data Analysis}]{III. Research Finding: Demographic Profile and Data Analysis}\par
In this study, primary data collection was directed through a set of questionnaires \hyperref[b27]{(Williamson, C., 2013)}. Following a description of the responses given by the participants, the findings were highlighted in line with the data analysis and presentation. Correspondingly, it involved a retrospective study 14 , where a questionnaire was carefully analysed to ensure that the data collected was presented clearly with the help of tables, percentages and graphs. Largely, the results of these findings provide a comprehensive understanding of the use of questionnaires for data collection and subsequent data analysis and presentation of findings. 14 Retrospective studies are research studies that look back in time, typically at medical records or other historical data, to identify risk factors for a disease or to determine outcomes of medical intervention. Source: respondents identified as male and 42\% as female. The statistical analysis revealed a mean value of 1.42, indicating that the respondents were more likely to identify as male. At the beginning of the interview, women participated less than men in the survey while being fully aware of health risks and waste issues. It has been observed that Bangladeshi women today have access to education, but their participation and expression in society are low. 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The survey question aimed to determine the gender distribution of respondents, with 58\% of the total  
\section[{Analysis and Findings}]{Analysis and Findings}\par
The question is aimed at gathering information about the age distribution of the respondents. The majority of respondents fell into the age categories of 36-50 (34\%) and  {\ref 25-35 (27\%)}. The other age categories were also represented, with 18-25 accounting for 17\%, followed by Above 50 (13\%) and Under 18 (9\%). The statistical analysis revealed a mean value of 3.24, indicating that, on average, the respondents' age category falls between 25-35 and 36-50. The data highlights the importance of considering age diversity when designing waste management interventions and strategies, as it can lead to more effective strategies that resonate with individuals across various stages of life. By tailoring initiatives to different age groups and addressing their unique characteristics, it becomes possible to promote sustainable waste management practices among individuals of all ages.  
\section[{Analysis and Findings}]{Analysis and Findings}\par
The purpose of this question is to collect information about the occupation of the respondents. The majority of respondents reported being in the following professions: Unemployed (21\%), Business (16\%), Professional work (17\%), and Housewife/casual labourer (14\%). Other significant professions mentioned include Day labourer (12\%), Student (9\%), and Government and private service (8\%). A smaller percentage of respondents indicated other professions, such as Sales assistant, Maid, and Musician (Sitarist). The statistical analysis revealed a mean value of 4.28, indicating that, on average, the respondents' professions fall between Professional work and Business.\par
Understanding the occupational profile of the surveyed population is crucial for tailoring waste management interventions and strategies to effectively engage different groups. By considering the respondents' professions, policymakers, organizations, and waste management initiatives can develop targeted approaches that address the specific needs, challenges, and opportunities associated with different occupations.  
\section[{Global Journal of Human}]{Global Journal of Human} 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The objective of this question was to collect information about the education level of the respondents. According to the responses, the majority of respondents had completed either Primary education level (24\%) or University Degree (21\%), Secondary education level (19\%) or Higher education (15\%), and 20\% had never enrolled in school. The statistical analysis revealed a mean value of 2.94, indicating that, on average, the respondents' education level falls between Secondary education level and Higher education. Understanding the educational profile of the surveyed population is essential in designing effective waste management interventions and communication strategies. It highlights the importance of tailoring educational programs and awareness campaigns to cater to different educational backgrounds and literacy levels.\par
Targeting educational initiatives towards individuals with lower levels of education can help bridge the knowledge gap and promote sustainable waste management practices among a wider segment of the community. Overall, the data highlights the need for an inclusive and holistic approach to waste management education, ensuring that educational initiatives are accessible and beneficial to individuals with varying levels of education.  
\section[{Analysis and Findings}]{Analysis and Findings}\par
The question aimed to determine the average monthly income range of the respondents. The majority of respondents fell into the following income ranges: Tk. 15,000 -Tk. 35,000 (19\%), More than Tk. 35,000 (17\%), and Less than Tk. 3000 (18\%). Income ranges of Tk. 3000 -Tk. 5000 (10\%) and Tk. 5000 -Tk.15,000 (15\%) were also reported by a portion of the respondents. The statistical analysis revealed a mean value of 3.70, indicating that, on average, the respondents' income falls between the Tk. 15,000 -Tk. 35,000 range.\par
Understanding the income distribution among the surveyed population is crucial in assessing the financial capacity to address waste management issues effectively.\par
Local authorities and relevant stakeholders can utilize this information to design inclusive and equitable waste management strategies that consider the varying income levels within the community. Policymakers and organizations can develop tailored approaches to waste management that are financially viable, sustainable, and supportive of the community's economic well-being. 
\section[{\# Answer}]{\# Answer}\par
Response \%  
\section[{Analysis and Findings}]{Analysis and Findings}\par
This question was posed to gather information about the type of dwelling occupied by the respondents. The largest group of respondents (32\%) reported living in slum settlements, while other common housing types (27\%) and own houses/apartments (17\%) were also reported. Tenements and semi-structured houses were reported by 12\% of the respondents each. The statistical analysis revealed a mean value of 2.69, indicating that the respondents' housing falls between slum settlements and rented houses/apartments. Understanding the types of housing in the surveyed area can provide valuable insights into the living conditions and socioeconomic factors that may impact waste management practices. Local authorities and community organizations can develop comprehensive waste management strategies that address the specific needs and circumstances of different housing types, contributing to improving waste management practices, promoting hygiene, and enhancing the overall quality of life in the surveyed area. The question is intended to gather information about how long respondents have lived in their current property. According to the responses, the largest group of respondents (38\%) reported living in their current property for 1 to 5 years, with a significant percentage (24\%) having a residency of more than 5 years. The statistical analysis revealed a mean value of 2. \hyperref[b41]{43} the respondents is between 1 to 5 years. Understanding the length of time individuals have been living in their properties can provide insights into their familiarity with waste management practices and their potential engagement in community initiatives. By tailoring waste management efforts based on the duration of residency, local authorities and community organizations can foster a sense of ownership, engagement, and responsibility among residents, leading to more effective and sustainable waste management practices.\par
Question 8: How many family members are there within your household? 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The primary objective of this question is to ascertain how many people make up each family. The data collected provides insights into the household size distribution among the surveyed population. The largest group of respondents (35\%) reported having 4-5 Question 10: Is there any waste disposal service present in your area? 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The aim of this question is to identify the primary location where the respondents keep their household waste. The data collected provides insights into the common practices of waste disposal among the surveyed population. The majority of respondents particularly in affluent neighbourhoods (54\%) reported binning their household waste indoors, while a smaller percentage (5\%) reported using a disposal bin in front of the house. Due to a lack of resources, 15\% of respondents admitted to littering on roadsides, especially in slum areas, while 18\% mentioned littering anywhere. Only 8\% stated that they keep their waste in a roadside bin.\par
The statistical analysis reveals a mean value of 2.22, indicating that keeping household waste in bins inside the house is the most prevalent practice among the respondents. However, a portion of respondents admitted to littering waste beside the road or disposing of waste anywhere, which can contribute to environmental pollution and health hazards. Overall, respondents from affluent areas adopt responsible waste disposal practices by using indoor bins. But this awareness and infrastructural opportunities are not created among slum dwellers about the dangers of littering. Nevertheless, addressing littering and inappropriate waste disposal behaviours is essential to mitigate the negative impacts associated with these practices.  
\section[{Global Journal of Human Social Science}]{Global Journal of Human Social Science} 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The purpose of this question is to ascertain whether the respondents' area provides waste disposal services. 68\% of respondents confirmed the presence of waste disposal services in their area, while 33\% indicated that there are no services available. While the study was conducted in both high and low-income areas, it was found that there were significant differences in waste management practices among the places. The findings indicate that a majority of respondents have access to waste disposal services, absence of waste disposal services, which highlights the need for attention and potential improvements in waste management infrastructure. To understand differences in waste management, respondents were selected from both high and low-income areas, showing significant differences in waste management practices between locations. Slums, where population density and waste management requirements are high, receive negligible services from DCCs indicating high health risks and, in turn, affecting incomes leading to poverty. However, efforts may be required to address the needs \# Answer Response \%  
\section[{Analysis and Findings}]{Analysis and Findings}\par
The purpose of the poll is to find out how frequently respondents' homes are visited by DCC's garbage collectors. The data collected provides insights into the regularity of waste collection services provided by waste pickers. 52\% of respondents reported that waste pickers collect waste from their households on a daily basis, 26\% visited 2-3 times a week, and 4\% indicated once a week, 9\% mentioned 5-6 days a week, and 9\% stated that waste pickers do not collect waste from their households. The statistical analysis showed a generally collect waste from households quite frequently. A small portion of respondents mentioned infrequent waste collection or the absence of waste pickers collecting waste from their households. However, respondents from high-income groups who receive adequate services from DCC waste collection responded positively to these survey questions, in contrast to respondents from low-income areas, particularly slum areas, where the population is substantial but absent.\par
-  
\section[{Analysis and Findings}]{Analysis and Findings}\par
The question inquired about the sources from which waste pickers collect household waste. Based on the responses, 50\% of respondents reported that waste pickers collect waste directly from their homes. Another 17\% mentioned that waste pickers collect waste from the disposal bin in front of their houses. Additionally, 33\% of respondents provided other specifications about the sources from which waste pickers collect waste. Results showed that 50\% of respondents reported that waste pickers collect waste directly from their homes, 17\% from the disposal bin in front of their houses, and 33\% provided other specifications about the sources from which waste pickers collect waste. to ensure efficient waste collection. Additionally, proper waste segregation and disposal practices must be implemented to facilitate waste pickers' work. Overall, the survey data suggests that waste pickers retrieve waste from various sources, including homes and disposal bins.  
\section[{Statistic Value}]{Statistic Value}\par
Min Question 13: In order to maintain hygiene in your household, do you believe it is preferable to dispose of waste in a designated bin outside your house rather than inside, allowing waste pickers to collect directly?\par
The question explores respondents' views on waste disposal practices to maintain household hygiene. The analysis of responses reveals that the majority of respondents (83\%) agree or strongly agree that it is preferable to dispose of waste in a designated bin outside their house, allowing waste pickers to collect directly. However, a small percentage of respondents (5\%) disagree or strongly disagree with this method. Additionally, 13\% of respondents neither agree nor disagree, indicating neutrality or uncertainty about the preferred waste disposal approach. The findings suggest that the majority of respondents prioritize maintaining household hygiene by endorsing the use of designated bins outside their homes, facilitating waste pickers' direct collection.\par
This preference aligns with the idea of efficient waste management and minimizing potential health risks associated with keeping waste inside the house. Overall, the survey data indicates a positive inclination towards utilizing designated bins outside the house for waste disposal, enabling waste pickers' direct collection. 
\section[{Question 14: How often in a week do DCC waste collectors collect disposed waste from the roadside open bin?}]{Question 14: How often in a week do DCC waste collectors collect disposed waste from the roadside open bin?}\par
A Analysis and Findings 
\section[{\# Answer}]{\# Answer}\par
Response \% Question 15: Who takes the initiative to clean your neighbourhood? 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The question inquired about the frequency of waste collection by Dhaka City Corporation (DCC) waste collectors from roadside open bins. The most common frequency reported was once a week, with 43\% of respondents indicating this. Daily collection was mentioned by 22\%, while 2-3 times a week was reported by 16\%. A smaller proportion (19\%) provided other responses, which varied and included "no idea," "sometimes," "not specified," and "never." The statistical analysis revealed that the mean value was 2.59, with a minimum value of 1 and a maximum value of 4. Overall, the survey data suggests that waste collection from roadside open bins by DCC is primarily reported as once a week, followed by daily and 2-3 times a week.\par
However, the presence of other responses indicating uncertainty or lack of knowledge emphasizes the need for improved communication and awareness about waste collection schedules. These findings highlight the importance of regular and efficient waste collection services to maintain cleanliness and hygiene in the community, and call for transparent and accessible information about waste collection schedules to ensure proper waste management and minimize potential health and environmental risks associated with waste accumulation.  
\section[{Statistic Value}]{Statistic Value}
\begin{quote}
Min\end{quote}
 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The survey found various waste management methods in Dhaka City, 28\% of respondents reported that community workers take the initiative to clean their neighbourhoods, while 16\% reported personal involvement in waste management. 24\% of respondents reported that DCC workers clean their neighbourhood, while 7\% reported using other methods. Interestingly, 24\% of respondents reported that none of these methods is used in their neighbourhood, indicating a lack of waste management services in those areas. This highlights the need for greater investment in waste management infrastructure and services, particularly in areas where these services are lacking. Additionally, the results suggest that community-based waste management initiatives may be effective in improving waste management in some areas.\par
- Year 
\section[{Analysis and Findings}]{Analysis and Findings}\par
This question examined the perception of respondents regarding the impact of individual and community involvement in waste clean-up on health and the local environment. The analysis of responses revealed that a significant portion of respondents (44\%) agreed, (30\%) strongly agreed that individual and statistical analysis showed that the mean value was 3.94, with a minimum value of 1 and a maximum value of 5.\par
Overall, the survey data suggests that a majority of respondents believe in the potential positive outcomes of individual and community involvement in waste clean-up on health and the local environment. These results highlight the importance of promoting and supporting initiatives that encourage community engagement in waste clean-up efforts. 
\section[{Question 17: Have you or any of your family members had any recent illness in the last 6 months?}]{Question 17: Have you or any of your family members had any recent illness in the last 6 months?} 
\section[{\# Answer}]{\# Answer}\par
Response \%  
\section[{Analysis and Findings}]{Analysis and Findings}\par
In the past six months, respondents' or their families' recent illnesses were inquired about in the survey. The most often stated ailments were skin conditions (29\%), chest complications (27\%), stomach parasites (61\%), and diarrheal infections (78\%). Poliomyelitis communicable diseases (15\% of respondents) were also mentioned. A small number of respondents (10\%) specified other illnesses not listed in the provided options, such as non-allergic rhinitis (NAD) and asthma. These findings suggest a notable prevalence of illnesses associated with waste within the respondents' families.\par
The presence of diarrheal diseases and abdominal parasites aligns with the potential consequences of poor waste management on water and food contamination, skin diseases and chest complications may also be linked to unhygienic living conditions influenced by waste, and asthma and nonallergic rhinitis (NAD) indicate the possibility of respiratory conditions influenced by waste-related factors. The survey data underscores the importance of addressing waste management and improving sanitation practices to reduce the risk of communicable diseases. The question explored the age group within respondents' families that is most affected by communicable diseases related to waste. The age group of 0-12 years appears to be the most affected, with 39\% of respondents indicating that this age group experiences a higher incidence of communicable diseases related to waste. A smaller proportion of respondents reported the age groups of 20-35 years (5\%), 35-50 years (2\%), and over 50 years (4\%) as being most affected. Additionally, 31\% of respondents stated that communicable diseases related to waste affect all age groups within their family. These findings suggest that children (0-12 years) are perceived to be the most vulnerable to communicable diseases associated with waste, and the importance of safeguarding their health through effective waste management practices and preventive measures. Additional research and analysis is needed to establish a definitive correlation, but the data underscores the importance of targeted interventions and education initiatives to protect the health of children and other vulnerable age groups from the impact of waste-related communicable diseases.  
\section[{Global Journal of Human}]{Global Journal of Human} 
\section[{Global Journal of Human Social Science}]{Global Journal of Human Social Science} 
\section[{Analysis and Findings}]{Analysis and Findings}\par
This question seeks to comprehend the perceived responsibility of open waste for the incidence of infectious diseases among household members of the respondents. An overwhelming majority (94\%) answered affirmatively, stating that open waste is responsible for the infectious diseases experienced by their family members. A small proportion (6\%) responded negatively, suggesting that they do not  the specified period, while 30\% reported visiting 2 to 3 times, while 15\% visited more than 3 times. A significant portion (20\%) indicated they had not visited a health centre for infectious diseases within the past 6 months. Further analysis could provide additional context, such as the reasons for seeking healthcare or barriers \# Answer Response \% Question 21: If yes, did your doctor confirm that the disease was caused by waste?\par
35\% of respondents visited a health centre once during preventing individuals from visiting health centres. 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The question studies the frequency of visits to a health centre for infectious diseases in the past 6 months among respondents and their family members. The data collected provides valuable insights into the utilization of healthcare services for infectious diseases. Question 22: How many days did you or your family members miss work or school due to a communicable disease in the past 6 months? Please provide the average number of days missed. 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The question asks whether the respondents' doctors have confirmed that the disease they experienced was caused by waste. The data obtained provides insights into the confirmation of waste-related diseases by medical professionals. Of the respondents, 63\% answered affirmatively, stating that their doctors confirmed the link between their disease and waste. In contrast, 37\% responded negatively, indicating that their doctors did not establish a direct connection between the disease and waste.\par
These findings suggest that a significant proportion of respondents received confirmation from medical professionals regarding the causal relationship between their illness and waste. However, it is essential to note that further investigation may be necessary to determine the specific types of diseases and waste sources involved, as well as the limitations of diagnostic processes. Overall, the survey highlights the importance of medical confirmation in establishing the connection between diseases and waste, which can guide public health interventions, waste management strategies, and healthcare approaches to mitigate the impact of wasterelated illnesses.  
\section[{Global Journal of}]{Global Journal of} 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The question looks into how many days in the past 6 months the person or their family members missed work or school because of an infectious disease. The data collected provides valuable insights into the frequency of absences. The responses reveal that the majority of respondents (30\%) reported missing work or school once during the specified period. A similar proportion of respondents (32\%) reported missing 2 to 3 times, while 29\% reported missing more than 3 times. A smaller portion (10\%) provided other responses, which were not specified.\par
Overall, the survey highlights a significant number of absences due to communicable diseases in the past 6 months, with a range from occasional absences to more frequent occurrences. These findings indicate the potential impact of communicable diseases on work and educational attendance. It is worth noting that further analysis could provide additional context and insights into specific factors contributing to the frequency of absences. Nevertheless, the data underscores the importance of implementing measures to prevent and manage communicable diseases, such as promoting vaccination, hygiene practices, and workplace/school policies that support the health and well-being of individuals.  
\section[{Analysis and Findings}]{Analysis and Findings}\par
The analysis explores the effects of wasterelated health issues on a person's financial stability, productivity at work, and overall well-being. Based on the survey, 95\% of respondents believed that proper waste management can prevent communicable diseases, according to an expert from the environment and health department. The statistical analysis of the responses suggests that waste-related health issues have a minimal impact, with a mean value of 1.05 and a minimum value of 1 and a maximum value of 2. The small variance and low standard deviation further support the notion that the impact is relatively consistent across the respondents. Further research could provide additional insights into specific factors that may affect the relationship between waste-related health issues and these aspects of life.  Question 25: How does improved health status impact a person's earnings, job opportunities, and quality of life in terms of education, treatment, and nutrition? 
\section[{Analysis and Findings}]{Analysis and Findings}\par
The question seeks to recognise the effects of waste-related health problems on an individual's financial stability, workplace performance, productivity and general well-being. The statistical analysis of the responses suggests that waste-related health issues have a minimal impact, with a mean value of 1.05 and a minimum value of 1 and a maximum value of 2. The majority of respondents (54\%) strongly agree that health issues can have a negative impact on their income, efficiency, productivity, and overall prosperity. A significant portion of respondents (33\%) agree that health issues can have an adverse effect on their financial stability, work efficiency, productivity, and overall well-being. Neither Agree nor Disagree: A small portion of respondents (11\%) neither agree nor disagree with the statement.\par
Overall, the data highlights the importance of good health and the acknowledgement of its potential influence on various aspects of life. These findings underscore the significance of addressing health concerns and implementing measures to mitigate their adverse effects on individuals' well-being and livelihoods.  
\section[{Global Journal of Human}]{Global Journal of Human} 
\section[{Analysis and Findings}]{Analysis and Findings}\par
This question explores the relationship between improved health status and its impact on various aspects of a person's life, including earnings, work opportunities, and quality of life. A majority of respondents (61\%) strongly agree that improved health status positively affects earnings, job opportunities, and quality of life, suggesting that there is a significant correlation between good health and these aspects of life. Additionally, 67\% of respondents strongly agree that improved health status can have a positive impact on the quality of life in terms of education, treatment, and nutrition. However, a portion of respondents (29\%) simply agree without strongly agreeing, suggesting that while they acknowledge the positive impact of improved health on earnings, job opportunities, and quality of life, they may not perceive it as an overwhelmingly strong relationship.\par
The findings from this survey align with existing research that supports the idea that improved health status has wide-ranging benefits and can significantly influence a person's economic and overall well-being. The study reveals that in slum areas, poor waste management is prevalent among 90\% of respondents, resulting in health issues, decreased immunity, chronic diseases, and a subsequent decline in income. The findings emphasize the urgent need to improve waste management and healthcare in slum areas to enhance economic productivity and overall quality of life. Investments in infrastructure and targeted programs are necessary to achieve these goals. 
\section[{V.}]{V.}\par
A Review on the New Development: Insights from Studies and Reviews\par
The new developments in solid waste management (SWM) in Bangladesh can be organized as follows: 
\section[{Current Situation in Dhaka}]{Current Situation in Dhaka}\par
In recent years, solid waste infrastructure management in Dhaka, the capital of Bangladesh, has involved private and public partnerships (Zahur, M.  
\section[{2007}]{2007}\par
). Despite these efforts, the city has not seen significant changes or a clean look. Additionally, the indiscriminate littering of city dwellers remains unabated. 
\section[{Collaboration with Japan International Cooperation Agency (JICA)}]{Collaboration with Japan International Cooperation Agency (JICA)}\par
In 2005, the Japan International Cooperation Agency (JICA) initiated a master plan to enhance Dhaka city's SWM capacity and management skills. The plan aimed to address the lack of regulatory administration and laws for waste management  {\ref (Dhaka City Corporation \& JICA, 2005)}. 
\section[{Household Waste Management and Collection Systems}]{Household Waste Management and Collection Systems}\par
Ahsan \& Zaman (2014) suggest that there have been changes in the household waste management and collection systems in both South and North Dhaka City Corporation, although there is no visible improvement in the appearance of streets and neighbourhoods. 
\section[{Medical Waste Management}]{Medical Waste Management}\par
Dihan et al. (  {\ref 2023}) report on Bangladesh's current medical waste management situation, predicting the generation of 50,000 tons of medical waste using an empirical model. 
\section[{Technological Advances and Management Principles}]{Technological Advances and Management Principles}\par
Singh et al. (  {\ref 2013}) highlight the importance of discussing recent technological advances, management principles, pitfalls, and challenges associated with SWM in urban areas. 
\section[{Proposed Waste Disposal System}]{Proposed Waste Disposal System}\par
Vashi \& Desai (2018) propose a waste disposal system that incorporates integrated informal recycling, small-scale bio-methanation, Mechanical Biological Treatment (MBT), and Refuse-Derived Fuel/Waste-to-Energy (RDF/WTE) technologies. 
\section[{Adoption of the 3R Strategy}]{Adoption of the 3R Strategy}\par
In 2010, the Department of Environment (DoE) in Bangladesh adopted the 3R strategy (reduce, reuse, recycle) to promote sustainable waste management practices. The 3Rs play a crucial role in reducing greenhouse gas emissions and transforming waste into valuable resources. 
\section[{Construction of Waste Management Plants}]{Construction of Waste Management Plants}\par
The DoE launched a program to construct two waste management plants-one in Matuail (Dhaka South City Corporation) and another in Amin Bazar (Dhaka North City Corporation). These plants aim to produce compost fertilizer from solid waste collected in different parts of Dhaka, with a daily production capacity of 20 tonnes per plant \hyperref[b36]{(Yousuf \& Reza, 2013)}. 
\section[{Establishment of Secondary Transfer Stations (STS)}]{Establishment of Secondary Transfer Stations (STS)}\par
The construction of 52 STSs in Dhaka North City Corporation has helped in removing large quantities of waste containers from roads, thereby improving traffic conditions. However, progress in the construction of STSs in Dhaka South City Corporation has been slow, with only 12 of the planned 45 completed (Saqib, M. 2018). 
\section[{Coordination of Primary Waste Collection}]{Coordination of Primary Waste Collection}\par
The Primary Waste Collection Service Provider (PWCSP), an NGO, coordinates the collection of waste from households to the STS. In 2016-17, 340 private operators were registered with PWCSP, but there are also unregistered operators involved in waste collection \hyperref[b1]{(Prodhan, \& Kaeserb, 2019)}. 
\section[{Review of Progress and Future Outlook}]{Review of Progress and Future Outlook}\par
An overview of progress towards the implementation of solid waste management policies in Dhaka indicates that a modern and environmentally friendly approach is needed. The current waste management practices pose health and livelihood risks. The success of the waste-to-energy project and adherence to the master plan will determine the future of waste management in Dhaka  {\ref (Jerin et al., 2022)}.\par
The developments in SWM in Dhaka, including compost production, construction of STS, and coordination of waste collection, reflect efforts to improve waste management practices \hyperref[b39]{(Kabir, 2015)}. However, the waste management situation in Dhaka requires a more modern and environmentally friendly approach to address the existing challenges effectively. Solid waste mismanagement is a global problem with far-reaching consequences for environmental pollution, social inclusion and economic sustainability, especially in developing countries, and Dhaka, the capital of Bangladesh, is one of them. Dhaka City Corporation is facing serious challenges in providing a satisfactory service to city dwellers due to limited resources and poor management plans, highlighting the need for more comprehensive and sustained efforts to improve waste management practices in the city \hyperref[b40]{(Ahsan, et al., 2014)}.\par
Insufficient waste management practices pose significant threats to both the environment and the wellbeing of Dhaka's residents \hyperref[b41]{(Haque \& Alam, 2012)}. Hence, it is essential to increase investment in education and training for waste management professionals, infrastructural development, awareness campaigns, and resources to support sustainable waste management practices  {\ref (World Bank, 2011)}. This paper highlights the urgent need for innovative approaches, increased awareness, and targeted policies to address the challenges of solid waste management in Dhaka, Bangladesh.\par
Furthermore, this study provides insights into the challenges and implications of solid waste management in  {\ref Dhaka} collaboration among stakeholders. Evaluating the effectiveness of these strategies, particularly those targeting vulnerable populations, and exploring innovative waste management approaches are essential for a cleaner and healthier environment, improved public health outcomes, and enhanced human development and poverty alleviation efforts in Dhaka.\par
As inadequate waste management disproportionately affects these communities, it is crucial to address the unique needs of vulnerable groups \hyperref[b43]{(Hoornweg, D. 2012)}. Solid waste management is interconnected with environmental health, poverty alleviation, and economic development \hyperref[b44]{(Wilson, et al., 2015)}. Therefore, waste management should be approached as an integral part of sustainable development, offering potential benefits such as employment opportunities, reduced health costs, and economic growth (World Bank, 2012).\par
Nevertheless, further studies should concentrate on assessing the efficacy of these methods, particularly those that target disadvantaged communities, and investigating cutting-edge waste management strategies in the context of Dhaka. By addressing these critical issues, Dhaka can work towards a cleaner and healthier environment, improved public health outcomes, and enhanced human development and poverty alleviation efforts.\par
Inadequate solid waste management in Dhaka, Bangladesh has far-reaching implications for human development, poverty, and health. The city's poor waste management practices have led to an increased prevalence of infectious diseases, degraded air and water quality, and contributed to a high rate of poverty and illness. It is crucial to recognize the importance of sustainable solid waste management (SWM) in achieving human development goals and addressing these pressing concerns in Dhaka. This study sheds light on the significant impact of solid waste management (SWM) on health outcomes and poverty alleviation in the city. The findings reveal that inadequate municipal solid waste management practices contribute to disease prevalence and pose substantial risks to public health. The inadequate disposal of waste not only leads to environmental pollution but also exacerbates poverty, particularly among low-income groups and slum dwellers.\par
Although there are numerous causes why a community falls under the grip of poverty, it is crucial to acknowledge that unsanitary living conditions, compromised health, and the prevalence of wasterelated communicable diseases significantly contribute to the perpetuation of poverty and the decline in living standards. This research nevertheless underscores the urgent requirement for comprehensive and effective strategies in solid waste management (SWM) specifically tailored to address the needs of vulnerable communities in Dhaka.\par
By revealing the negative consequences of poor waste management, it highlights the importance of prioritizing sophisticated waste management initiatives. These initiatives should encompass waste reduction, efficient collection systems, and recycling programs. Specifically, prioritizing solid waste management in slum areas should be a key focus. Furthermore, promoting community awareness and participatory campaigns is crucial to foster behavioural changes towards sustainable waste management practices. Achieving these goals requires collaboration between government agencies, non-governmental organizations, and local communities to develop and implement integrated waste management solutions.\par
The solution is achievable through the allocation of funds and the establishment of collaborative monitoring mechanisms among stakeholders. Applying these measures will yield significant benefits, including improved health, pollution control, reduced disease burden, increased income, and overall enhancement of human development. By striking a balance between these initiatives, Bangladesh can effectively address the challenges of waste management and pave the way for sustainable development.\par
Further research is required to explore the long-term impact and economic benefits of a comprehensive waste management system in Dhaka city. Scalability and replicability studies of successful waste management models in other urban contexts can contribute to broader knowledge and guide policy decisions. Furthermore, incorporating participatory approaches and engaging local communities will be instrumental in achieving equitable and sustainable SWM outcomes.  
\section[{Global Journal of Human Social Science}]{Global Journal of Human Social Science}\begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-2.png}
\caption{\label{fig_0}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-3.png}
\caption{\label{fig_1}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-4.png}
\caption{\label{fig_2}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-5.png}
\caption{\label{fig_3}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-6.png}
\caption{\label{fig_4}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-7.png}
\caption{\label{fig_5}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-8.png}
\caption{\label{fig_6}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{20}\includegraphics[]{image-9.png}
\caption{\label{fig_7}Question 20 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{24}\includegraphics[]{image-10.png}
\caption{\label{fig_8}Question 24 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-11.png}
\caption{\label{fig_9}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-12.png}
\caption{\label{fig_10}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-13.png}
\caption{\label{figure13}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-14.png}
\caption{\label{figure14}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-15.png}
\caption{\label{figure15}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-16.png}
\caption{\label{figure16}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-17.png}
\caption{\label{figure17}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-18.png}
\caption{\label{figure18}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-19.png}
\caption{\label{figure19}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-20.png}
\caption{\label{figure20}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-21.png}
\caption{\label{figure21}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-22.png}
\caption{\label{figure22}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-23.png}
\caption{\label{figure23}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-24.png}
\caption{\label{figure24}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-25.png}
\caption{\label{figure25}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-26.png}
\caption{\label{figure26}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-27.png}
\caption{\label{figure27}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-28.png}
\caption{\label{figure28}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-29.png}
\caption{\label{figure29}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-30.png}
\caption{\label{figure30}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.042198581560283686\textwidth}P{0.4581560283687943\textwidth}P{0.19290780141843972\textwidth}P{0.15673758865248225\textwidth}}
\#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\\
1\tabcellsep Under 18\tabcellsep 10\tabcellsep 9\%\\
2\tabcellsep 18 -25\tabcellsep 19\tabcellsep 17\%\\
3\tabcellsep 25 -35\tabcellsep 30\tabcellsep 27\%\\
4\tabcellsep 36 -50\tabcellsep 38\tabcellsep 34\%\\
5\tabcellsep Above 50\tabcellsep 14\tabcellsep 13\%\\
\tabcellsep Total\tabcellsep 111\tabcellsep 100\%\\
\tabcellsep Statistic\tabcellsep Value\tabcellsep \\
\tabcellsep Min Value\tabcellsep 1\tabcellsep \\
\tabcellsep Max Value\tabcellsep 5\tabcellsep \\
\tabcellsep Mean\tabcellsep 3.24\tabcellsep \end{longtable} \par
 
\begin{quote}
Davis, M. B. (1989). Retrospective studies. Long-term studies in ecology: Approaches and alternatives, 71-89. Source: Song JW, Chung KC. Observational studies: cohort and case-control studies. Plast Reconstr Surg. 2010 Dec; 126(6):2234-2242. doi: 10.1097/PRS.0b013e3181f44abc. PMID: 20697313; PMCID: PMC 2998589. Global Journal of Human Social Science -Year 2023 ( ) H Question 2: Please select your age category from the options below:\end{quote}

\caption{\label{tab_0}44}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.028468899521531102\textwidth}P{0.4717703349282297\textwidth}P{0.11794258373205742\textwidth}P{0.23181818181818178\textwidth}}
\tabcellsep Variance\tabcellsep 1.33\tabcellsep \\
\tabcellsep Standard Deviation\tabcellsep 1.15\tabcellsep \\
\tabcellsep Total Responses\tabcellsep 111\tabcellsep \\
\tabcellsep \tabcellsep \tabcellsep Year 2023\\
\tabcellsep \tabcellsep \tabcellsep )\\
\tabcellsep \tabcellsep \tabcellsep ( H\\
\tabcellsep \tabcellsep \tabcellsep -\\
\#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\\
1\tabcellsep Student\tabcellsep 10\tabcellsep 9\%\\
2\tabcellsep Day labourer\tabcellsep 13\tabcellsep 12\%\\
3\tabcellsep Housewife/casual labourer\tabcellsep 16\tabcellsep 14\%\\
4\tabcellsep Professional work\tabcellsep 19\tabcellsep 17\%\\
5\tabcellsep Business\tabcellsep 18\tabcellsep 16\%\\
\tabcellsep \tabcellsep \tabcellsep © 2023 Global Journals\end{longtable} \par
 
\begin{quote}
Question 3: What is your current occupation?\end{quote}

\caption{\label{tab_1}45}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.01888888888888889\textwidth}P{0.5558730158730159\textwidth}P{0.12412698412698413\textwidth}P{0.1511111111111111\textwidth}}
\#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\\
1\tabcellsep Primary education level\tabcellsep 26\tabcellsep 24\%\\
2\tabcellsep Secondary education level\tabcellsep 21\tabcellsep 19\%\\
3\tabcellsep Higher education (MA/PhD. Etc.)\tabcellsep 16\tabcellsep 15\%\\
4\tabcellsep University Degree\tabcellsep 23\tabcellsep 21\%\\
5\tabcellsep Never enrolled in school\tabcellsep 22\tabcellsep 20\%\\
\tabcellsep Total\tabcellsep 108\tabcellsep 100\%\\
\tabcellsep Statistic Min Value Max Value Mean\tabcellsep Value 1 5 2.94\tabcellsep Year 2023\\
\tabcellsep Variance\tabcellsep 2.20\tabcellsep \\
\tabcellsep Standard Deviation\tabcellsep 1.48\tabcellsep \\
\tabcellsep Total Responses\tabcellsep 108\tabcellsep \\
\tabcellsep \tabcellsep \tabcellsep )\\
\tabcellsep \tabcellsep \tabcellsep ( H\\
\tabcellsep \tabcellsep \tabcellsep Social Science -\end{longtable} \par
 
\begin{quote}
Question 5: What would be your average monthly income range (in BDT)? £1=BDT118\end{quote}

\caption{\label{tab_3}47}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.04738675958188153\textwidth}P{0.02665505226480836\textwidth}P{0.5449477351916375\textwidth}P{0.13623693379790938\textwidth}P{0.09477351916376306\textwidth}}
\tabcellsep \#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\\
Year 2023\tabcellsep 1 2\tabcellsep Less than Tk. 3000 Tk. 3000 -Tk. 5000\tabcellsep 20 11\tabcellsep 18\% 10\%\\
48\tabcellsep 3\tabcellsep Tk. 5000 -Tk. 15,000\tabcellsep 16\tabcellsep 15\%\\
\tabcellsep 4\tabcellsep Tk. 15,000 -Tk. 35,000\tabcellsep 21\tabcellsep 19\%\\
\tabcellsep 5\tabcellsep More than 35,000\tabcellsep 19\tabcellsep 17\%\\
\tabcellsep 6\tabcellsep Others\tabcellsep 23\tabcellsep 21\%\\
\tabcellsep \tabcellsep Total\tabcellsep 110\tabcellsep 100\%\\
\tabcellsep \tabcellsep Statistic\tabcellsep Value\tabcellsep \\
\tabcellsep \tabcellsep Min Value\tabcellsep 1\tabcellsep \\
\tabcellsep \tabcellsep Max Value\tabcellsep 6\tabcellsep \\
\tabcellsep \tabcellsep Mean\tabcellsep 3.70\tabcellsep \\
\tabcellsep \tabcellsep Variance\tabcellsep 3.13\tabcellsep \\
)\tabcellsep \tabcellsep Standard Deviation\tabcellsep 1.77\tabcellsep \\
( H\tabcellsep \tabcellsep Total Responses\tabcellsep 110\tabcellsep \\
-\tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\begin{quote}
Question 6: What type of housing do you live in?\end{quote}

\caption{\label{tab_4}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.02463768115942029\textwidth}P{0.56256038647343\textwidth}P{0.1683574879227053\textwidth}P{0.09444444444444444\textwidth}}
\#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\\
1\tabcellsep Less than 1 year\tabcellsep 20\tabcellsep 19\%\\
2\tabcellsep 1 to 5 years\tabcellsep 41\tabcellsep 38\%\\
3\tabcellsep More than 5 years\tabcellsep 26\tabcellsep 24\%\\
4\tabcellsep Permanent\tabcellsep 20\tabcellsep 19\%\\
\tabcellsep Total\tabcellsep 107\tabcellsep 100\%\\
\tabcellsep Statistic\tabcellsep Value\tabcellsep \\
\tabcellsep Min Value\tabcellsep 1\tabcellsep \\
\tabcellsep Max Value\tabcellsep 4\tabcellsep \\
\tabcellsep Mean\tabcellsep 2.43\tabcellsep \\
\tabcellsep Variance\tabcellsep 1.00\tabcellsep \\
\tabcellsep Standard Deviation\tabcellsep 1.00\tabcellsep \\
\tabcellsep Total Responses\tabcellsep 107\tabcellsep \end{longtable} \par
 
\begin{quote}
Question 7: How long have you been a resident of this property?\end{quote}

\caption{\label{tab_6}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.030797101449275364\textwidth}P{0.29565217391304344\textwidth}P{0.12626811594202897\textwidth}P{0.15090579710144927\textwidth}P{0.08623188405797101\textwidth}P{0.16014492753623188\textwidth}}
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Year 2023\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep )\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep ( H\\
\# 1 2 3 4\tabcellsep Answer 2 -4 members 4 -5 members 5 -7 Members More than 7 Total\tabcellsep Statistic Min Value Max Value\tabcellsep Value 1 4 Response 33 38 22 16 109\tabcellsep \% 30\% 35\% 20\% 15\% 100\%\tabcellsep -Global Journal of Human Social Science\\
\tabcellsep \tabcellsep Mean\tabcellsep 2.19\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep Variance\tabcellsep 1.06\tabcellsep \tabcellsep \\
\tabcellsep \multicolumn{2}{l}{Standard Deviation}\tabcellsep 1.03\tabcellsep \tabcellsep \\
\tabcellsep \multicolumn{2}{l}{Total Responses}\tabcellsep 109\tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_7}51}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.04610169491525423\textwidth}P{0.02016949152542373\textwidth}P{0.547457627118644\textwidth}P{0.11813559322033898\textwidth}P{0.07203389830508473\textwidth}P{0.04610169491525423\textwidth}}
\tabcellsep \tabcellsep Statistic\tabcellsep Value\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep Min Value\tabcellsep 1\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep Max Value\tabcellsep 5\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep Mean\tabcellsep 2.22\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep Variance\tabcellsep 2.12\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep Standard Deviation\tabcellsep 1.46\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep Total Responses\tabcellsep 110\tabcellsep \tabcellsep \\
Year 2023\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Year 2023\\
52\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep 53\\
)\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep )\\
( H\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep ( H\\
-\tabcellsep \#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\tabcellsep -\\
\tabcellsep 1\tabcellsep Bins inside the house\tabcellsep 59\tabcellsep 54\%\tabcellsep \\
\tabcellsep 2\tabcellsep Disposal bin in front of the house\tabcellsep 6\tabcellsep 5\%\tabcellsep \\
\tabcellsep 3\tabcellsep Litter beside road\tabcellsep 16\tabcellsep 15\%\tabcellsep \\
\tabcellsep 4\tabcellsep Dispose of anywhere\tabcellsep 20\tabcellsep 18\%\tabcellsep \\
\tabcellsep 5\tabcellsep In roadside bin\tabcellsep 9\tabcellsep 8\%\tabcellsep \\
\tabcellsep \tabcellsep Total\tabcellsep 110\tabcellsep 100\%\tabcellsep \end{longtable} \par
 
\begin{quote}
members\end{quote}

\caption{\label{tab_8}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.04601910828025478\textwidth}P{0.49267515923566874\textwidth}P{0.10828025477707005\textwidth}P{0.021656050955414015\textwidth}P{0.07308917197452229\textwidth}P{0.10828025477707005\textwidth}}
5\tabcellsep Yes\tabcellsep 76\tabcellsep \tabcellsep \multicolumn{2}{l}{68\%}\\
6\tabcellsep No\tabcellsep 37\tabcellsep \tabcellsep \multicolumn{2}{l}{33\%}\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Year 2023\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep 55\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep )\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep ( H\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep -\\
\#\tabcellsep Answer\tabcellsep \multicolumn{2}{l}{Response}\tabcellsep \tabcellsep \%\\
\#\tabcellsep Answer\tabcellsep Response\tabcellsep \tabcellsep \%\tabcellsep \\
1\tabcellsep Daily\tabcellsep \tabcellsep 12\tabcellsep \tabcellsep 52\%\\
2 1\tabcellsep 2 -3 Times a Week From home\tabcellsep 55\tabcellsep 6\tabcellsep 50\%\tabcellsep 26\%\\
3 2\tabcellsep Once a Week From the disposal bin in front of your house\tabcellsep 19\tabcellsep 1\tabcellsep 17\%\tabcellsep 4\%\\
4 3\tabcellsep 5 -6 days a week Please specify\tabcellsep 37\tabcellsep 2\tabcellsep 33\%\tabcellsep 9\%\\
5\tabcellsep None Total\tabcellsep 111\tabcellsep 2\tabcellsep 100\%\tabcellsep 9\%\\
\tabcellsep Total\tabcellsep \tabcellsep 23\tabcellsep \tabcellsep 100\%\\
\tabcellsep Statistic\tabcellsep \multicolumn{2}{l}{Value}\tabcellsep \tabcellsep \\
\tabcellsep Min Value\tabcellsep 1\tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep Max Value\tabcellsep 5\tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep Mean\tabcellsep \multicolumn{2}{l}{1.96}\tabcellsep \tabcellsep \end{longtable} \par
 
\begin{quote}
\par
\par
suggesting a well-established waste management infrastructure in high income area. However, a significant proportion of respondents reported the of those who currently do not have access to waste disposal services.Question 11: If yes, how often does the waste picker collect waste from your household?mean value of 1.96, indicating that waste pickers Question 12: From where waste picker collects your household waste?\end{quote}

\caption{\label{tab_9}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.023014440433212994\textwidth}P{0.425\textwidth}P{0.401985559566787\textwidth}}
\tabcellsep Please specify\\
\tabcellsep None\\
\tabcellsep None\\
\tabcellsep N/A\\
\tabcellsep Road\\
\tabcellsep roadside\\
\tabcellsep N/A\\
\tabcellsep No idea\\
\tabcellsep no idea\\
\tabcellsep No idea\\
\tabcellsep Don't know\\
\tabcellsep No idea\\
\tabcellsep None\\
\tabcellsep None\\
Year 2023\tabcellsep On my own None None Nowhere\\
56\tabcellsep No None\\
\tabcellsep None\\
\tabcellsep no idea\\
\tabcellsep no idea\\
\tabcellsep None\\
\tabcellsep N/A\\
\tabcellsep roadside\\
\tabcellsep None\\
\tabcellsep roadside\\
\tabcellsep None\\
\tabcellsep N/A\\
\tabcellsep None\\
\tabcellsep None\\
\tabcellsep no idea\\
\tabcellsep None\\
)\tabcellsep None\\
( H\tabcellsep Don't know\\
\tabcellsep Statistic\tabcellsep Value\\
\tabcellsep Min Value\tabcellsep 1\\
\tabcellsep Max Value\tabcellsep 3\\
\tabcellsep Mean\tabcellsep 1.84\\
\tabcellsep Variance\tabcellsep 0.81\\
\tabcellsep Standard Deviation\tabcellsep 0.90\\
\tabcellsep Total Responses\tabcellsep 111\\
\tabcellsep \tabcellsep The statistical analysis revealed that the mean\\
\tabcellsep \tabcellsep value was 1.84, with a minimum value of 1 and a\\
\tabcellsep \tabcellsep maximum value of 3. The findings highlight the\\
\tabcellsep \tabcellsep importance of establishing clear communication and\\
\tabcellsep \tabcellsep understanding between households and waste pickers\end{longtable} \par
 
\caption{\label{tab_10}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.026327433628318582\textwidth}P{0.5754424778761063\textwidth}P{0.15420353982300886\textwidth}P{0.09402654867256638\textwidth}}
\#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\\
1\tabcellsep Strongly Disagree\tabcellsep 1\tabcellsep 1\%\\
2\tabcellsep Disagree\tabcellsep 9\tabcellsep 8\%\\
3\tabcellsep Neither Agree nor Disagree\tabcellsep 18\tabcellsep 17\%\\
4\tabcellsep Agree\tabcellsep 48\tabcellsep 44\%\\
5\tabcellsep Strongly Agree\tabcellsep 33\tabcellsep 30\%\\
\tabcellsep Total\tabcellsep 109\tabcellsep 100\%\\
\tabcellsep Statistic\tabcellsep Value\tabcellsep \\
\tabcellsep Min Value\tabcellsep 1\tabcellsep \\
\tabcellsep Max Value\tabcellsep 5\tabcellsep \\
\tabcellsep Mean\tabcellsep 3.94\tabcellsep \\
\tabcellsep Variance\tabcellsep 0.89\tabcellsep \\
\tabcellsep Standard Deviation\tabcellsep 0.94\tabcellsep \\
\tabcellsep Total Responses\tabcellsep 109\tabcellsep \end{longtable} \par
 
\begin{quote}
\par
2023( ) H\end{quote}

\caption{\label{tab_14}61}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.1472644376899696\textwidth}P{0.42112462006079027\textwidth}P{0.06717325227963525\textwidth}P{0.07234042553191489\textwidth}P{0.14209726443768997\textwidth}}
\tabcellsep Statistic\tabcellsep Value\tabcellsep \tabcellsep \\
\tabcellsep Min Value\tabcellsep 1\tabcellsep \tabcellsep \\
\tabcellsep Max Value\tabcellsep 6\tabcellsep \tabcellsep \\
\tabcellsep Total Responses\tabcellsep 106\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep Year 2023\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep 63\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep )\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep ( H\\
1 2 3 4 5\tabcellsep Diarrheal diseases Chest complications Skin diseases Abdominal Parasite Poliomyelitis communicable diseases\tabcellsep 83 29 31 65 16\tabcellsep 78\% 27\% 29\% 61\% 15\%\tabcellsep Global Journal of Human Social Science -\\
6\tabcellsep Please Specify\tabcellsep 11\tabcellsep 10\%\tabcellsep \\
\multicolumn{2}{l}{Please Specify}\tabcellsep \tabcellsep \tabcellsep \\
\multicolumn{2}{l}{NAD/ Asthma}\tabcellsep \tabcellsep \tabcellsep \\
\multicolumn{2}{l}{Asthma}\tabcellsep \tabcellsep \tabcellsep \\
\multicolumn{2}{l}{Asthma}\tabcellsep \tabcellsep \tabcellsep \\
\multicolumn{2}{l}{NAD/Asthma}\tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\begin{quote}
Question 18: Which age group in your family is most affected by communicable diseases related to waste?\end{quote}

\caption{\label{tab_15}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.09233226837060703\textwidth}P{0.5105431309904154\textwidth}P{0.15207667731629393\textwidth}P{0.0950479233226837\textwidth}}
-Social Science Year 2023 ( ) H 64\tabcellsep Analysis and Findings Answer 1 0 -12 2 12 -20 3 20 -35 4 35 -50 5 Over 50 6 All of them Total Statistic Min Value Max Value Mean Variance Standard Deviation Question 19: \# Total Responses\tabcellsep Response 41 20 5 2 4 33 105 Value 1 6 3.07 4.79 2.19 105\tabcellsep \% 39\% 19\% 5\% 2\% 4\% 31\% 100\%\end{longtable} \par
 
\caption{\label{tab_16}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.02607361963190184\textwidth}P{0.4641104294478527\textwidth}P{0.19815950920245398\textwidth}P{0.0834355828220859\textwidth}P{0.07822085889570551\textwidth}}
\#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\tabcellsep \\
1 2\tabcellsep Yes No\tabcellsep 67 40\tabcellsep 63\% 37\%\tabcellsep Year 2023\\
\tabcellsep Total\tabcellsep 107\tabcellsep 100\%\tabcellsep 67\\
\tabcellsep Statistic\tabcellsep Value\tabcellsep \tabcellsep \\
\tabcellsep Min Value\tabcellsep 1\tabcellsep \tabcellsep \\
\tabcellsep Max Value\tabcellsep 2\tabcellsep \tabcellsep \\
\tabcellsep Mean\tabcellsep 1.37\tabcellsep \tabcellsep \\
\tabcellsep Variance\tabcellsep 0.24\tabcellsep \tabcellsep \\
\tabcellsep Standard Deviation\tabcellsep 0.49\tabcellsep \tabcellsep \\
\tabcellsep Total Responses\tabcellsep 107\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep H\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep )\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep (\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep -\end{longtable} \par
 
\caption{\label{tab_18}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.15421940928270042\textwidth}P{0.45189873417721516\textwidth}P{0.16139240506329114\textwidth}P{0.08248945147679324\textwidth}}
\#\tabcellsep Answer\tabcellsep Response\tabcellsep \%\\
1\tabcellsep Once\tabcellsep 31\tabcellsep 30\%\\
2\tabcellsep 2 to 3 times\tabcellsep 34\tabcellsep 32\%\\
3\tabcellsep More than 3 times\tabcellsep 30\tabcellsep 29\%\\
4\tabcellsep Others\tabcellsep 10\tabcellsep 10\%\\
\tabcellsep Total\tabcellsep 105\tabcellsep 100\%\\
Year 2023\tabcellsep Statistic Min Value Max Value Mean Variance\tabcellsep Value 1 4 2.18 0.94\tabcellsep \\
68\tabcellsep Standard Deviation\tabcellsep 0.97\tabcellsep \\
\tabcellsep Total Responses\tabcellsep 105\tabcellsep \\
)\tabcellsep \tabcellsep \tabcellsep \\
( H\tabcellsep \tabcellsep \tabcellsep \\
Human Social Science -\tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\begin{quote}
Question 23: Can proper waste management effectively prevent such communicable diseases?\end{quote}

\caption{\label{tab_19}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.02639751552795031\textwidth}P{0.46987577639751554\textwidth}P{0.20062111801242236\textwidth}P{0.07919254658385093\textwidth}P{0.07391304347826086\textwidth}}
\# 1\tabcellsep Answer Yes\tabcellsep Response 102\tabcellsep \% 95\%\tabcellsep Year 2023\\
2\tabcellsep No\tabcellsep 5\tabcellsep 5\%\tabcellsep \\
\tabcellsep Total\tabcellsep 107\tabcellsep 100\%\tabcellsep \\
\tabcellsep Statistic\tabcellsep Value\tabcellsep \tabcellsep \\
\tabcellsep Min Value\tabcellsep 1\tabcellsep \tabcellsep \\
\tabcellsep Max Value\tabcellsep 2\tabcellsep \tabcellsep \\
\tabcellsep Mean\tabcellsep 1.05\tabcellsep \tabcellsep \\
\tabcellsep Variance\tabcellsep 0.04\tabcellsep \tabcellsep \\
\tabcellsep Standard Deviation\tabcellsep 0.21\tabcellsep \tabcellsep \\
\tabcellsep Total Responses\tabcellsep 107\tabcellsep \tabcellsep \\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep )\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep ( H\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep -\end{longtable} \par
 
\caption{\label{tab_20}69}\end{figure}
 			\label{foot_0}\footnote{\label{foot_0} McAllister, Jessica, "Factors Influencing Solid-Waste Management in the Developing World" (2015). All Graduate Plan B and other Reports.} 			\label{foot_1}\footnote{\label{foot_1} See, https://dncc.gov.bd} 			\label{foot_2}\footnote{\label{foot_2} See, https://www.academia.edu/24448799/A\textunderscore Case\textunderscore Study\textunderscore on\textunderscore Dhaka \textunderscore South\textunderscore City\textunderscore Corporation\textunderscore DSCC\textunderscore } 			\label{foot_3}\footnote{\label{foot_3} Singh, P. K., \& Chudasama, H. (2020). Evaluating poverty alleviation strategies in a developing country. PloS one, 15(1), e0227176.} 			\label{foot_4}\footnote{\label{foot_4} See, What a Waste: An Updated Look into the Future of Solid Waste Management. https://www.worldbank.org/en/news/immersive-story/20 18/09/20/what-a-waste-an-updated-look-into-the-future-of-solid-wastemanagement} 			\label{foot_5}\footnote{\label{foot_5} \hyperref[b6]{7} In Book: Environmental Thoughts, Part-I, 2019 (} 			\label{foot_6}\footnote{\label{foot_6} pp. 80 -118) Edition: March-2019 Chapter: Municipal Solid Waste Management in Dhaka} 			\label{foot_7}\footnote{\label{foot_7} See, https://education.nova.edu/Resources/uploads/app/35/files/arc \textunderscore doc/mixed\textunderscore methods.pdf} 			\label{foot_8}\footnote{\label{foot_8} A semi-structured interview is a qualitative research method used to gain an in-depth understanding of the respondent's feelings and beliefs on specific issues.} 			\label{foot_9}\footnote{\label{foot_9} \hyperref[b30]{Johnston, M. P. (2014)}. Secondary data analysis: A method of which the time has come. Qualitative and quantitative methods in libraries, 3(3), 619-626.} 			\label{foot_10}\footnote{\label{foot_10} NGO stands for non-governmental organization. Source: ngosour ce.org} 			\label{foot_11}\footnote{\label{foot_11} American Planning Association.(2002). APA Policy Guide on Solid and Hazardous Waste Management. Retrieved from https://www.plan ning.org/policy/guides/adopted/wastemgmt.htm} 			\label{foot_12}\footnote{\label{foot_12} See, Nuremberg Code. https://research.unc.edu/human-researchethics/resources/ccm3\textunderscore 019064/} 			\label{foot_13}\footnote{\label{foot_13} Unveiling the Impact of Solid Waste Management on Health and Poverty Alleviation in Dhaka City} 		 		\backmatter   			 \par
//www.macrotrends. net/cities/20119/dhaka/population 			  			  				\begin{bibitemlist}{1}
\bibitem[Choudhury ()]{b8}\label{b8} 	 		\textit{},  		 			S Choudhury 		.  		 \url{https://www.epa.gov/sites/production/files/documents/newyorkcityswm.pdf}  		2010. New York City.  		 			Solid Waste Management. Environmental Protection Agency 		 	 
\bibitem[Yousuf and Reza ()]{b36}\label{b36} 	 		‘3R (Reduce, Reuse and Recycle) action plan for the city corporations in Bangladesh: paradigm shift of waste management to resource management’.  		 			T B Yousuf 		,  		 			A Reza 		.  	 	 		\textit{Proceedings of International Conference on Solid Waste Management in the Developing Countries. Paper No (},  		 (International Conference on Solid Waste Management in the Developing Countries. Paper No ()  		2013. 122 p. .  	 
\bibitem[Zahur et al. ()]{b31}\label{b31} 	 		‘7\textunderscore Solid\textunderscore waste\textunderscore management\textunderscore of\textunderscore Dhaka\textunderscore city\textunderscore public \textunderscore private\textunderscore community\textunderscore partnership Unveiling the Impact of Solid Waste Management on Health and Poverty Alleviation in Dhaka City 33’.  		 			M Zahur 		,  		 			T Ahsan 		,  		 			A U Zaman 		.  		 \url{https://www.researchgate.net/publication/22835800}  	 	 		\textit{Solid waste management of Dhaka city: public private community partnership},  		 (Dhaka, Bangladesh)  		2007. 2014. 4 p. .  	 	 (: Users' perspective) 
\bibitem[Bhuiyan ()]{b19}\label{b19} 	 		‘A crisis in governance: Urban solid waste management in Bangladesh’.  		 			S H Bhuiyan 		.  	 	 		\textit{Habitat international}  		2010. 34  (1)  p. .  	 
\bibitem[Dearnley ()]{b29}\label{b29} 	 		‘A reflection on the use of semistructured interviews’.  		 			C Dearnley 		.  	 	 		\textit{Nurse researcher}  		2005.  (1)  p. 13.  	 
\bibitem[Yasmin and Rahman ()]{b4}\label{b4} 	 		‘A review of solid waste management practice in Dhaka City, Unveiling the Impact of Solid Waste Management on Health and Poverty Alleviation in Dhaka City Bangladesh’.  		 			S Yasmin 		,  		 			M I Rahman 		.  	 	 		\textit{International Journal of Environmental Protection and Policy}  		2017. 5 p. .  	 
\bibitem[Vashi and Desai ()]{b34}\label{b34} 	 		‘A review on recent advancement in solid waste management concept’.  		 			M P Vashi 		,  		 			K A Desai 		.  	 	 		\textit{J. Environ. Eng. Stud}  		2018. 3  (2)  p. .  	 
\bibitem[Magaji and Dakyes ()]{b16}\label{b16} 	 		‘An assessment of socio-economic impact of waste scavenging as a means of poverty alleviation in Gwagwalada’.  		 			J Y Magaji 		,  		 			S P Dakyes 		.  	 	 		\textit{Abuja. Confluence Journal of Environmental Studies}  		2011. 2011. 11 p. .  	 
\bibitem[Jerin et al. ()]{b9}\label{b9} 	 		\textit{An overview of progress towards implementation of solid waste management policies in Dhaka},  		 			D T Jerin 		,  		 			H H Sara 		,  		 			M A Radia 		,  		 			P S Hema 		,  		 			S Hasan 		,  		 			S A Urme 		,  		 			. . Quayyum 		,  		 			Z 		.  		2022.  	 	 (Bangladesh. Heliyon, e08918) 
\bibitem[Ashikuzzaman and Howlader ()]{b18}\label{b18} 	 		‘An overview of solid waste management in Bangladesh: Current practices and challenges’.  		 			M Ashikuzzaman 		,  		 			M S Howlader 		.  	 	 		\textit{Waste Management \& Research}  		2020. 38  (12)  p. .  	 
\bibitem[APA Policy Guide on Solid and Hazardous Waste Management ()]{b22}\label{b22} 	 		\textit{APA Policy Guide on Solid and Hazardous Waste Management},  		 \url{https://www.planning.org/policy/guides/adopted/wastemgmt.htm}  		2002. American Planning Association.  	 
\bibitem[Jerin et al. ()]{b38}\label{b38} 	 		\textit{Assessment of environmental and health impacts due to improper solid waste management in Dhaka City},  		 			M Jerin 		,  		 			M M Rashid 		,  		 			S Hossain 		,  		 			A Haque 		.  		2022. Bangladesh: Sustainable Cities and Society. 75 p. 103468.  	 
\bibitem[Ahsan et al. ()]{b40}\label{b40} 	 		‘Assessment of municipal solid waste management system in a developing country’.  		 			A Ahsan 		,  		 			M Alamgir 		,  		 			M M El-Sergany 		,  		 			S Shams 		,  		 			M K Rowshon 		,  		 			N N Daud 		.  	 	 		\textit{Chinese Journal of Engineering}  		2014. 2014.  (12a)  p. .  	 
\bibitem[Dhaka ()]{b0}\label{b0} 	 		‘Bangladesh Metro Area Population’.  		 			Dhaka 		.  		 \url{https://www.macrotrends.net/cities/20119/dhaka/population}  	 	 		\textit{MacroTrends},  		1950-2023.  	 
\bibitem[Giordano et al. ()]{b26}\label{b26} 	 		‘Confidentiality and autonomy: The challenge (s) of offering research participants a choice of disclosing their identity’.  		 			J Giordano 		,  		 			M O'reilly 		,  		 			H Taylor 		,  		 			N Dogra 		.  	 	 		\textit{Qualitative health research}  		2007. 17  (2)  p. .  	 
\bibitem[Davis ()]{b24}\label{b24} 	 		 			M B Davis 		.  		\textit{Retrospective studies. Longterm studies in ecology: Approaches and alternatives},  		1989. p. .  	 
\bibitem[Azom et al. ()]{b13}\label{b13} 	 		‘Environmental impact assessment of tanneries: a case study of Hazaribag in Bangladesh’.  		 			M R Azom 		,  		 			K Mahmud 		,  		 			S M Yahya 		,  		 			A Sontu 		,  		 			S B Himon 		.  	 	 		\textit{International Journal of Environmental Science and Development}  		2012. 3  (2)  p. 152.  	 
\bibitem[Triassi et al. ()]{b14}\label{b14} 	 		‘Environmental pollution from illegal waste disposal and health effects: A review on the "Triangle of Death’.  		 			M Triassi 		,  		 			R Alfano 		,  		 			M Illario 		,  		 			A Nardone 		,  		 			O Caporale 		,  		 			P Montuori 		.  	 	 		\textit{International journal of environmental research and public health}  		2015. 12  (2)  p. .  	 
\bibitem[Connelly ()]{b25}\label{b25} 	 		‘Ethical considerations in research studies’.  		 			L M Connelly 		.  	 	 		\textit{Medsurg Nursing}  		2014. 23  (1)  p. .  	 
\bibitem[Dihan et al. ()]{b32}\label{b32} 	 		‘Healthcare waste in Bangladesh: Current status, the impact of Covid-19 and sustainable management with life cycle and circular economy framework’.  		 			M R Dihan 		,  		 			S A Nayeem 		,  		 			H Roy 		,  		 			M S Islam 		,  		 			A Islam 		,  		 			A K Alsukaibi 		,  		 			M R Awual 		.  	 	 		\textit{Science of The Total Environment}  		2023. 871 p. 162083.  	 
\bibitem[Inclusive green growth: The pathway to sustainable development ()]{b45}\label{b45} 	 		\textit{Inclusive green growth: The pathway to sustainable development},  		 \xref{http://dx.doi.org/10.1596/978-0-8213-9551-6}{10.1596/978-0-8213-9551-6}.  		 \url{https://elibrary.worldbank.org/doi/abs/10.1596/978-0-8213-9551-6}  		2012. The World Bank.  	 
\bibitem[Who ()]{b5}\label{b5} 	 		\textit{Infectious agents and parasites for faecal-oral diseases},  		 			Who 		.  		 \url{https://www.who.int/water\textunderscore sanitation\textunderscore health/diseases/fecaloraldis/en/}  		2012.  	 
\bibitem[Kothari ()]{b28}\label{b28} 	 		 			C R Kothari 		.  		\textit{Research methodology: Methods and techniques. New Age International},  		2004.  	 
\bibitem[Saifullah and Islam ()]{b20}\label{b20} 	 		‘Municipal solid waste (MSW) management in Dhaka City’.  		 			A Z A Saifullah 		,  		 			M T Islam 		.  	 	 		\textit{Bangladesh. American Journal of Engineering Research}  		2016. 5  (2)  p. .  	 
\bibitem[Hasan and Chowdhury]{b12}\label{b12} 	 		\textit{Municipal solid waste management and environmental hazards on Bangladesh},  		 			G M J Hasan 		,  		 			A I Chowdhury 		.  		Asian Journal of Water, Environment and Pollution.  	 
\bibitem[Prodhan and Kaeserb ()]{b1}\label{b1} 	 		\textit{Municipal Solid Waste Management in Dhaka City: Present Status, Problems, and Probable Solutions-A Review},  		 			A S U Prodhan 		,  		 			A Kaeserb 		.  		2019.  	 	 (book: Environmental Thoughts, Part-I) 
\bibitem[Kabir ()]{b39}\label{b39} 	 		‘Municipal solid waste management system: a study on Dhaka north and South City corporations’.  		 			M R Kabir 		.  	 	 		\textit{Bangladesh Inst. Plan}  		2015. 2075. p. 9363.  	 
\bibitem[Doe ()]{b35}\label{b35} 	 		\textit{National 3R Strategy for Waste Management. Ministry of Environment and Forest government of the People's Republic of Bangla deshhttps},  		 			Doe 		.  		 \url{//faolex.fao.org/docs/pdf/bgd190976.pdf}  		2010.  	 
\bibitem[Williamson ()]{b27}\label{b27} 	 		‘Questionnaires, individual interviews and focus groups’.  		 			C Williamson 		.  	 	 		\textit{Research methods: Information, systems, and contexts},  		2013. Tilde University Press. p. .  	 
\bibitem[Johnston ()]{b30}\label{b30} 	 		‘Secondary data analysis: A method of which the time has come’.  		 			M P Johnston 		.  	 	 		\textit{Qualitative and quantitative methods in libraries}  		2014. 3  (3)  p. .  	 
\bibitem[Shrinking resource base and worsening living conditions weaken the productive capacity of the poor ()]{b7}\label{b7} 	 		\textit{Shrinking resource base and worsening living conditions weaken the productive capacity of the poor},  		 \url{https://www3.epa.gov/poverty/}  		2002. US Environmental Protection Agency.  	 
\bibitem[Singh et al. ()]{b33}\label{b33} 	 		‘Smart technological options in collection and transportation of municipal solid waste in urban areas: A mini review’.  		 			D Singh 		,  		 			A K Dikshit 		,  		 			S Kumar 		.  	 	 		\textit{Waste Management \& Research}  		2023. p. .  	 
\bibitem[Solid Waste Management in Dhaka ()]{b2}\label{b2} 	 		\textit{Solid Waste Management in Dhaka},  		 \url{http://www.ccacoalition.org/sites/default/files/SWM\textunderscore in\textunderscore Dhaka\textunderscore Bangladesh\textunderscore 2012.pdf}  		2012. Climate and Clean Air Coalition.  	 
\bibitem[Haque and Alam ()]{b41}\label{b41} 	 		‘Solid waste management in Dhaka, Bangladesh: Problems and prospects’.  		 			M E Haque 		,  		 			K Alam 		.  		 \xref{http://dx.doi.org/10.1177/0734242X12452928}{10.1177/0734242X12452928}.  	 	 		\textit{Waste Management \& Research}  		2012. 30  (6)  p. .  	 
\bibitem[Ashikuzzaman and Howlader ()]{b17}\label{b17} 	 		\textit{Sustainable solid waste management in Bangladesh: issues and challenges. Sustainable waste management challenges in developing countries},  		 			M Ashikuzzaman 		,  		 			M H Howlader 		.  		2020. p. .  	 
\bibitem[Japan International Cooperation Agency. ()]{b10}\label{b10} 	 		\textit{The study on the solid waste management in Dhaka city},  		 			Japan International Cooperation Agency. 		.  		2005.  		 			Dhaka City Corporation 		 	 	 (DCC-JICA report) 	 (The People's Republic of Bangladesh) 
\bibitem[Trends in Human Development Index Human Development Reports ()]{b21}\label{b21} 	 		‘Trends in Human Development Index’.  		 \url{https://hdr.undp.org/data-center/human-development-index\#/indicies/HDI}  	 	 		\textit{Human Development Reports}  		1990-2021. August 8, 2012.  	 	 (United Nations.) 
\bibitem[Enayetullah et al. ()]{b11}\label{b11} 	 		\textit{Urban solid waste management scenario of Bangladesh: Problems and prospects},  		 			I Enayetullah 		,  		 			A H M M Sinha 		,  		 			S S A Khan 		.  		2005. Waste Concern Technical Documentation.  	 
\bibitem[Islam ()]{b3}\label{b3} 	 		‘Urban waste management in Bangladesh: an overview with a focus on Dhaka’.  		 			S Islam 		.  	 	 		\textit{Proceedings of the 23rd ASEF Summer University ASEF Education Department, Virtual},  		 (the 23rd ASEF Summer University ASEF Education Department, Virtual)  		2021. p. 20.  	 
\bibitem[Undp ()]{b42}\label{b42} 	 		\textit{Voices from the Slums: Challenges and Opportunities for Economic Participation in Urban Bangladesh" by the United Nations Development Programme},  		 			Undp 		.  		2013.  	 
\bibitem[Saqib ()]{b37}\label{b37} 	 		\textit{Waste Disposal \& Management In Dhaka North City Corporation (Doctoral dissertation},  		 			M Saqib 		.  		2018.  		 			Bangladesh University of Engineering and Technology 		 	 
\bibitem[Waste Types ()]{b6}\label{b6} 	 		\textit{Waste Types},  		 \url{https://www.epa.gov/siting-pollution-control-and-cleanup/waste-types}  		2013.  		 			U.S. Environmental Protection Agency 		 	 
\bibitem[Hoornweg (2012)]{b43}\label{b43} 	 		\textit{What a Waste : A Global Review of Solid Waste Management},  		 			D Hoornweg 		.  		 \url{https://openknowledge.worldbank.org/entities/publication/1}  		2012. March 1.  	 	 (a464650-9d7a-58bb-b0ea-33ac4cd1f73c) 
\bibitem[Silpa (2018)]{b15}\label{b15} 	 		\textit{What a Waste: An Updated Look into the Future of Solid Waste Management},  		 			Kaza Silpa 		.  		 \url{https://www.worldbank.org/en/news/immersive-story/2018/09/20/what-a-waste-an-updated-look-into-the-future-of-solid-waste-management}  		2018. 2018, September 20. World Bank.  	 
\bibitem[Wilson et al. ()]{b44}\label{b44} 	 		 			D C Wilson 		,  		 			L Rodic 		,  		 			P Modak 		,  		 			R Soos 		,  		 			A Carpintero 		,  		 			K Velis 		,  		 			. . Simonett 		,  		 			O 		.  		\textit{Global waste management outlook},  		2015. UNEP.  	 
\bibitem[World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects World Medical Association ()]{b23}\label{b23} 	 		‘World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects’.  	 	 		\textit{World Medical Association}  		2013.  (20)  p. .  	 	 (Jama) 
\end{bibitemlist}
 			 		 	 
\end{document}
