F. Ahmed, T. S. Ratna, N. Sharmin, A. Chowdhury, S. Rana, S. Hasasn, S. H. Tumon, S. Islam, M. M. Hossain
{"title":"达卡北部城市公司家庭固体废物收集者的健康危害:COVID 后研究","authors":"F. Ahmed, T. S. Ratna, N. Sharmin, A. Chowdhury, S. Rana, S. Hasasn, S. H. Tumon, S. Islam, M. M. Hossain","doi":"10.1007/s13762-024-05966-1","DOIUrl":null,"url":null,"abstract":"<p>Solid waste management has been one of the challenging tasks for the waste collectors at Dhaka North City corporations, especially during the post-COVID-19 period, since this task exposes several acute and chronic illnesses. The perilous implications of waste collection on the health condition of the waste collectors at the Dhaka North City Corporation (DNCC) have often been ignored, and they have to work without adequate protective measures. Though different research has already been done regarding the occupational health hazards of waste collectors, the novelty of this study is that it considers the post-COVID period and focuses on the solid waste picker of DNCC. This study aimed to evaluate the current health hazards faced by DNCC household waste collectors and suggest remedial actions. A questionnaire-based survey (<i>n</i> = 415) assessed work environment, socio-economic status, and post-COVID-19 health hazard awareness through convenience sampling. Descriptive statistics, Pearson’s chi-square tests, and binary logistic regression were adopted to analyze the data. Descriptive statistics portray that 81.8% of waste pickers are not satisfied with their work environment. Additionally, 66% of solid waste collectors face health issues, and 58% of waste collectors are unaware of the risk of COVID-19. Pearson’s chi-square tests reveal that the health hazards of waste pickers are significantly associated with job type, working hours, Awareness of solid waste effect on health and severe suffering history. Additionally, the binary logistic regression model exposed job type, Awareness of solid waste effect on health, frequently suffered diseases, and severe suffering history has significant (<i>p</i>-value < 0.05) impact on the health hazard of a waste picker of DNCC. Regarding the policy implication, Dhaka North City Corporation must take immediate action that will significantly reduce the hazardous impacts of solid waste collection on the health of the waste collectors by supplying them with adequate protective measures.</p>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"6 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Health hazards implication for household solid waste collectors of north city corporation in Dhaka: a post-COVID study\",\"authors\":\"F. 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Health hazards implication for household solid waste collectors of north city corporation in Dhaka: a post-COVID study
Solid waste management has been one of the challenging tasks for the waste collectors at Dhaka North City corporations, especially during the post-COVID-19 period, since this task exposes several acute and chronic illnesses. The perilous implications of waste collection on the health condition of the waste collectors at the Dhaka North City Corporation (DNCC) have often been ignored, and they have to work without adequate protective measures. Though different research has already been done regarding the occupational health hazards of waste collectors, the novelty of this study is that it considers the post-COVID period and focuses on the solid waste picker of DNCC. This study aimed to evaluate the current health hazards faced by DNCC household waste collectors and suggest remedial actions. A questionnaire-based survey (n = 415) assessed work environment, socio-economic status, and post-COVID-19 health hazard awareness through convenience sampling. Descriptive statistics, Pearson’s chi-square tests, and binary logistic regression were adopted to analyze the data. Descriptive statistics portray that 81.8% of waste pickers are not satisfied with their work environment. Additionally, 66% of solid waste collectors face health issues, and 58% of waste collectors are unaware of the risk of COVID-19. Pearson’s chi-square tests reveal that the health hazards of waste pickers are significantly associated with job type, working hours, Awareness of solid waste effect on health and severe suffering history. Additionally, the binary logistic regression model exposed job type, Awareness of solid waste effect on health, frequently suffered diseases, and severe suffering history has significant (p-value < 0.05) impact on the health hazard of a waste picker of DNCC. Regarding the policy implication, Dhaka North City Corporation must take immediate action that will significantly reduce the hazardous impacts of solid waste collection on the health of the waste collectors by supplying them with adequate protective measures.
期刊介绍:
International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management.
A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made.
The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.