التفاصيل البيبلوغرافية
| العنوان: |
Understanding climate-sensitive diseases in Bangladesh using systematic review and government data repository. |
| المؤلفون: |
Kabir MI; Climate Change and Health Promotion Unit (CCHPU), Health Services Division, Ministry of Health and Family Welfare (MoHFW), Dhaka, Bangladesh.; Department of Disaster Science and Climate Resilience, University of Dhaka, Dhaka, Bangladesh., Hossain DM; Climate Change and Health Promotion Unit (CCHPU), Health Services Division, Ministry of Health and Family Welfare (MoHFW), Dhaka, Bangladesh., Shawon MTH; Management Information System (MIS), Directorate General of Health Services, Ministry of Health and Family Welfare, Mohakhali, Dhaka, Bangladesh., Khan MMA; Maternal and Child Health Division, icddr,b, Mohakhali, Dhaka, Bangladesh., Islam MS; Climate Change and Health Promotion Unit (CCHPU), Health Services Division, Ministry of Health and Family Welfare (MoHFW), Dhaka, Bangladesh., Hossain AS; Climate Change and Health Promotion Unit (CCHPU), Health Services Division, Ministry of Health and Family Welfare (MoHFW), Dhaka, Bangladesh., Khan MN; Department of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, Bangladesh.; Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Australia. |
| المصدر: |
PloS one [PLoS One] 2025 Mar 19; Vol. 20 (3), pp. e0313031. Date of Electronic Publication: 2025 Mar 19 (Print Publication: 2025). |
| نوع المنشور: |
Journal Article; Systematic Review |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Imprint Name(s): |
Original Publication: San Francisco, CA : Public Library of Science |
| مواضيع طبية MeSH: |
Climate Change*, Bangladesh/epidemiology ; Humans ; Diarrhea/epidemiology ; Government |
| مستخلص: |
Competing Interests: The authors have declared that no competing interests exist.
Background: Understanding the effects of climate change on health outcomes is crucial for effective policy formulation and intervention strategies. However, in Low- and Middle-Income Countries, like Bangladesh, the true extent of these effects remains unexplored due to data scarcity. This study aims to assess available evidence on climate change-related health outcomes in Bangladesh, to compare it with actual national occurrences, and to explore challenges related to climate change and health data.
Methods: We first conducted a systematic review to summarize the climate-sensitive diseases examined in existing literature in Bangladesh. The review results were then compared with over 2.8 million samples from the government's data repository, representing reported cases of climate-sensitive diseases during 2017-2022. This comparison aimed to identify discrepancies between the diseases currently occurring in Bangladesh related to climate change and available knowledge through existing research. Additionally, we also explored the limitations of the data recorded in the government data repository.
Results: The available literature in Bangladesh reports only a few specific climate-sensitive diseases, including Diarrhea, Dengue, Cholera, Malaria, Pneumonia, Cardiovascular Diseases, Hypertension, Urinary-Tract Infections, and Malnutrition, which were also considered in few studies. This represents a segment of the total 510 reported climate-sensitive diseases in Bangladesh, of which 143 diseases were responsible for 90.66% of the total occurrences. The most common forms of diseases were diarrhea and gastroenteritis of presumed infectious (28.51%), pneumonia (18.88%), anxiety disorders, panic disorders, generalized anxiety disorders (13.2%), and others (13.15%). Additionally, Urinary-Tract infections (7.87%), cholera (3.03%), and typhoid fever (3.27%) were other frequently reported climate-sensitive diseases. We also explored several challenges related to available data in the government repository, which include inadequate collection of patients' comprehensive socio-demographic information and the absence of a unique patient identifier.
Conclusion: The findings underscore the urgent need to tackle data challenges in understanding climate-sensitive diseases in Bangladesh. Policies and programs are required to prioritize the digitalization of the healthcare system and implement a unique patient identification number to facilitate accurate tracking and analysis of health data. Climate Change, including rising temperature and extreme weather events like cyclone and floods, poses a significant global health threat [1]. The World Health Organization estimates climate change already causes at least 150,000 deaths annually at the global level, and that number is projected to double by 2030. Beside these other impact of climate change are far-reaching, leading to forced displacement, malnutrition and increased incidence of diseases such as dengue, diarrhea, and pneumonia [2]. Additionally, climate change has established links to mental health issues, like anxiety and depression [3]. The effects are particularly severe in Low- and Middle-Income Countries (LMICs) due to limited resources and inadequate infrastructure for coping with erratic weather and disasters [4]. We undertook a comprehensive mixed-method study, incorporating a systematic review of existing studies conducted in Bangladesh, along with an analysis of government data repository. A detailed description of each component is presented below.
(Copyright: © 2025 Kabir et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
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| Entry Date(s): |
Date Created: 20250319 Date Completed: 20250319 Latest Revision: 20250514 |
| Update Code: |
20250514 |
| PubMed Central ID: |
PMC11922245 |
| DOI: |
10.1371/journal.pone.0313031 |
| PMID: |
40106483 |
| قاعدة البيانات: |
MEDLINE |
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