Evidence map›Paper›PMID 40106483›Full record

SynthesisPloS one2025

Understanding climate-sensitive diseases in Bangladesh using systematic review and government data repository.

Md Iqbal Kabir, Dewan Mashrur Hossain, Md Toufiq Hassan Shawon, Md Mostaured Ali Khan, Md Saiful Islam, As Saba Hossain, Md Nuruzzaman Khan

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Md Iqbal KabirClimate Change and Health Promotion Unit (CCHPU), Health Services Division, Ministry of Health and Family Welfare (MoHFW), Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-3709-8350
Dewan Mashrur HossainClimate Change and Health Promotion Unit (CCHPU), Health Services Division, Ministry of Health and Family Welfare (MoHFW), Dhaka, Bangladesh.
Md Toufiq Hassan ShawonManagement Information System (MIS), Directorate General of Health Services, Ministry of Health and Family Welfare, Mohakhali, Dhaka, Bangladesh.
Md Mostaured Ali KhanMaternal and Child Health Division, icddr,b, Mohakhali, Dhaka, Bangladesh.
Md Saiful IslamClimate Change and Health Promotion Unit (CCHPU), Health Services Division, Ministry of Health and Family Welfare (MoHFW), Dhaka, Bangladesh.ORCID https://orcid.org/0009-0004-7600-5323
As Saba HossainClimate Change and Health Promotion Unit (CCHPU), Health Services Division, Ministry of Health and Family Welfare (MoHFW), Dhaka, Bangladesh.
Md Nuruzzaman KhanDepartment of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-4550-4363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding 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.

methodsWe 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Climate ChangeBangladeshDiarrheaGovernmentHumans

Identifiers

PMID40106483
PMCPMC11922245

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.