Observational studyPloS one2018
The association between temperature, rainfall and humidity with common climate-sensitive infectious diseases in Bangladesh.
Observational study in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 69 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
69 citing papers in PubMed, 4 syntheses or guidelines pooled it, 167 citations in OpenAlex.
- Epidemiological Characteristics of Dengue Infection in Bangladesh: A Systematic Review.International journal of environmental research and public health · 2026Pooled it
- Understanding climate-sensitive diseases in Bangladesh using systematic review and government data repository.PloS one · 2025Pooled it
- Understanding the Impact of Rainfall on Diarrhea: Testing the Concentration-Dilution Hypothesis Using a Systematic Review and Meta-Analysis.Environmental health perspectives · 2020Pooled it
- Climate and climate-sensitive diseases in semi-arid regions: a systematic review.International journal of public health · 2020Pooled it
- Review
- Age-specific climate sensitivity of respiratory hospitalizations in a tropical coastal city: 20-year Random Forest forecasts.International journal of biometeorology · 2026Article
- Malnutrition trends in displaced Rohingya children from 2017 to 2024: a comprehensive 7-year repeated cross-sectional analysis.BMJ global health · 2026Article
- Human Metapneumovirus: A Neglected Contributor to Acute Respiratory Infections in Bangladesh: A Public Health Perspective.Health science reports · 2026Article
- Spatiotemporal patterns of climate-sensitive vector-borne diseases in Bangladesh: leveraging machine learning and spatial regression for intervention strategies.BMC medicine · 2026Article
- Rainfall and temperature influence effectiveness of on-site sanitation intervention against E. coli contamination in Bangladeshi households.International journal of hygiene and environmental health · 2026Article
- Seasonal and meteorological determinants of district level acute watery diarrhea incidence in Fiji, 2016-2023: a time-series analysis.BMC public health · 2026Article
- Safely managed drinking water service use and child diarrhoea based on evidence from 24 countries.Nature water · 2026Article
- Variability of enteric pathogen infections by season and meteorological conditions in a low-income, urban setting in Mozambique.PLOS global public health · 2026Article
- Association between climatic conditions and infectious diseases: implications for Central Ethiopia region.BMC infectious diseases · 2025Article
- The association between total precipitation and diarrhea morbidity: A multicountry study across diverse climate zones.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Development of two-dimension epidemic prediction model.Infectious Disease Modelling · 2025Article
- Temporal variations and spatial clusters of diarrheal diseases before and during the COVID-19 pandemic in Jakarta province, Indonesia.BMC public health · 2025Article
- Knowledge and beliefs about climate change and emerging infectious diseases in bangladesh: implications for one health approach.Journal of health, population, and nutrition · 2025Article
- Variability of enteric pathogen infections by season and meteorological conditions in a low-income, urban setting in Mozambique.medRxiv : the preprint server for health sciences · 2025Article
- Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 4 institutions in 4 countries.
Funding
Abstract
Bangladesh is one of the world's most vulnerable countries for climate change. This observational study examined the association of temperature, humidity and rainfall with six common climate-sensitive infectious diseases in adults (malaria, diarrheal disease, enteric fever, encephalitis, pneumonia and bacterial meningitis) in northeastern Bangladesh. Subjects admitted to the adult medicine ward of a tertiary referral hospital in Sylhet, Bangladesh from 2008 to 2012 with a diagnosis of one of the six chosen climate-sensitive infectious diseases were enrolled in the study. Climate-related data were collected from the Bangladesh Meteorological Institute. Disease incidence was then analyzed against mean temperature, humidity and average rainfall for the Sylhet region. Statistical significance was determined using Mann-Whitney test, Chi-square test and ANOVA testing. 5033 patients were enrolled (58% male, 42% female, ratio 1.3:1). All six diseases showed highly significant (p = 0.01) rises in incidence between the study years 2008 (540 cases) and 2012 (1330 cases), compared with no significant rise in overall all-cause hospital admissions in the same period (p = 0.19). The highest number of malaria (135), diarrhea (266) and pneumonia (371) cases occurred during the rainy season. On the other hand, the maximum number of enteric fever (408), encephalitis (183) and meningitis (151) cases occurred during autumn, which follows the rainy season. A positive (P = 0.01) correlation was observed between increased temperature and the incidence of malaria, enteric fever and diarrhea, and a negative correlation with encephalitis, meningitis and pneumonia. Higher humidity correlated (P = 0.01) with a higher number of cases of malaria and diarrhea, but inversely correlated with meningitis and encephalitis. Higher incidences of encephalitis and meningitis occurred while there was low rainfall. Incidences of diarrhea, malaria and enteric fever, increased with rainfall, and then gradually decreased. The findings support a relationship between weather patterns and disease incidence, and provide essential baseline data for future large prospective studies.
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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.