Evidence map›Paper›PMID 29928056›Full record

Observational studyPloS one2018

The association between temperature, rainfall and humidity with common climate-sensitive infectious diseases in Bangladesh.

Fazle Rabbi Chowdhury, Quazi Shihab Uddin Ibrahim, Md Shafiqul Bari, M M Jahangir Alam, Susanna J Dunachie, Alfonso J Rodriguez-Morales, Md Ismail Patwary

Erratum issuedOpen access · goldAbstract readObservational Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 4 pooled it
9.8field-weighted citation impact, top 1% of its field
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

69 citing papers in PubMed, 4 syntheses or guidelines pooled it, 167 citations in OpenAlex.

  1. Epidemiological Characteristics of Dengue Infection in Bangladesh: A Systematic Review.International journal of environmental research and public health · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 4 countries.

Fazle Rabbi ChowdhuryDepartment of Medicine, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh.
Quazi Shihab Uddin IbrahimDepartment of Medicine, Sylhet M.A.G. Osmani Medical College, Sylhet, Bangladesh.
Md Shafiqul BariDepartment of Medicine, Sylhet M.A.G. Osmani Medical College, Sylhet, Bangladesh.ORCID 0000-0002-3817-5960
M M Jahangir AlamDepartment of Medicine, Sylhet M.A.G. Osmani Medical College, Sylhet, Bangladesh.
Susanna J DunachieCentre for Tropical Medicine and Global Health (CTMGH), University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5665-6293
Alfonso J Rodriguez-MoralesResearch Group and Incubator Public Health and Infection, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia.ORCID 0000-0001-9773-2192
Md Ismail PatwaryDepartment of Medicine, Sylhet M.A.G. Osmani Medical College, Sylhet, Bangladesh.
Sylhet MAG Osmani Medical College · BDBangladesh Medical University · BDTechnological University of Pereira · COUniversity of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

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.

Indexed as

ClimateHumidityRainTemperatureBangladeshCommunicable DiseasesFemaleHumansMaleRetrospective Studies

Identifiers

PMID29928056
PMCPMC6013221
OpenAlexW2809409970

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.