Evidence map›Paper›PMID 37660078›Full record

ArticleBMC infectious diseases2023

Seasonality of cholera in Kolkata and the influence of climate.

Debbie Shackleton, Theo Economou, Fayyaz Ali Memon, Albert Chen, Shanta Dutta, Suman Kanungo, Alok Deb

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 2 institutions in 3 countries.

Debbie ShackletonCollege of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK. dmshackleton@gmail.com.
Theo EconomouDepartment of Mathematics, University of Exeter, Exeter, UK.
Fayyaz Ali MemonCollege of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.
Albert ChenCollege of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.
Shanta DuttaNational Institute of Cholera and Enteric Diseases, Kolkata, India.
Suman KanungoNational Institute of Cholera and Enteric Diseases, Kolkata, India.
Alok DebNational Institute of Cholera and Enteric Diseases, Kolkata, India.
University of Exeter · GBNational Institute of Cholera and Enteric Diseases · IN

Funding

Engineering and Physical Sciences Research Council EP/L016214/1
6 · The paper itself

Abstract

backgroundCholera in Kolkata remains endemic and the Indian city is burdened with a high number of annual cases. Climate change is widely considered to exacerbate cholera, however the precise relationship between climate and cholera is highly heterogeneous in space and considerable variation can be observed even within the Indian subcontinent. To date, relatively few studies have been conducted regarding the influence of climate on cholera in Kolkata.

methodsWe considered 21 years of confirmed cholera cases from the Infectious Disease Hospital in Kolkata during the period of 1999-2019. We used Generalised Additive Modelling (GAM) to extract the non-linear relationship between cholera and different climatic factors; temperature, rainfall and sea surface temperature (SST). Peak associated lag times were identified using cross-correlation lag analysis.

resultsOur findings revealed a bi-annual pattern of cholera cases with two peaks coinciding with the increase in temperature in summer and the onset of monsoon rains. Variables selected as explanatory variables in the GAM model were temperature and rainfall. Temperature was the only significant factor associated with summer cholera (mean temperature of 30.3 °C associated with RR of 3.8) while rainfall was found to be the main driver of monsoon cholera (550 mm total monthly rainfall associated with RR of 3.38). Lag time analysis revealed that the association between temperature and cholera cases in the summer had a longer peak lag time compared to that between rainfall and cholera during the monsoon. We propose several mechanisms by which these relationships are mediated.

conclusionsKolkata exhibits a dual-peak phenomenon with independent mediating factors. We suggest that the summer peak is due to increased bacterial concentration in urban water bodies, while the monsoon peak is driven by contaminated flood waters. Our results underscore the potential utility of preventative strategies tailored to these seasonal and climatic patterns, including efforts to reduce direct contact with urban water bodies in summer and to protect residents from flood waters during monsoon.

Indexed as

CholeraClimateClimate ChangeFloodsHumansIndiaSeasonsSouth Asian PeopleWaterWaterCholeraClimateCross-correlation lag analysisGeneralized additive modellingIndia

Identifiers

PMID37660078
PMCPMC10474634
OpenAlexW4386391935

What OpenQuestion holds

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LicenceCC BY
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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.