Evidence map›Paper›PMID 39226336›Full record

ArticlePLoS neglected tropical diseases2024

Analysis of Cholera Risk in India: Insights from 2017-18 Serosurvey Data Integrated with Epidemiologic data and Societal Determinants from 2015-2019.

Suman Kanungo, Ranjan Kumar Nandy, Rounik Talukdar, Manoj Murhekar, Andrew S Azman, Sonia T Hegde, Pranab Chatterjee, Debjit Chakraborty, Madhuchhanda Das, P Kamaraj and 3 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Recent epidemiological and management approaches for cholera in India.Proceedings (Baylor University. Medical Center) · 2026
    Review
  4. 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

13 authors.

Suman KanungoIndian Council of Medical Research-National Institute of Cholera and Enteric Diseases, Kolkata, India.
Ranjan Kumar NandyIndian Council of Medical Research-National Institute of Cholera and Enteric Diseases, Kolkata, India.
Rounik TalukdarIndian Council of Medical Research-National Institute of Cholera and Enteric Diseases, Kolkata, India.
Manoj MurhekarIndian Council of Medical Research-National Institute of Epidemiology, Chennai, India.
Andrew S AzmanJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Sonia T HegdeJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Pranab ChatterjeeIndian Council of Medical Research-National Institute of Cholera and Enteric Diseases, Kolkata, India.
Debjit ChakrabortyIndian Council of Medical Research-National Institute of Cholera and Enteric Diseases, Kolkata, India.
Madhuchhanda DasIndian Council of Medical Research, New Delhi, India.
P KamarajIndian Council of Medical Research-National Institute of Epidemiology, Chennai, India.
Muthusamy Santhosh KumarIndian Council of Medical Research-National Institute of Epidemiology, Chennai, India.
Dengue Serosurvey Group
Shanta DuttaIndian Council of Medical Research-National Institute of Cholera and Enteric Diseases, Kolkata, India.ORCID https://orcid.org/0000-0002-6897-7390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndian subcontinent being an important region in the fight to eliminate cholera needs better cholera surveillance. Current methods miss most infections, skewing disease burden estimates. Triangulating serosurvey data, clinical cases, and risk factors could reveal India's true cholera risk.

methodsWe synthesized data from a nationally representative serosurvey, outbreak reports and risk factors like water, sanitation and the Multidimensional Poverty Index, to create a composite vulnerability index for assessing state-wise cholera risk in India. We tested 7,882 stored sera samples collected during 2017-18 from individuals aged 9-45 years, for vibriocidal antibodies to Vibrio cholerae O1 using a cut-off titre ≥320 defining as elevated titre. We also extracted data from the 2015-19 Integrated Disease Surveillance Programme and published cholera reports.

resultsOverall, 11.7% (CI: 10.4-13.3%) of the sampled population had an elevated titre of cholera vibriocidal antibodies (≥320). The Southern region experienced the highest incidence (16.8%, CI: 12.1-22.8), followed by the West (13.2%, CI: 10.0-17.3) and North (10.7%, CI: 9.3-12.3). Proportion of samples with an elevated vibriocidal titre (≥320) was significantly higher among individuals aged 18-45 years (13.0% CI: 11.2-15.1) compared to children 9-17 years (8.6%, CI 7.3-10.0, p<0.05); we found no differences between sex or urbanicity. Between 2015-2019, the Integrated Disease Surveillance Program (IDSP) reported 29,400 cases of cholera across the country. Using the composite vulnerability index, we found Karnataka, Madhya Pradesh, and West Bengal were the most vulnerable states in India in terms of risk of cholera.

conclusionThe present study showed that cholera infection is present in all five regions across India. The states with high cholera vulnerability could be prioritized for targeted prevention interventions.

Indexed as

CholeraAdolescentAdultAntibodies, BacterialChildDisease OutbreaksFemaleHumansIncidenceIndiaMaleMiddle AgedRisk FactorsSanitationSeroepidemiologic StudiesVibrio cholerae O1Antibodies, Bacterial

Identifiers

PMID39226336
PMCPMC11398695

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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.