Evidence map›Paper›PMID 38378884›Full record

ArticleNature medicine2024

Clinical surveillance systems obscure the true cholera infection burden in an endemic region.

Sonia T Hegde, Ashraful Islam Khan, Javier Perez-Saez, Ishtiakul Islam Khan, Juan Dent Hulse, Md Taufiqul Islam, Zahid Hasan Khan, Shakeel Ahmed, Taner Bertuna, Mamunur Rashid and 8 more

Erratum issuedAbstract read
In one paragraph

Article in Nature medicine, 2024. 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  11. Article
  12. Microbial genomics · 2025
    Article
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  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Sonia T Hegde *Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA, USA.ORCID 0000-0001-6426-0096
Ashraful Islam Khan *Infectious Disease Division, icddr,b (International Centre for Diarrhoeal Disease Research, Bangladesh), Dhaka, Bangladesh.
Javier Perez-Saez *Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA, USA.
Ishtiakul Islam KhanInfectious Disease Division, icddr,b (International Centre for Diarrhoeal Disease Research, Bangladesh), Dhaka, Bangladesh.
Juan Dent HulseDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA, USA.
Md Taufiqul IslamInfectious Disease Division, icddr,b (International Centre for Diarrhoeal Disease Research, Bangladesh), Dhaka, Bangladesh.ORCID 0000-0003-1584-484X
Zahid Hasan KhanInfectious Disease Division, icddr,b (International Centre for Diarrhoeal Disease Research, Bangladesh), Dhaka, Bangladesh.ORCID 0000-0002-8526-4165
Shakeel AhmedBangladesh Institute of Tropical and Infectious Diseases, Chattogram, Bangladesh.ORCID 0000-0002-3405-2146
Taner BertunaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA, USA.
Mamunur RashidBangladesh Institute of Tropical and Infectious Diseases, Chattogram, Bangladesh.
Rumana RashidBangladesh Institute of Tropical and Infectious Diseases, Chattogram, Bangladesh.
Md Zakir HossainBangladesh Institute of Tropical and Infectious Diseases, Chattogram, Bangladesh.
Tahmina ShirinInstitute of Epidemiology, Disease Control and Research, Dhaka, Bangladesh.
Kirsten E WiensDepartment of Epidemiology, Temple University, Philadelphia, PA, USA.ORCID 0000-0003-4093-4054
Emily S GurleyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA, USA.ORCID 0000-0002-8648-9403
Taufiqur Rahman BhuiyanInfectious Disease Division, icddr,b (International Centre for Diarrhoeal Disease Research, Bangladesh), Dhaka, Bangladesh.
Firdausi Qadri *Infectious Disease Division, icddr,b (International Centre for Diarrhoeal Disease Research, Bangladesh), Dhaka, Bangladesh. fqadri@icddrb.org.ORCID 0000-0002-8928-9888
Andrew S Azman *Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA, USA. azman@jhu.edu.ORCID 0000-0001-8662-9077

Funding

Estimating Cholera Burden with Cross-sectional Immunologic DataR01AI135115 · NIAID · UNIVERSITY OF UTAH · PI LEUNG, DANIEL TED · 2018 to 2022
$3.4M
The role of unobserved cholera: implications for prevention and controlK22AI168389 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI WIENS, KIRSTEN E · 2023 to 2024
$270k
NIAID NIH HHS K22 AI168389NIAID NIH HHS R01 AI135115
6 · The paper itself

Abstract

Our understanding of cholera transmission and burden largely relies on clinic-based surveillance, which can obscure trends, bias burden estimates and limit the impact of targeted cholera-prevention measures. Serological surveillance provides a complementary approach to monitoring infections, although the link between serologically derived infections and medically attended disease incidence-shaped by immunological, behavioral and clinical factors-remains poorly understood. We unravel this cascade in a cholera-endemic Bangladeshi community by integrating clinic-based surveillance, healthcare-seeking and longitudinal serological data through statistical modeling. Combining the serological trajectories with a reconstructed incidence timeline of symptomatic cholera, we estimated an annual Vibrio cholerae O1 infection incidence rate of 535 per 1,000 population (95% credible interval 514-556), with incidence increasing by age group. Clinic-based surveillance alone underestimated the number of infections and reported cases were not consistently correlated with infection timing. Of the infections, 4 in 3,280 resulted in symptoms, only 1 of which was reported through the surveillance system. These results impart insights into cholera transmission dynamics and burden in the epicenter of the seventh cholera pandemic, where >50% of our study population had an annual V. cholerae O1 infection, and emphasize the potential for a biased view of disease burden and infection risk when depending solely on clinical surveillance data.

Indexed as

CholeraVibrio choleraeHumansIncidence

Identifiers

PMID38378884
PMCPMC10957480

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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.