Evidence map›Paper›PMID 34453539›Full record

ArticleThe Journal of infectious diseases2021

Clinical Cholera Surveillance Sensitivity in Bangladesh and Implications for Large-Scale Disease Control.

Sonia T Hegde, Elizabeth C Lee, Ashraful Islam Khan, Stephen A Lauer, Md Taufiqul Islam, Taufiqur Rahman Bhuiyan, Justin Lessler, Andrew S Azman, Firdausi Qadri, Emily S Gurley

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

10 authors.

Sonia T HegdeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-6426-0096
Elizabeth C LeeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Ashraful Islam KhanInfectious Disease Division, icddr,b, Dhaka, Bangladesh.
Stephen A LauerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Md Taufiqul IslamInfectious Disease Division, icddr,b, Dhaka, Bangladesh.
Taufiqur Rahman BhuiyanInfectious Disease Division, icddr,b, Dhaka, Bangladesh.
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Andrew S AzmanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Firdausi QadriInfectious Disease Division, icddr,b, Dhaka, Bangladesh.
Emily S GurleyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

Estimating Cholera Burden with Cross-sectional Immunologic DataR01AI135115 · NIAID · UNIVERSITY OF UTAH · PI LEUNG, DANIEL TED · 2018 to 2022
$3.4M
ACL HHS U01GH001207NIAID NIH HHS R01 AI135115
6 · The paper itself

Abstract

backgroundA surveillance system that is sensitive to detecting high burden areas is critical for achieving widespread disease control. In 2014, Bangladesh established a nationwide, facility-based cholera surveillance system for Vibrio cholerae infection. We sought to measure the sensitivity of this surveillance system to detect cases to assess whether cholera elimination targets outlined by the Bangladesh national control plan can be adequately measured.

methodsWe overlaid maps of nationally representative annual V cholerae seroincidence onto maps of the catchment areas of facilities where confirmatory laboratory testing for cholera was conducted, and we identified its spatial complement as surveillance greyspots, areas where cases likely occur but go undetected. We assessed surveillance system sensitivity and changes to sensitivity given alternate surveillance site selection strategies.

resultsWe estimated that 69% of Bangladeshis (111.7 million individuals) live in surveillance greyspots and that 23% (25.5 million) of these individuals live in areas with the highest V cholerae infection rates.

conclusionsThe cholera surveillance system in Bangladesh has the ability to monitor progress towards cholera elimination goals among 31% of the country's population, which may be insufficient for accurately measuring progress. Increasing surveillance coverage, particularly in the highest risk areas, should be considered.

Indexed as

Vibrio choleraeBangladeshCholeraCommunicable Disease ControlHumansPublic Health SurveillanceBangladeshcholeradisease controleliminationsurveillance

Identifiers

PMID34453539
PMCPMC8687068

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LicenceCC BY
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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.