Evidence map›Paper›PMID 39420436›Full record

ArticleConflict and health2024

Low cost and real-time surveillance of enteric infection and diarrhoeal disease using rapid diagnostic tests in Cox's Bazar, Bangladesh.

Samuel I Watson, Mohammed Atique Ul Alam, Ryan T T Rego, Richard J Lilford, Ashok Kumar Barman, Baharul Alam, A S G Faruque, Md Sirajul Islam

Abstract read
In one paragraph

Article in Conflict and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Samuel I WatsonInstitute of Applied Health Research, University of Birmingham, Birmingham, UK. s.i.watson@bham.ac.uk.
Mohammed Atique Ul AlamInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Ryan T T RegoUniversity of Michigan, Ann Arbor, MI, USA.
Richard J LilfordInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Ashok Kumar BarmanInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Baharul AlamInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
A S G FaruqueInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Md Sirajul IslamInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.

Funding

Medical Research Council MR/V038591/1NIHR ARC West Midlands
6 · The paper itself

Abstract

backgroundReal-time disease surveillance is an important component of infection control in at-risk populations. However, data on cases or from lab testing is often not available in many low-resource settings. Rapid diagnostic tests (RDT), including immunochromatographic assays, may provide a low cost, expedited source of infection data.

methodsWe conducted a pilot survey-based prevalence mapping study of enteric infection in Camp 24 of the camps for the forcibly displaced Rohingya population from Myanmar in Cox's Bazar, Bangladesh. We randomly sampled the population and collected and tested stool from under-fives for eight pathogens using RDTs in January-March 2021 and September-October 2021. A Bayesian geospatial statistical model allowing for imperfect sensitivity and specificity of the tests was adapted.

resultsWe collected and tested 396 and 181 stools in the two data collection rounds. Corrected prevalence estimates ranged from 0.5% (Norovirus) to 27.4% (Giardia). Prevalence of Escherichia coli O157, Campylobacter, and Cryptosporidium were predicted to be higher in the high density area of the camp with relatively high probability (70-95%), while Adenovirus, Norovirus, and Rotavirus were lower in the areas with high water chlorination. Clustering of cases of Giardia and Shigella was also observed, although associated with relatively high uncertainty.

conclusionsWith an appropriate correction for diagnostic performance RDTs can be used to generate reliable prevalence estimates, maps, and well-calibrated uncertainty estimates at a significantly lower cost than lab-based studies, providing a useful approach for disease surveillance in these settings.

Indexed as

Diarrhoeal diseaseDisease surveillanceGeospatial statisticsRapid diagnostic tests

Identifiers

PMID39420436
PMCPMC11488233

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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.