Evidence map›Paper›PMID 32497797›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

Comparing insights from clinic-based versus community-based outbreak investigations: a case study of chikungunya in Bangladesh.

Kishor Kumar Paul, Henrik Salje, Muhammad W Rahman, Mahmudur Rahman, Emily S Gurley

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. 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
0.0field-weighted citation impact, top 61% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 4 countries.

Kishor Kumar PaulInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh; The Kirby Institute, University of New South Wales, Sydney, Australia. Electronic address: Kpaul@kirby.unsw.edu.au.
Henrik SaljeMathematical Modeling of Infectious Diseases Unit, Institut Pasteur, Paris, France. Electronic address: hsalje@pasteur.fr.
Muhammad W RahmanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh. Electronic address: mwrahman@icddrb.org.
Mahmudur RahmanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh. Electronic address: rahman.mahmudur@icddrb.org.
Emily S GurleyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. Electronic address: egurley1@jhu.edu.
International Centre for Diarrhoeal Disease Research · BDInstitut Pasteur · FRJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOutbreak investigations typically focus their efforts on identifying cases that present at healthcare facilities. However, these cases rarely represent all cases in the wider community. In this context, community-based investigations may provide additional insight into key risk factors for infection, however, the benefits of these more laborious data collection strategies remains unclear.

methodsWe used different subsets of the data from a comprehensive outbreak investigation to compare the inferences we make in alternative investigation strategies.

resultsThe outbreak investigation team interviewed 1,933 individuals from 460 homes. 364 (18%) of individuals had symptoms consistent with chikungunya. A theoretical clinic-based study would have identified 26% of the cases. Adding in community-based cases provided an overall estimate of the attack rate in the community. Comparison with controls from the same household revealed that those with at least secondary education had a reduced risk. Finally, enrolling residents from households across the community allowed us to characterize spatial heterogeneity of risk and identify the type of clothing usually worn and travel history as risk factors. This also revealed that household-level use of mosquito control was not associated with infection.

conclusionsThese findings highlight that while clinic-based studies may be easier to conduct, they only provide limited insight into the burden and risk factors for disease. Enrolling people who escaped from infection, both in the household and in the community allows a step change in our understanding of the spread of a pathogen and maximizes opportunities for control.

Indexed as

AdolescentAdultAgedAnimalsBangladeshChikungunya FeverChildChild, PreschoolDisease OutbreaksFamily CharacteristicsFemaleHumansIncidenceMaleMiddle AgedResidence CharacteristicsChikungunyaCommunity-Based InvestigationCommunity ControlsHospital-Based InvestigationIncidence of ChikungunyaOutbreak InvestigationRisk Factors of Chikungunya

Identifiers

PMID32497797
PMCPMC7264925
OpenAlexW3033277942

What OpenQuestion holds

Textmetadata
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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.