Evidence map›Paper›PMID 29757428›Full record

ArticleThe Journal of infectious diseases2018

Micro-Hotspots of Risk in Urban Cholera Epidemics.

Andrew S Azman, Francisco J Luquero, Henrik Salje, Nathan Naibei Mbaïbardoum, Ngandwe Adalbert, Mohammad Ali, Enrico Bertuzzo, Flavio Finger, Brahima Toure, Louis Albert Massing and 7 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
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  14. Implementation of targeted cholera response activities, Cameroon.Bulletin of the World Health Organization · 2023
    Article
  15. Article
  16. Article
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  18. Article
  19. Hepatitis E in Bangladesh: Insights From a National Serosurvey.The Journal of infectious diseases · 2021
    Article
  20. 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

17 authors at 7 institutions in 5 countries.

Andrew S AzmanDepartments of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Francisco J LuqueroDepartments of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Henrik SaljeInstitut Pasteur, Paris, France.
Nathan Naibei MbaïbardoumEpicentre, Paris, France.
Ngandwe AdalbertMinistry of Health, Kalemie, Democratic Republic of the Congo.
Mohammad AliDepartments of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Enrico BertuzzoDepartment of Environmental Science, Informatics and Statistics, Università Ca' Foscari Venezia, Venice, Italy.
Flavio FingerCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, United Kingom.
Brahima ToureEpicentre, Paris, France.
Louis Albert MassingMédecins sans Frontières (France), Kinshasa, The Democratic Republic of the Congo.
Romain RamazaniMédecins sans Frontières (France), Kalemie, The Democratic Republic of the Congo.
Bansaga SagaSolidarités International, Paris, France.
Maya AllanEpicentre, Paris, France.
David OlsonMédecins sans Frontières, Paris, France.
Jerome LegliseMédecins sans Frontières, Paris, France.
Klaudia PortenEpicentre, Paris, France.
Justin LesslerDepartments of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins University · USMédecins Sans Frontières · FRCa' Foscari University of Venice · ITInstitut Pasteur · FRLondon School of Hygiene & Tropical Medicine · GBMinistère des Solidarités et de la Santé · FRMinistry of Public Health · CD

Funding

Methods for Reducing Spatial Uncertainty and Bias in Disease SurveillanceR01AI102939 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LESSLER, JUSTIN · 2013 to 2017
$4.6M
NIAID NIH HHS R01 AI102939
6 · The paper itself

Abstract

Targeted interventions have been delivered to neighbors of cholera cases in major epidemic responses globally despite limited evidence for the impact of such targeting. Using data from urban epidemics in Chad and Democratic Republic of the Congo, we estimate the extent of spatiotemporal zones of increased cholera risk around cases. In both cities, we found zones of increased risk of at least 200 meters during the 5 days immediately after case presentation to a clinic. Risk was highest for those living closest to cases and diminished in time and space similarly across settings. These results provide a rational basis for rapidly delivering targeting interventions.

Indexed as

Disease OutbreaksEpidemicsChadCholeraDemocratic Republic of the CongoHumansModels, StatisticalRiskUrban PopulationVibrio cholerae

Identifiers

PMID29757428
PMCPMC6107744
OpenAlexW2793572466

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.