Evidence map›Paper›PMID 26488620›Full record

ArticlePLoS neglected tropical diseases2015

Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic.

Alexander Kirpich, Thomas A Weppelmann, Yang Yang, Afsar Ali, J Glenn Morris, Ira M Longini

Erratum issuedAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2015. 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 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Antimicrobial Resistance of EnvironmentalInfectious disorders drug targets · 2025
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  12. ToxigenicProceedings of the National Academy of Sciences of the United States of America · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alexander KirpichDepartment of Biostatistics, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, United States of America; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Thomas A WeppelmannEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America.
Yang YangDepartment of Biostatistics, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, United States of America; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Afsar AliEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America.
J Glenn MorrisEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America; Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, United States of America.
Ira M LonginiDepartment of Biostatistics, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, United States of America; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPMAN, JAMES STEPHEN · 2014 to 2018
$12.5M
Cholera Transmission in Gressier Region, HaitiR01AI097405 · NIAID · UNIVERSITY OF FLORIDA · PI MORRIS, JOHN GLENN · 2012 to 2015
$2.7M
NIAID NIH HHS R01 AI097405NIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

In the current study, a comprehensive, data driven, mathematical model for cholera transmission in Haiti is presented. Along with the inclusion of short cycle human-to-human transmission and long cycle human-to-environment and environment-to-human transmission, this novel dynamic model incorporates both the reported cholera incidence and remote sensing data from the Ouest Department of Haiti between 2010 to 2014. The model has separate compartments for infectious individuals that include different levels of infectivity to reflect the distribution of symptomatic and asymptomatic cases in the population. The environmental compartment, which serves as a source of exposure to toxigenic V. cholerae, is also modeled separately based on the biology of causative bacterium, the shedding of V. cholerae O1 by humans into the environment, as well as the effects of precipitation and water temperature on the concentration and survival of V. cholerae in aquatic reservoirs. Although the number of reported cholera cases has declined compared to the initial outbreak in 2010, the increase in the number of susceptible population members and the presence of toxigenic V. cholerae in the environment estimated by the model indicate that without further improvements to drinking water and sanitation infrastructures, intermittent cholera outbreaks are likely to continue in Haiti.

Indexed as

EpidemicsCholeraDisease Transmission, InfectiousDrinking WaterEnvironmental ExposureHaitiHumansModels, TheoreticalVibrio choleraeDrinking Water

Identifiers

PMID26488620
PMCPMC4619523

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Registered trials

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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.