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Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti

Centre Department, Haiti, was the origin of a major cholera epidemic during 2010–2019. Although no fine-scale spatial delineation is officially available, we aimed to analyze determinants of cholera at the local level and identify priority localities in need of interventions. After estimating the li...

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Autores principales: Griffiths, Karolina, Moise, Kenny, Piarroux, Martine, Gaudart, Jean, Beaulieu, Samuel, Bulit, Greg, Marseille, Jean-Petit, Jasmin, Paul Menahel, Namphy, Paul Christian, Henrys, Jean-Hugues, Piarroux, Renaud, Rebaudet, Stanislas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774537/
https://www.ncbi.nlm.nih.gov/pubmed/33350917
http://dx.doi.org/10.3201/eid2701.191787
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author Griffiths, Karolina
Moise, Kenny
Piarroux, Martine
Gaudart, Jean
Beaulieu, Samuel
Bulit, Greg
Marseille, Jean-Petit
Jasmin, Paul Menahel
Namphy, Paul Christian
Henrys, Jean-Hugues
Piarroux, Renaud
Rebaudet, Stanislas
author_facet Griffiths, Karolina
Moise, Kenny
Piarroux, Martine
Gaudart, Jean
Beaulieu, Samuel
Bulit, Greg
Marseille, Jean-Petit
Jasmin, Paul Menahel
Namphy, Paul Christian
Henrys, Jean-Hugues
Piarroux, Renaud
Rebaudet, Stanislas
author_sort Griffiths, Karolina
collection PubMed
description Centre Department, Haiti, was the origin of a major cholera epidemic during 2010–2019. Although no fine-scale spatial delineation is officially available, we aimed to analyze determinants of cholera at the local level and identify priority localities in need of interventions. After estimating the likely boundaries of 1,730 localities by using Voronoi polygons, we mapped 5,322 suspected cholera cases reported during January 2015–September 2016 by locality alongside environmental and socioeconomic variables. A hierarchical clustering on principal components highlighted 2 classes with high cholera risk: localities close to rivers and unimproved water sources (standardized incidence ratio 1.71, 95% CI 1.02–2.87; p = 0.04) and urban localities with markets (standardized incidence ratio 1.69, 95% CI 1.25–2.29; p = 0.0006). Our analyses helped identify and characterize areas where efforts should be focused to reduce vulnerability to cholera and other waterborne diseases; these methods could be used in other contexts.
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spelling pubmed-77745372021-01-01 Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti Griffiths, Karolina Moise, Kenny Piarroux, Martine Gaudart, Jean Beaulieu, Samuel Bulit, Greg Marseille, Jean-Petit Jasmin, Paul Menahel Namphy, Paul Christian Henrys, Jean-Hugues Piarroux, Renaud Rebaudet, Stanislas Emerg Infect Dis Research Centre Department, Haiti, was the origin of a major cholera epidemic during 2010–2019. Although no fine-scale spatial delineation is officially available, we aimed to analyze determinants of cholera at the local level and identify priority localities in need of interventions. After estimating the likely boundaries of 1,730 localities by using Voronoi polygons, we mapped 5,322 suspected cholera cases reported during January 2015–September 2016 by locality alongside environmental and socioeconomic variables. A hierarchical clustering on principal components highlighted 2 classes with high cholera risk: localities close to rivers and unimproved water sources (standardized incidence ratio 1.71, 95% CI 1.02–2.87; p = 0.04) and urban localities with markets (standardized incidence ratio 1.69, 95% CI 1.25–2.29; p = 0.0006). Our analyses helped identify and characterize areas where efforts should be focused to reduce vulnerability to cholera and other waterborne diseases; these methods could be used in other contexts. Centers for Disease Control and Prevention 2021-01 /pmc/articles/PMC7774537/ /pubmed/33350917 http://dx.doi.org/10.3201/eid2701.191787 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Griffiths, Karolina
Moise, Kenny
Piarroux, Martine
Gaudart, Jean
Beaulieu, Samuel
Bulit, Greg
Marseille, Jean-Petit
Jasmin, Paul Menahel
Namphy, Paul Christian
Henrys, Jean-Hugues
Piarroux, Renaud
Rebaudet, Stanislas
Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti
title Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti
title_full Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti
title_fullStr Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti
title_full_unstemmed Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti
title_short Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti
title_sort delineating and analyzing locality-level determinants of cholera, haiti
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774537/
https://www.ncbi.nlm.nih.gov/pubmed/33350917
http://dx.doi.org/10.3201/eid2701.191787
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