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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2021
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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. |
format | Online Article Text |
id | pubmed-7774537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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