Delineating and Analyzing Locality-Level Determinants of Cholera, Haiti
Autor: | Martine Piarroux, Samuel Beaulieu, Paul Christian Namphy, Renaud Piarroux, Kenny Moise, Stanislas Rebaudet, Paul Menahel Jasmin, Jean-Petit Marseille, Karolina Griffiths, Greg Bulit, Jean-Hugues Henrys, Jean Gaudart |
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Přispěvatelé: | Aix Marseille Université (AMU), Université Quisqueya, Faculté des Sciences, de Génie et d'Architecture (FSGA), Centre d'épidémiologie et de santé publique des armées [Marseille] (CESPA), Service de Santé des Armées, UNICEF [Kinshasa, Congo], UNICEF [New York, NY, USA], Direction Nationale de l’Eau Potable et de l’Assainissement [Hinche, Haiti] (DNEPA), Ministère de la Santé Publique et de la Population [Port‑au‑Prince, Haiti], Sorbonne Université (SU), Malbec, Odile |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Microbiology (medical)
medicine.medical_specialty communicable disease prevention and control spatial analysis [SDV]Life Sciences [q-bio] 030231 tropical medicine Vulnerability lcsh:Medicine cholera lcsh:Infectious and parasitic diseases 03 medical and health sciences 0302 clinical medicine Environmental health Epidemiology medicine risk factors Cluster Analysis Humans lcsh:RC109-216 030212 general & internal medicine Delineating and Analyzing Locality-Level Determinants of Cholera Haiti waterborne infections bacteria Epidemics Socioeconomic status Incidence (epidemiology) Research enteric infections Incidence Locality lcsh:R 1. No poverty Vibrio cholerae O1 Waterborne diseases foodborne infections medicine.disease Cholera Haiti 3. Good health [SDV] Life Sciences [q-bio] Infectious Diseases Geography Standardized mortality ratio epidemiology |
Zdroj: | Emerging Infectious Diseases Emerging Infectious Diseases, Centers for Disease Control and Prevention, 2021, 27 (1), pp.170-181. ⟨10.3201/eid2701.191787⟩ Emerging Infectious Diseases, Vol 27, Iss 1, Pp 170-181 (2021) |
ISSN: | 1080-6059 1080-6040 |
Popis: | International audience; 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. |
Databáze: | OpenAIRE |
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