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Dynamic mapping of cholera outbreak during the Yemeni Civil War, 2016-2019.
Simpson, Ryan B; Babool, Sofia; Tarnas, Maia C; Kaminski, Paulina M; Hartwick, Meghan A; Naumova, Elena N.
Afiliação
  • Simpson RB; Nutrition Epidemiology and Data Science Division, Tufts University Friedman School of Nutrition Science and Policy, 150 Harrison Avenue, Boston, MA, 02111, USA.
  • Babool S; Neuroscience Department, The University of Texas at Dallas, Richardson, TX, USA.
  • Tarnas MC; Community Health Department, Tufts University School of Arts and Sciences, Medford, MA, USA.
  • Kaminski PM; Nutrition Epidemiology and Data Science Division, Tufts University Friedman School of Nutrition Science and Policy, 150 Harrison Avenue, Boston, MA, 02111, USA.
  • Hartwick MA; Nutrition Epidemiology and Data Science Division, Tufts University Friedman School of Nutrition Science and Policy, 150 Harrison Avenue, Boston, MA, 02111, USA.
  • Naumova EN; Nutrition Epidemiology and Data Science Division, Tufts University Friedman School of Nutrition Science and Policy, 150 Harrison Avenue, Boston, MA, 02111, USA. elena.naumova@tufts.edu.
J Public Health Policy ; 43(2): 185-202, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35614203
ABSTRACT
Widespread destruction from the Yemeni Civil War (2014-present) triggered the world's largest cholera outbreak. We compiled a comprehensive health dataset and created dynamic maps to demonstrate spatiotemporal changes in cholera infections and war conflicts. We aligned and merged daily, weekly, and monthly epidemiological bulletins of confirmed cholera infections and daily conflict events and fatality records to create a dataset of weekly time series for Yemen at the governorate level (subnational regions administered by governors) from 4 January 2016 through 29 December 2019. We demonstrated the use of dynamic mapping for tracing the onset and spread of infection and manmade factors that amplify the outbreak. We report curated data and visualization techniques to further uncover associations between infectious disease outbreaks and risk factors and to better coordinate humanitarian aid and relief efforts during complex emergencies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cólera Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: J Public Health Policy Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cólera Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: J Public Health Policy Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos