Your browser doesn't support javascript.
loading
Characterizing risk of Ebola transmission based on frequency and type of case-contact exposures.
Skrip, Laura A; Fallah, Mosoka P; Gaffney, Stephen G; Yaari, Rami; Yamin, Dan; Huppert, Amit; Bawo, Luke; Nyenswah, Tolbert; Galvani, Alison P.
Afiliação
  • Skrip LA; Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06510, USA laura.skrip@yale.edu.
  • Fallah MP; Ministry of Health, Congo Town, Tubman Blvd, Monrovia, Liberia.
  • Gaffney SG; A.M. Dogliotti College of Medicine, University of Liberia, Tubman Blvd, Monrovia, Liberia.
  • Yaari R; National Institute of Allergy and Infectious Diseases, PREVAIL-III Study, JFK Hospital, Tubman Blvd, Monrovia, Liberia.
  • Yamin D; Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA.
  • Huppert A; Biostatistics Unit, The Gertner Institute for Epidemiology and Health Policy Research, Ramat Gan 52621, Israel.
  • Bawo L; Department of Industrial Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Nyenswah T; Biostatistics Unit, The Gertner Institute for Epidemiology and Health Policy Research, Ramat Gan 52621, Israel.
  • Galvani AP; Department of Epidemiology and Preventive Medicine, The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
Philos Trans R Soc Lond B Biol Sci ; 372(1721)2017 May 26.
Article em En | MEDLINE | ID: mdl-28396472
ABSTRACT
During the initial months of the 2013-2016 Ebola epidemic, rapid geographical dissemination and intense transmission challenged response efforts across West Africa. Contextual behaviours associated with increased risk of exposure included travel to high-transmission settings, caring for sick and preparing the deceased for traditional funerals. Although such behaviours are widespread in West Africa, high-transmission pockets were observed. Superspreading and clustering are typical phenomena in infectious disease outbreaks, as a relatively small number of transmission chains are often responsible for the majority of events. Determining the characteristics of contacts at greatest risk of developing disease and of cases with greatest transmission potential could therefore help curb propagation of infection. Our analysis of contact tracing data from Montserrado County, Liberia, suggested that the probability of transmission was 4.5 times higher for individuals who were reported as having contact with multiple cases. The probability of individuals developing disease was not significantly associated with age or sex of their source case but was higher when they were in the same household as the infectious case. Surveillance efforts for rapidly identifying symptomatic individuals and effectively messaged campaigns encouraging household members to bring the sick to designated treatment centres without administration of home care could mitigate transmission.This article is part of the themed issue 'The 2013-2016 West African Ebola epidemic data, decision-making and disease control'.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_enfermedades_transmissibles Assunto principal: Busca de Comunicante / Doença pelo Vírus Ebola Tipo de estudo: Etiology_studies / Prognostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Philos Trans R Soc Lond B Biol Sci Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_enfermedades_transmissibles Assunto principal: Busca de Comunicante / Doença pelo Vírus Ebola Tipo de estudo: Etiology_studies / Prognostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Philos Trans R Soc Lond B Biol Sci Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
...