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Unreported cases in the 2014-2016 Ebola epidemic: Spatiotemporal variation, and implications for estimating transmission.
Dalziel, Benjamin D; Lau, Max S Y; Tiffany, Amanda; McClelland, Amanda; Zelner, Jon; Bliss, Jessica R; Grenfell, Bryan T.
Afiliação
  • Dalziel BD; Department of Integrative Biology, Oregon State University, Corvallis, Oregon, United States of America.
  • Lau MSY; Department of Mathematics, Oregon State University, Corvallis, Oregon, United States of America.
  • Tiffany A; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
  • McClelland A; Epidemiology and Population Health, Epicentre, Geneva, Switzerland.
  • Zelner J; Emergency Health, International Federation of Red Cross and Red Crescent Societies, Geneva, Switzerland.
  • Bliss JR; Department of Epidemiology and Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor Michigan, United States of America.
  • Grenfell BT; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
PLoS Negl Trop Dis ; 12(1): e0006161, 2018 01.
Article em En | MEDLINE | ID: mdl-29357363
ABSTRACT
In the recent 2014-2016 Ebola epidemic in West Africa, non-hospitalized cases were an important component of the chain of transmission. However, non-hospitalized cases are at increased risk of going unreported because of barriers to access to healthcare. Furthermore, underreporting rates may fluctuate over space and time, biasing estimates of disease transmission rates, which are important for understanding spread and planning control measures. We performed a retrospective analysis on community deaths during the recent Ebola epidemic in Sierra Leone to estimate the number of unreported non-hospitalized cases, and to quantify how Ebola reporting rates varied across locations and over time. We then tested if variation in reporting rates affected the estimates of disease transmission rates that were used in surveillance and response. We found significant variation in reporting rates among districts, and district-specific rates of increase in reporting over time. Correcting time series of numbers of cases for variable reporting rates led, in some instances, to different estimates of the time-varying reproduction number of the epidemic, particularly outside the capital. Future analyses that compare Ebola transmission rates over time and across locations may be improved by considering the impacts of differential reporting rates.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Notificação de Doenças / Doença pelo Vírus Ebola / Epidemias Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans País como assunto: Africa Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Notificação de Doenças / Doença pelo Vírus Ebola / Epidemias Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans País como assunto: Africa Idioma: En Ano de publicação: 2018 Tipo de documento: Article