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Potential for large outbreaks of Ebola virus disease.
Camacho, A; Kucharski, A J; Funk, S; Breman, J; Piot, P; Edmunds, W J.
Affiliation
  • Camacho A; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: anton.camacho@lshtm.ac.uk.
  • Kucharski AJ; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: adam.kucharski@lshtm.ac.uk.
  • Funk S; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Breman J; Fogarty International Center, National Institutes of Health, United States.
  • Piot P; London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Edmunds WJ; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Epidemics ; 9: 70-8, 2014 Dec.
Article in En | MEDLINE | ID: mdl-25480136
ABSTRACT
Outbreaks of Ebola virus can cause substantial morbidity and mortality in affected regions. The largest outbreak of Ebola to date is currently underway in West Africa, with 3944 cases reported as of 5th September 2014. To develop a better understanding of Ebola transmission dynamics, we revisited data from the first known Ebola outbreak, which occurred in 1976 in Zaire (now Democratic Republic of Congo). By fitting a mathematical model to time series stratified by disease onset, outcome and source of infection, we were able to estimate several epidemiological quantities that have previously proved challenging to measure, including the contribution of hospital and community infection to transmission. We found evidence that transmission decreased considerably before the closure of the hospital, suggesting that the decline of the outbreak was most likely the result of changes in host behaviour. Our analysis suggests that the person-to-person reproduction number was 1.34 (95% CI 0.92-2.11) in the early part of the outbreak. Using stochastic simulations we demonstrate that the same epidemiological conditions that were present in 1976 could have generated a large outbreak purely by chance. At the same time, the relatively high person-to-person basic reproduction number suggests that Ebola would have been difficult to control through hospital-based infection control measures alone.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Disease Outbreaks / Hemorrhagic Fever, Ebola Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Africa Language: En Journal: Epidemics Year: 2014 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Disease Outbreaks / Hemorrhagic Fever, Ebola Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Africa Language: En Journal: Epidemics Year: 2014 Document type: Article