4.7 Article

Characterizing Ebola Transmission Patterns Based on Internet News Reports

Journal

CLINICAL INFECTIOUS DISEASES
Volume 62, Issue 1, Pages 24-31

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cid/civ748

Keywords

Ebola; transmission patterns; West Africa; hospital transmission; funeral transmission

Funding

  1. Division of International Epidemiology and Population Studies
  2. Fogarty International Center, US National Institutes of Health (NIH) - Office of Pandemics and Emerging Threats at the US Department of Health and Human Services
  3. National Science Foundation (NSF) as part of the joint NSF-NIH-US Department of Agriculture Ecology and Evolution of Infectious Diseases Program [1414374]
  4. United Kingdom Biotechnology and Biological Sciences Research Council [BB/M008894/1]
  5. United Kingdom Biotechnology and Biological Sciences Research Council (RAPIDD NFS grant) [1518939]
  6. United Kingdom Biotechnology and Biological Sciences Research Council (NSF) [1518529]
  7. United Kingdom Biotechnology and Biological Sciences Research Council (NSF-Division of Information & Intelligent Systems grant) [1518939]
  8. Research and Policy for Infectious Disease Dynamics Program of the US Department of Homeland Security
  9. Lundbeck Foundation, Denmark
  10. Biotechnology and Biological Sciences Research Council [BB/M008894/1] Funding Source: researchfish
  11. BBSRC [BB/M008894/1] Funding Source: UKRI

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Background. Detailed information on patient exposure, contact patterns, and discharge status is rarely available in real time from traditional surveillance systems in the context of an emerging infectious disease outbreak. Here, we validate the systematic collection of Internet news reports to characterize epidemiological patterns of Ebola virus disease (EVD) infections during the West African 2014-2015 outbreak. Methods. Based on 58 news reports, we analyzed 79 EVD clusters (286 cases) ranging in size from 1 to 33 cases between January 2014 and February 2015 in Guinea, Sierra Leone, and Liberia. Results. The majority of reported exposures stemmed from contact with family members (57.3%) followed by hospitals (18.2%) and funerals (12.7%). Our data indicate that funeral exposure was significantly more frequent in Sierra Leone (27.3%) followed by Guinea (18.2%) and Liberia (1.8%; chi(2) test; P < .0001). Funeral exposure was the dominant route of transmission until April 2014 (60%) and was replaced with hospital exposure in June 2014-July 2014 (70%), both of which declined after interventions were put in place. The mean reproduction number of the outbreak was 2.3 (95% confidence interval [CI], 1.8, 2.7). The case fatality rate was estimated at 74.4% (95% CI, 68.3, 79.8). Conclusions. Overall, our findings based on news reports are in close agreement with those derived from traditional epidemiological surveillance data and with those reported for prior outbreaks. Our findings support the use of real-time information from trustworthy news reports to provide timely estimates of key epidemiological parameters that may be hard to ascertain otherwise.

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