Characterizing Ebola Transmission Patterns Based on Internet News Reports
Author(s) -
Julie M. Cleaton,
Cécile Viboud,
Lone Simonsen,
A. Magdalena Hurtado,
Gerardo Chowell
Publication year - 2015
Publication title -
clinical infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/civ748
Subject(s) - sierra leone , medicine , outbreak , context (archaeology) , epidemiology , ebola virus , case fatality rate , transmission (telecommunications) , contact tracing , psychological intervention , demography , attack rate , confidence interval , infectious disease (medical specialty) , environmental health , disease , virology , geography , socioeconomics , covid-19 , archaeology , engineering , sociology , psychiatry , electrical engineering
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom