Author: Cori, Anne; Donnelly, Christl A.; Dorigatti, Ilaria; Ferguson, Neil M.; Fraser, Christophe; Garske, Tini; Jombart, Thibaut; Nedjati-Gilani, Gemma; Nouvellet, Pierre; Riley, Steven; Van Kerkhove, Maria D.; Mills, Harriet L.; Blake, Isobel M.
Title: Key data for outbreak evaluation: building on the Ebola experience Document date: 2017_5_26
ID: 12t247bn_54
Snippet: Recently, mobile phone data have been explored as an alternative source of data on mobility patterns, which could be used to predict spatial epidemic spread [102] [103] [104] . However, a number of challenges (in particular related to privacy issues) meant that such data were unavailable to rstb.royalsocietypublishing.org Phil. Trans. R. Soc. B 372: 20160371 understand the regional and local spread of the West African Ebola epidemic [105] . In ad.....
Document: Recently, mobile phone data have been explored as an alternative source of data on mobility patterns, which could be used to predict spatial epidemic spread [102] [103] [104] . However, a number of challenges (in particular related to privacy issues) meant that such data were unavailable to rstb.royalsocietypublishing.org Phil. Trans. R. Soc. B 372: 20160371 understand the regional and local spread of the West African Ebola epidemic [105] . In addition, inter-country movement is not captured from these data. At a national level, the utility of mobile phone data may depend on whether mobile phone users are representative of the population contributing to transmission, the level of mobile phone coverage in the affected population and whether population movement is likely to remain the same during an epidemic compared to the time period of the data.
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