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_69
Snippet: It is also important to quantify delays encountered in the reporting of cases [129] . During the West African Ebola epidemic, there were delays in all databases and disparities between different data sources. In particular, comparison between the line-list of cases and aggregated daily case counts reported by the affected countries highlighted reporting delays in the line-list. As a result, at any point in the outbreak, naive time series of case .....
Document: It is also important to quantify delays encountered in the reporting of cases [129] . During the West African Ebola epidemic, there were delays in all databases and disparities between different data sources. In particular, comparison between the line-list of cases and aggregated daily case counts reported by the affected countries highlighted reporting delays in the line-list. As a result, at any point in the outbreak, naive time series of case counts derived from the line-list suggested that the epidemic was declining, due to right-censoring. Comparison between the line-list and reported aggregated case counts (which were more up-todate) and between successive versions of the line-list allowed the reporting delays to be quantified. Analyses such as the projected incidence could then be adjusted accordingly [5] .
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