pntd.0004761.g002.tif (346.92 kB)
This figure illustrates three different methods used to create forecasts.
figure
posted on 2016-06-15, 05:44 authored by Nicholas G. Reich, Stephen A. Lauer, Krzysztof Sakrejda, Sopon Iamsirithaworn, Soawapak Hinjoy, Paphanij Suangtho, Suthanun Suthachana, Hannah E. Clapham, Henrik Salje, Derek A. T. Cummings, Justin LesslerPanel A shows predictions made using only data that was available at the analysis time, and ignoring the most recent six biweeks of reported cases. Panel B shows predictions that used fully observed data (including data that was not available at the analysis time) but still ignored cases from the six biweeks preceding the analysis time. Panel C shows predictions that could have been made at the analysis time if no reporting delays existed and all data that eventually was reported had been available in real-time.
History
Usage metrics
Categories
Keywords
xlink "> epidemicspractical computational infrastructurefully reported datacommunicable diseases place2 month horizontime forecasting modellong time scalesdengue hemorrhagic feverinfectious disease incidencethailand pinfectious diseasedengue incidencetime predictionstime predictiontime forecastsstep predictionsrange predictionproducing accuratepredictions madehuge burdengenerated multichallenging taskcase studyborne virusannually infectsactionable forecasts
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC