Ontology highlight
ABSTRACT:
SUBMITTER: Friedman J
PROVIDER: S-EPMC7685335 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Friedman Joseph J Liu Patrick P Troeger Christopher E CE Carter Austin A Reiner Robert C RC Barber Ryan M RM Collins James J Lim Stephen S SS Pigott David M DM Vos Theo T Hay Simon I SI Murray Christopher J L CJL Gakidou Emmanuela E
medRxiv : the preprint server for health sciences 20201119
Forecasts and alternative scenarios of COVID-19 mortality have been critical inputs into a range of policies and decision-makers need information about predictive performance. We identified n=386 public COVID-19 forecasting models and included n=8 that were global in scope and provided public, date-versioned forecasts. For each, we examined the median absolute percent error (MAPE) compared to subsequently observed mortality trends, stratified by weeks of extrapolation, world region, and month of ...[more]