Modeling approaches for early warning and monitoring of pandemic situations as well as decision support

Publisher: Frontiers in Public Health

Authors: Jonas Botz, Danqi Wang, Nicolas Lambert, Nicolas Wagner, Marie Génin, Edward Thommes, Sumit Madan, Laurent Coudeville and Holger Fröhlich

Date: 14 November, 2022

DOI: doi.org/10.3389/fpubh.2022.994949

Abstract

The COVID-19 pandemic has highlighted the lack of preparedness of many healthcare systems against pandemic situations. In response, many population-level computational modeling approaches have been proposed for predicting outbreaks, spatiotemporally forecasting disease spread, and assessing as well as predicting the effectiveness of (non-) pharmaceutical interventions. However, in several countries, these modeling efforts have only limited impact on governmental decision-making so far. In light of this situation, the review aims to provide a critical review of existing modeling approaches and to discuss the potential for future developments.

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