The role of models in the covid-19 pandemic

David M. Steinberg*, Ran D. Balicer, Yoav Benjamini, Hilla De-Leon, Doron Gazit, Hagai Rossman, Eli Sprecher

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Mathematical and statistical models have played an important role in the analysis of data from COVID-19. They are important for tracking the progress of the pandemic, for understanding its spread in the population, and perhaps most significantly for forecasting the future course of the pandemic and evaluating potential policy options. This article describes the types of models that were used by research teams in Israel, presents their assumptions and basic elements, and illustrates how they were used, and how they influenced decisions. The article grew out of a “modelists’ dialog” organized by the Israel National Institute for Health Policy Research with participation from some of the leaders in the local modeling effort.

Original languageAmerican English
Article number36
JournalIsrael Journal of Health Policy Research
Volume11
Issue number1
DOIs
StatePublished - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Keywords

  • Agent-Based models
  • Data Analysis
  • Forecasting
  • Nowcasting
  • SIR Model
  • Statistics

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