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The role of models in the covid-19 pandemic.
Steinberg, David M; Balicer, Ran D; Benjamini, Yoav; De-Leon, Hilla; Gazit, Doron; Rossman, Hagai; Sprecher, Eli.
Afiliación
  • Steinberg DM; Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel. dms@tauex.tau.ac.il.
  • Balicer RD; Innovation Division, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel.
  • Benjamini Y; School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Be'er Sheva, Israel.
  • De-Leon H; Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
  • Gazit D; Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel.
  • Rossman H; Racah Institute of Physics, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Sprecher E; Department of Computer Science and Applied Mathematics, Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Isr J Health Policy Res ; 11(1): 36, 2022 10 20.
Article en En | MEDLINE | ID: mdl-36266704
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Isr J Health Policy Res Año: 2022 Tipo del documento: Article País de afiliación: Israel

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Isr J Health Policy Res Año: 2022 Tipo del documento: Article País de afiliación: Israel