Your browser doesn't support javascript.
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.
  • 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 in English | MEDLINE | ID: covidwho-2079545
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Isr J Health Policy Res Year: 2022 Document Type: Article Affiliation country: S13584-022-00546-5

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Isr J Health Policy Res Year: 2022 Document Type: Article Affiliation country: S13584-022-00546-5