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The role of statisticians in the response to COVID-19 in Israel: a holistic point of view.
Dattner, Itai; Gal, Reuven; Goldberg, Yair; Goldshtein, Inbal; Huppert, Amit; Kenett, Ron S; Manor, Orly; Pfeffermann, Danny; Schechtman, Edna; di Serio, Clelia; Steinberg, David M.
  • Dattner I; University of Haifa, Haifa, Israel.
  • Gal R; Samuel Neaman Institute, Technion, Haifa, Israel.
  • Goldberg Y; Technion, Haifa, Israel.
  • Goldshtein I; MaccabiTech, Tel Aviv, Israel.
  • Huppert A; Gertner Institute, Ramat Gan, Israel.
  • Kenett RS; Samuel Neaman Institute, Technion, Haifa, Israel.
  • Manor O; KPA Group, Ra'anana, Israel.
  • Pfeffermann D; University of Turin, Turin, Italy.
  • Schechtman E; Hebrew University, Jerusalem, Israel.
  • di Serio C; Hebrew University, Jerusalem, Israel.
  • Steinberg DM; Israel Central Bureau of Statistics, Jerusalem, Israel.
Isr J Health Policy Res ; 11(1): 22, 2022 04 20.
Article in English | MEDLINE | ID: covidwho-1808383
ABSTRACT
The COVID-19 pandemic cast a dramatic spotlight on the use of data as a fundamental component of good decision-making. Evaluating and comparing alternative policies required information on concurrent infection rates and insightful analysis to project them into the future. Statisticians in Israel were involved in these processes early in the pandemic in some silos as an ad-hoc unorganized effort. Informal discussions within the statistical community culminated in a roundtable, organized by three past presidents of the Israel Statistical Association, and hosted by the Samuel Neaman Institute in April 2021. The meeting was designed to provide a forum for exchange of views on the profession's role during the COVID-19 pandemic, and more generally, on its influence in promoting evidence-based public policy. This paper builds on the insights and discussions that emerged during the roundtable meeting and presents a general framework, with recommendations, for involving statisticians and statistics in decision-making.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Qualitative research Limits: Humans Country/Region as subject: Asia Language: English Journal: Isr J Health Policy Res Year: 2022 Document Type: Article Affiliation country: S13584-022-00531-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Qualitative research Limits: Humans Country/Region as subject: Asia Language: English Journal: Isr J Health Policy Res Year: 2022 Document Type: Article Affiliation country: S13584-022-00531-y