The role of statisticians in the response to COVID-19 in Israel: a holistic point of view
The role of statisticians in the response to COVID-19 in Israel: a holistic point of view
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.
Data analysis, Data collection, Data driven policy, Data quality, Modeling, Pandemic, Statistics
Dattner, Itai
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Gal, Reuven
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Goldberg, Yair
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Goldshtein, Inbal
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Huppert, Amit
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Kenett, Ron S.
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Manor, Orly
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Pfeffermann, Danny
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Schechtman, Edna
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Di Serio, Clelia
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Steinberg, David M.
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1 December 2022
Dattner, Itai
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Gal, Reuven
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Goldberg, Yair
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Goldshtein, Inbal
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Huppert, Amit
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Kenett, Ron S.
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Manor, Orly
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Pfeffermann, Danny
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Schechtman, Edna
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Di Serio, Clelia
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Steinberg, David M.
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Dattner, Itai, Gal, Reuven, Goldberg, Yair, Goldshtein, Inbal, Huppert, Amit, Kenett, Ron S., Manor, Orly, Pfeffermann, Danny, Schechtman, Edna, Di Serio, Clelia and Steinberg, David M.
(2022)
The role of statisticians in the response to COVID-19 in Israel: a holistic point of view.
Israel Journal of Health Policy Research, 11 (1), [22].
(doi:10.1186/s13584-022-00531-y).
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.
Text
Paper on Statistics and Corona in Israel 15-04-22
- Accepted Manuscript
Text
s13584-022-00531-y
- Version of Record
More information
Accepted/In Press date: 3 April 2022
e-pub ahead of print date: 20 April 2022
Published date: 1 December 2022
Additional Information:
Funding Information:
The authors thank the Samuel Neaman Institute for hosting the roundtable that served as the springboard for this article.
Publisher Copyright:
© 2022, The Author(s).
Keywords:
Data analysis, Data collection, Data driven policy, Data quality, Modeling, Pandemic, Statistics
Identifiers
Local EPrints ID: 472845
URI: http://eprints.soton.ac.uk/id/eprint/472845
ISSN: 2045-4015
PURE UUID: 0fcdc551-923b-429f-a2db-8613308889a8
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Date deposited: 20 Dec 2022 17:33
Last modified: 16 Mar 2024 23:19
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Contributors
Author:
Itai Dattner
Author:
Reuven Gal
Author:
Yair Goldberg
Author:
Inbal Goldshtein
Author:
Amit Huppert
Author:
Ron S. Kenett
Author:
Orly Manor
Author:
Edna Schechtman
Author:
Clelia Di Serio
Author:
David M. Steinberg
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