Evidence map›Paper›PMID 35443682›Full record

ArticleIsrael journal of health policy research2022

The role of statisticians in the response to COVID-19 in Israel: a holistic point of view.

Itai Dattner, Reuven Gal, Yair Goldberg, Inbal Goldshtein, Amit Huppert, Ron S Kenett, Orly Manor, Danny Pfeffermann, Edna Schechtman, Clelia di Serio and 1 more

Abstract read
In one paragraph

Article in Israel journal of health policy research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The role of models in the covid-19 pandemic.Israel journal of health policy research · 2022
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Itai DattnerUniversity of Haifa, Haifa, Israel.
Reuven GalSamuel Neaman Institute, Technion, Haifa, Israel.
Yair GoldbergTechnion, Haifa, Israel.
Inbal GoldshteinMaccabiTech, Tel Aviv, Israel.
Amit HuppertGertner Institute, Ramat Gan, Israel.
Ron S KenettSamuel Neaman Institute, Technion, Haifa, Israel.
Orly ManorHebrew University, Jerusalem, Israel.
Danny PfeffermannHebrew University, Jerusalem, Israel.
Edna SchechtmanBen Gurion University of the Negev, Be'er Sheva, Israel.
Clelia di SerioUniversità Vita-Salute San Raffaele, Milan, Italy.
David M SteinbergTel Aviv University, Tel Aviv, Israel. dms@tauex.tau.ac.il.ORCID 0000-0001-9112-1809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19HumansIsraelPandemicsPublic PolicyData analysisData collectionData driven policyData qualityModelingPandemicStatistics

Identifiers

PMID35443682
PMCPMC9019798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.