Evidence map›Paper›PMID 36266704›Full record

ArticleIsrael journal of health policy research2022

The role of models in the covid-19 pandemic.

David M Steinberg, Ran D Balicer, Yoav Benjamini, Hilla De-Leon, Doron Gazit, Hagai Rossman, Eli Sprecher

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Modelling practices, data provisioning, sharing and dissemination needs for pandemic decision-making: a European survey-based modellers' perspective, 2020 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

David M SteinbergDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel. dms@tauex.tau.ac.il.ORCID 0000-0001-9112-1809
Ran D BalicerInnovation Division, Clalit Health Services, Clalit Research Institute, Tel Aviv, Israel.
Yoav BenjaminiDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
Hilla De-LeonFaculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel.
Doron GazitRacah Institute of Physics, Hebrew University of Jerusalem, Jerusalem, Israel.
Hagai RossmanDepartment of Computer Science and Applied Mathematics, Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Eli SprecherDivision of Dermatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19HumansIsraelModels, StatisticalPandemicsSARS-CoV-2Agent-Based modelsData AnalysisForecastingNowcastingSIR ModelStatistics

Identifiers

PMID36266704
PMCPMC9584247

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.