Evidence map›Paper›PMID 35493128›Full record

ArticleOpen forum infectious diseases2022

Quantifying the Population-Level Effect of the COVID-19 Mass Vaccination Campaign in Israel: A Modeling Study.

Ido Somekh, Wasiur R KhudaBukhsh, Elisabeth Dowling Root, Lital Keinan Boker, Grzegorz Rempala, Eric A F Simões, Eli Somekh

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Lab results of COVID-19 patients: OmicronWorld journal of virology · 2024
    Article
  4. Article
  5. Projecting COVID-19 cases and hospital burden in Ohio.Journal of theoretical biology · 2023
    Article
  6. A Game-Theory-Based Approach to Promoting Health Policy among Minorities.International journal of environmental research and public health · 2023
    Article
  7. COVID-19 dynamics in an Ohio prison.Frontiers in public health · 2023
    Article
  8. Article
  9. Projecting COVID-19 Cases and Subsequent Hospital Burden in Ohio.medRxiv : the preprint server for health sciences · 2022
    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.

Ido SomekhDepartment of Pediatric Hematology Oncology, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.
Wasiur R KhudaBukhshSchool of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
Elisabeth Dowling RootDepartment of Geography and Division of Epidemiology, The Ohio State University, and Translational Data Analytics Institute Columbus, Columbus, Ohio, USA.
Lital Keinan BokerIsrael Center for Disease Control, Israel Ministry of Health, Ramat Gan, Israel.
Grzegorz RempalaDepartment of Mathematics, The Ohio State University, Columbus, Ohio, USA.
Eric A F SimõesUniversity of Colorado School of Medicine, Aurora, Colorado, USA.
Eli SomekhSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Estimating real-world vaccine effectiveness is challenging as a variety of population factors can impact vaccine effectiveness. We aimed to assess the population-level reduction in cumulative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases, hospitalizations, and mortality due to the BNT162b2 mRNA coronavirus disease 2019 (COVID-19) vaccination campaign in Israel during January-February 2021. Methods: A susceptible-infected-recovered/removed (SIR) model and a Dynamic Survival Analysis (DSA) statistical approach were used. Daily counts of individuals who tested positive and of vaccine doses administered, obtained from the Israeli Ministry of Health, were used to calibrate the model. The model was parameterized using values derived from a previous phase of the pandemic during which similar lockdown and other preventive measures were implemented in order to take into account the effect of these prevention measures on COVID-19 spread. Results: Our model predicted for the total population a reduction of 648 585 SARS-CoV-2 cases (75% confidence interval [CI], 25 877-1 396 963) during the first 2 months of the vaccination campaign. The number of averted hospitalizations for moderate to severe conditions was 16 101 (75% CI, 2010-33 035), and reduction of death was estimated at 5123 (75% CI, 388-10 815) fatalities. Among children aged 0-19 years, we estimated a reduction of 163 436 (75% CI, 0-433 233) SARS-CoV-2 cases, which we consider to be an indirect effect of the vaccine. Conclusions: Our results suggest that the rapid vaccination campaign prevented hundreds of thousands of new cases as well as thousands of hospitalizations and fatalities and has probably averted a major health care crisis.

Indexed as

COVID-19effectmodelingreal-lifevaccination

Identifiers

PMID35493128
PMCPMC9043004

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.