Evidence map›Paper›PMID 35710807›Full record

ArticleScientific data2022

Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies.

Olga Shvetsova, Andrei Zhirnov, Abdul Basit Adeel, Mert Can Bayar, Onsel Gurel Bayrali, Michael Catalano, Olivia Catalano, Hyoungrohk Chu, Frank Giannelli, Ezgi Muftuoglu and 5 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. [Geography and health-the example of the COVID-19 pandemic in Bremen].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
    Article
  2. 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

15 authors.

Olga ShvetsovaBinghamton University, Binghamton, New York, USA. shvetso@binghamton.edu.ORCID 0000-0002-7302-7197
Andrei ZhirnovUniversity of Exeter, Exeter, Devon, UK.ORCID 0000-0002-2978-8239
Abdul Basit AdeelPenn State University, State College, Pennsylvania, USA.
Mert Can BayarBinghamton University, Binghamton, New York, USA.
Onsel Gurel BayraliBinghamton University, Binghamton, New York, USA.
Michael CatalanoBinghamton University, Binghamton, New York, USA.ORCID 0000-0002-3663-6356
Olivia CatalanoMS-MPH, unaffiliated researcher, Binghamton, New York, USA.
Hyoungrohk ChuBinghamton University, Binghamton, New York, USA.
Frank GiannelliRutgers, the State University of New Jersey, Piscataway, New Jersey, USA.
Ezgi MuftuogluBinghamton University, Binghamton, New York, USA.
Dina RosenbergNational Research University-Higher School of Economics, Moscow, Russia.
Didem SeyisBinghamton University, Binghamton, New York, USA.
Bradley SkopykBinghamton University, Binghamton, New York, USA.
Julie VanDusky-AllenBoise State University, Boise, Idaho, USA.
Tianyi ZhaoBinghamton University, Binghamton, New York, USA.

Funding

SUNY | Binghamton University n/aSUNY | Binghamton University NA
6 · The paper itself

Abstract

We have developed and made accessible for multidisciplinary audience a unique global dataset of the behavior of political actors during the COVID-19 pandemic as measured by their policy-making efforts to protect their publics. The dataset presents consistently coded cross-national data at subnational and national levels on the daily level of stringency of public health policies by level of government overall and within specific policy categories, and reports branches of government that adopted these policies. The data on these public mandates of protective behaviors is collected from media announcements and government publications. The dataset allows comparisons of governments' policy efforts and timing across the world and can serve as a source of information on policy determinants of pandemic outcomes-both societal and possibly medical.

Indexed as

COVID-19Health PolicyHumansPandemics

Identifiers

PMID35710807
PMCPMC9203541

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.