Evidence map›Paper›PMID 36894597›Full record

ArticleScientific data2023

COVID-19 non-pharmaceutical interventions: data annotation for rapidly changing local policy information.

Benjamin Hurt, Oishee Bintey Hoque, Finn Mokrzycki, Anjali Mathew, Maryann Xue, Luka Gabitsinashvili, Haile Mokrzycki, Ranya Fischer, Nicholas Telesca, Lauren Aurelia Xue and 5 more

Open access · goldAbstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 6 institutions in 2 countries.

Benjamin Hurt *Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA. benjaminhurt@virginia.edu.ORCID 0000-0002-3803-2900
Oishee Bintey Hoque *Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA. oishee@virginia.edu.ORCID 0000-0002-4646-3217
Finn MokrzyckiNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA. qcp6az@virginia.edu.ORCID 0000-0002-8885-1971
Anjali MathewNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
Maryann XueNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
Luka GabitsinashviliNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.ORCID 0000-0003-3670-1012
Haile MokrzyckiNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
Ranya FischerNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
Nicholas TelescaNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
Lauren Aurelia XueNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.
Jacob RitchieDept of Computer Science, Stanford University, Stanford, USA.ORCID 0000-0001-9526-6378
J D Zamfirescu-PereiraDept of Electrical Engineering and Computer Science, University of California, Berkeley, USA.
Michael BernsteinDept of Computer Science, Stanford University, Stanford, USA.ORCID 0000-0001-8020-9434
Mark WhitingDepartment of Computer and Information Sciences, University of Pennsylvania, Philadelphia, USA.ORCID 0000-0002-6395-7833
Madhav MaratheNetwork Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA. marathe@virginia.edu.
Biocom · USEngineering Systems (United States) · USStanford University · USComputing Center · RUUniversity of California, Berkeley · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the scope, prevalence, and impact of the COVID-19 pandemic response will be a rich ground for research for many years. Key to the response to COVID-19 was the non-pharmaceutical intervention (NPI) measures, such as mask mandates or stay-in-place orders. For future pandemic preparedness, it is critical to understand the impact and scope of these interventions. Given the ongoing nature of the pandemic, existing NPI studies covering only the initial portion provide only a narrow view of the impact of NPI measures. This paper describes a dataset of NPI measures taken by counties in the U.S. state of Virginia that include measures taken over the first two years of the pandemic beginning in March 2020. This data enables analyses of NPI measures over a long time period that can produce impact analyses on both the individual NPI effectiveness in slowing the pandemic spread, and the impact of various NPI measures on the behavior and conditions of the different counties and state.

Indexed as

COVID-19Data CurationHumansPandemicsPolicyVirginia

Identifiers

PMID36894597
PMCPMC9996560
OpenAlexW4323668505

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.