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; Jacob Ritchie; J. D. Zamfirescu-Pereira; Michael Bernstein; Mark Whiting; Madhav Marathe

doi:10.1038/s41597-023-01979-6

Scientific Data (Mar 2023)

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,
Jacob Ritchie,
J. D. Zamfirescu-Pereira,
Michael Bernstein,
Mark Whiting,
Madhav Marathe

Affiliations

Benjamin Hurt: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Oishee Bintey Hoque: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Finn Mokrzycki: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Anjali Mathew: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Maryann Xue: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Luka Gabitsinashvili: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Haile Mokrzycki: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Ranya Fischer: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Nicholas Telesca: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Lauren Aurelia Xue: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia
Jacob Ritchie: Dept of Computer Science, Stanford University
J. D. Zamfirescu-Pereira: Dept of Electrical Engineering and Computer Science, University of California
Michael Bernstein: Dept of Computer Science, Stanford University
Mark Whiting: Department of Computer and Information Sciences, University of Pennsylvania
Madhav Marathe: Network Systems Science and Advanced Computing, Biocomplexity Institute and Initiative, University of Virginia

DOI: https://doi.org/10.1038/s41597-023-01979-6
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 10

Abstract

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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.

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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