Bibliographic Details
| Title: |
COVID-19 non-pharmaceutical interventions: data annotation for rapidly changing local policy information |
| Authors: |
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 |
| Source: |
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023) |
| Publisher Information: |
Nature Portfolio, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2052-4463 |
| Relation: |
https://doaj.org/toc/2052-4463 |
| DOI: |
10.1038/s41597-023-01979-6 |
| Access URL: |
https://doaj.org/article/9c43b4628db644cba74afcb9b96d4ca3 |
| Accession Number: |
edsdoj.9c43b4628db644cba74afcb9b96d4ca3 |
| Database: |
Directory of Open Access Journals |
