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

被引：1
|
作者：
Hurt, Benjamin [1 ]
Hoque, Oishee Bintey [1 ]
Mokrzycki, Finn [1 ]
Mathew, Anjali [1 ]
Xue, Maryann [1 ]
Gabitsinashvili, Luka [1 ]
Mokrzycki, Haile [1 ]
Fischer, Ranya [1 ]
Telesca, Nicholas [1 ]
Xue, Lauren Aurelia [1 ]
Ritchie, Jacob [2 ]
Zamfirescu-Pereira, J. D. [3 ]
Bernstein, Michael [2 ]
Whiting, Mark [4 ]
Marathe, Madhav [1 ]
机构：
[1] Univ Virginia, Biocomplex Inst & Initiat, Network Syst Sci & Adv Comp, Charlottesville, VA 22904 USA
[2] Stanford Univ, Dept Comp Sci, Stanford, CA USA
[3] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA USA
[4] Univ Penn, Dept Comp & Informat Sci, Philadelphia, PA USA
来源：
SCIENTIFIC DATA | 2023年 / 10卷 / 01期
关键词：
D O I：
10.1038/s41597-023-01979-6
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
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页数：10
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