Harmonizing government responses to the COVID-19 pandemic

Cheng C. Messerschmidt L. Bravo I. Waldbauer M. Bhavikatti R. Schenk C. Grujic V. Model T. Kubinec R. Barceló J.
December 2024 Nature Research

Scientific Data
2024 #11 Issue 1

Public health and safety measures (PHSM) made in response to the COVID-19 pandemic have been singular, rapid, and profuse compared to the content, speed, and volume of normal policy-making. Not only can they have a profound effect on the spread of the disease, but they may also have multitudinous secondary effects, in both the social and natural worlds. Unfortunately, despite the best efforts by numerous research groups, existing data on COVID-19 PHSM only partially captures their full geographical scale and policy scope for any significant duration of time. This paper introduces our effort to harmonize data from the eight largest such efforts for policies made before September 21, 2021 into the taxonomy developed by the CoronaNet Research Project in order to respond to the need for comprehensive, high quality COVID-19 data. In doing so, we present a comprehensive comparative analysis of existing data from different COVID-19 PHSM datasets, introduce our novel methodology for harmonizing COVID-19 PHSM data, and provide a clear-eyed assessment of the pros and cons of our efforts.

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Hochschule für Politik, Technical University of Munich, Richard-Wagner Str. 1, Bavaria, Munich, 80333, Germany
Sydney, Australia
School of Humanities and Social Sciences, Nazarbayev University, Kabanbay Batyr Ave., 53, Astana, 010000, Kazakhstan
Faculty of Law, University of Pernambuco, Praça Adolfo Cirne, Recife, 50050-060, Brazil
iSpot, 15831 NE 8th Str #100, Bellevue, 98008, WA, United States
Division of Social Science, New York University Abu Dhabi, Social Science Building (A5), Abu Dhabi, 129188, United Arab Emirates

Hochschule für Politik
Sydney
School of Humanities and Social Sciences
Faculty of Law
iSpot
Division of Social Science

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