Non-pharmaceutical interventions to combat COVID-19 in the Americas described through daily sub-national data.

Autor: Touchton M; Department of Political Science, School of Arts and Sciences, University of Miami, Miami, Florida, USA.; Institute for Advanced Study of the Americas, University of Miami, Miami, Florida, USA., Knaul FM; Institute for Advanced Study of the Americas, University of Miami, Miami, Florida, USA.; Leonard M. Miller School of Medicine, University of Miami, Miami, Florida, USA.; Tómatelo a Pecho, A.C., Mexico City, Mexico.; Fundación Mexicana para la Salud, A.C., Mexico City, Mexico., Arreola-Ornelas H; Institute for Advanced Study of the Americas, University of Miami, Miami, Florida, USA. harreola@tec.mx.; Tómatelo a Pecho, A.C., Mexico City, Mexico. harreola@tec.mx.; Fundación Mexicana para la Salud, A.C., Mexico City, Mexico. harreola@tec.mx.; Institute for Obesity Research, Tecnológico de Monterrey, Monterrey, Mexico. harreola@tec.mx.; School of Government and Public Transformation, Tecnológico de Monterrey, Mexico City, Mexico. harreola@tec.mx., Porteny T; Institute for Advanced Study of the Americas, University of Miami, Miami, Florida, USA.; Department of Health Policy and Management, Columbia Mailman School of Public Health, New York, New York, USA., Carniado ÓM; Institute for Advanced Study of the Americas, University of Miami, Miami, Florida, USA.; Tómatelo a Pecho, A.C., Mexico City, Mexico.; Institute for Obesity Research, Tecnológico de Monterrey, Monterrey, Mexico., Faganello M; MAF dataScience, Universidade Estadual de Campinas, Campinas, Brazil., Hummel C; Department of Political Science, School of Arts and Sciences, University of Miami, Miami, Florida, USA., Otero S; Facultad de Estudios Internacionales, Políticos y Urbanos, Universidad del Rosario, Bogotá, Colombia., Insua J; Health Policy and Management, School of Biomedical Sciences, School of Government, School of Health Care Management, Universidad Austral, Buenos Aires, Argentina.; School of Public Health, University of Buenos Aires, Buenos Aires, Argentina., Patino F; Universidad Andina, Simón Bolívar, Quito, Ecuador., Undurraga E; Escuela de Gobierno, Pontificia Universidad Católica de Chile, Santiago, Chile., Pérez-Cruz P; Departamento Medicina Interna, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.; Millennium Nucleus for the Study of the Life Course and Vulnerability, Santiago, Chile., Sanchez-Talanquer M; Department of Political Science, Colegio de Mexico, Mexico City, Mexico., Velasco Guachalla VX; Department of Government, University of Essex, Essex, England., Nelson-Nuñez J; Department of Political Science, University of New Mexico, Albuquerque, New Mexico, USA., Boulding C; Department of Political Science, University of Colorado, Boulder, Colorado, USA., Calderon-Anyosa R; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada., Garcia PJ; Universidad Peruana Cayetano Heredia, Lima, San Martin de Porres, Peru., Vargas Enciso V; Institute for Advanced Study of the Americas, University of Miami, Miami, Florida, USA.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2023 Oct 21; Vol. 10 (1), pp. 734. Date of Electronic Publication: 2023 Oct 21.
DOI: 10.1038/s41597-023-02638-6
Abstrakt: This dataset covers national and subnational non-pharmaceutical interventions (NPI) to combat the COVID-19 pandemic in the Americas. Prior to the development of a vaccine, NPI were governments' primary tools to mitigate the spread of COVID-19. Variation in subnational responses to COVID-19 is high and is salient for health outcomes. This dataset captures governments' dynamic, varied NPI to combat COVID-19 for 80% of Latin America's population from each country's first case through December 2021. These daily data encompass all national and subnational units in Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico, and Peru. The dataset includes individual and aggregate indices of nine NPI: school closures, work suspensions, public event cancellations, public transport suspensions, information campaigns, local travel restrictions, international travel controls, stay-at-home orders, and restrictions on the size of gatherings. We also collected data on mask mandates as a separate indicator. Local country-teams drew from multiple data sources, resulting in high-quality, reliable data. The dataset thus allows for consistent, meaningful comparisons of NPI within and across countries during the pandemic.
(© 2023. Springer Nature Limited.)
Databáze: MEDLINE
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