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

  • Michael Touchton
  • , Felicia Marie Knaul
  • , Héctor Arreola-Ornelas
  • , Thalia Porteny
  • , Óscar Méndez Carniado
  • , Marco Faganello
  • , Calla Hummel
  • , Silvia Otero
  • , Jorge Insua
  • , Fausto Patino
  • , Eduardo Undurraga
  • , Pedro Pérez-Cruz
  • , Mariano Sanchez-Talanquer
  • , V. Ximena Velasco Guachalla
  • , Jami Nelson-Nuñez
  • , Carew Boulding
  • , Renzo Calderon-Anyosa
  • , Patricia J. Garcia
  • , Valentina Vargas Enciso
  • University of Miami
  • University of Miami Leonard M. Miller School of Medicine
  • A.C.
  • Fundación Mexicana para la Salud
  • TEC de Monterrey. Servicio de Geriatría. Hospital Universitario “José Eleuterio González” UANL
  • Columbia University
  • University of Campinas
  • Universidad del Rosario
  • Universidad Austral
  • University of Buenos Aires
  • Universidad Andina Simón Bolívar, Ecuador
  • Pontificia Universidad Católica de Chile
  • Facultad de Medicina
  • Millennium Nucleus for the Study of the Life Course and Vulnerability
  • El Colegio de Mexico, A.C.
  • University of Essex
  • University of New Mexico
  • University of Colorado Boulder
  • McGill University

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Número de artículo734
PublicaciónScientific Data
Volumen10
N.º1
DOI
EstadoPublicada - dic. 2023

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar
  2. ODS 11: Ciudades y comunidades sostenibles
    ODS 11: Ciudades y comunidades sostenibles

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