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HIT-COVID, a global database tracking public health interventions to COVID-19.
Zheng, Qulu; Jones, Forrest K; Leavitt, Sarah V; Ung, Lawson; Labrique, Alain B; Peters, David H; Lee, Elizabeth C; Azman, Andrew S.
Afiliación
  • Zheng Q; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Jones FK; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Leavitt SV; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
  • Ung L; Infectious Disease Institute and Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, USA.
  • Labrique AB; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Peters DH; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Lee EC; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Azman AS; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. azman@jhu.edu.
Sci Data ; 7(1): 286, 2020 08 27.
Article en En | MEDLINE | ID: mdl-32855428
The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national and local governments, including border restrictions, school closures, mandatory facemask use and stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making in response to the current and future pandemics. In order to estimate the effectiveness of these interventions, detailed descriptions of their timelines, scale and scope are needed. The Health Intervention Tracking for COVID-19 (HIT-COVID) is a curated and standardized global database that catalogues the implementation and relaxation of COVID-19 related PHSM. With a team of over 200 volunteer contributors, we assembled policy timelines for a range of key PHSM aimed at reducing COVID-19 risk for the national and first administrative levels (e.g. provinces and states) globally, including details such as the degree of implementation and targeted populations. We continue to maintain and adapt this database to the changing COVID-19 landscape so it can serve as a resource for researchers and policymakers alike.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Control de Enfermedades Transmisibles / Bases de Datos Factuales / Infecciones por Coronavirus / Pandemias Límite: Humans Idioma: En Revista: Sci Data Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Control de Enfermedades Transmisibles / Bases de Datos Factuales / Infecciones por Coronavirus / Pandemias Límite: Humans Idioma: En Revista: Sci Data Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos