Pivoting data and analytic capacity to support Ontario’s COVID-19 response

INTRODUCTION: Health care systems have faced unprecedented challenges due to the COVID-19 pandemic. Access to timely population-based data has been vital to informing public health policy and practice. METHODS: We describe how ICES, an independent not-for-profit research and analytic institute in On...

Descripción completa

Detalles Bibliográficos
Autores principales: Chung, Hannah, Azimaee, Mahmoud, Bronskill, Susan E., Cartagena, Rosario, Guttmann, Astrid, Ho, Minnie M., Ishiguro, Lisa, Kwong, Jeffrey C., Paterson, J. Michael, Ratnasingham, Sujitha, Rosella, Laura C., Schull, Michael J., Vermeulen, Marian J., Victor, J. Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2022
Materias:
Population Data Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785247/
https://www.ncbi.nlm.nih.gov/pubmed/35141430
http://dx.doi.org/10.23889/ijpds.v5i4.1682

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785247/
https://www.ncbi.nlm.nih.gov/pubmed/35141430
http://dx.doi.org/10.23889/ijpds.v5i4.1682

Ejemplares similares