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Pivoting data and analytic capacity to support Ontario's COVID-19 response.
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.
  • Chung H; ICES, Toronto, ON.
  • Azimaee M; ICES, Toronto, ON.
  • Bronskill SE; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON.
  • Cartagena R; ICES, Toronto, ON.
  • Guttmann A; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON.
  • Ho MM; Dalla Lana School of Public Health, University of Toronto, Toronto, ON.
  • Ishiguro L; Evaluative Clinical Sciences, Sunnybrook Research Institute, Toronto, ON.
  • Kwong JC; Women's College Research Institute, Toronto, ON.
  • Paterson JM; ICES, Toronto, ON.
  • Ratnasingham S; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON.
  • Rosella LC; ICES, Toronto, ON.
  • Schull MJ; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON.
  • Vermeulen MJ; Dalla Lana School of Public Health, University of Toronto, Toronto, ON.
  • Victor JC; Hospital for Sick Children, Toronto, ON.
Int J Popul Data Sci ; 5(3): 1682, 2020.
Article in English | MEDLINE | ID: covidwho-1687756
ABSTRACT

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 Ontario, Canada, pivoted existing research infrastructure and engaged health system stakeholders to provide near real-time population-based data and analytics to support Ontario's COVID-19 pandemic response.

Results:

Since April 2020, ICES provided the Ontario COVID-19 Provincial Command Table and public health partners with regular and ad hoc reports on SARS-CoV-2 testing and COVID-19 vaccine coverage. These reports 1) helped identify congregate care/shared living settings that needed testing and prevention efforts early in the pandemic; 2) provided early indications of inequities in testing and infection in marginalized neighbourhoods, including areas with higher proportions of immigrants and visible minorities; 3) identified areas with high test positivity, which helped Public Health Units target and evaluate prevention efforts; and 4) contributed to altering the province's COVID-19 vaccine roll-out strategy to target high-risk neighbourhoods and helping Public Health Units and community organizations plan local vaccination programs. In addition, ICES is a key component of the Ontario Health Data Platform, which provides scientists with data access to conduct COVID-19 research and analyses. Discussion and

Conclusion:

ICES was well-positioned to provide rapid analyses for decision-makers to respond to the evolving public health emergency, and continues to contribute to Ontario's pandemic response by providing timely, relevant reports to health system stakeholders and facilitating data access for externally-funded COVID-19 research.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: North America Language: English Journal: Int J Popul Data Sci Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: North America Language: English Journal: Int J Popul Data Sci Year: 2020 Document Type: Article