Pivoting data and analytic capacity to support Ontario’s COVID-19 response Article Swipe
Hannah Chung
,
Mahmoud Azimaee
,
Susan E. Bronskill
,
Rosario G Cartagena
,
Astrid Guttmann
,
Minnie Ho
,
Lisa Ishiguro
,
Jeffrey C. Kwong
,
J. Michael Paterson
,
Sujitha Ratnasingham
,
Laura C. Rosella
,
Michael J. Schull
,
Marian J. Vermeulen
,
J. Charles Victor
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.23889/ijpds.v5i4.1682
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.23889/ijpds.v5i4.1682
IntroductionHealth 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. MethodsWe 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. ResultsSince 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 ConclusionICES 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.
Related Topics
Concepts
Public health
Pandemic
Population
Health care
Analytics
Population health
Public relations
Business
Political science
Environmental health
Coronavirus disease 2019 (COVID-19)
Medicine
Nursing
Data science
Computer science
Disease
Infectious disease (medical specialty)
Pathology
Law
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.23889/ijpds.v5i4.1682
- https://ijpds.org/article/download/1682/3308
- OA Status
- gold
- Cited By
- 14
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206039573
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4206039573Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.23889/ijpds.v5i4.1682Digital Object Identifier
- Title
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Pivoting data and analytic capacity to support Ontario’s COVID-19 responseWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-18Full publication date if available
- Authors
-
Hannah Chung, Mahmoud Azimaee, Susan E. Bronskill, Rosario G Cartagena, Astrid Guttmann, Minnie Ho, Lisa Ishiguro, Jeffrey C. Kwong, J. Michael Paterson, Sujitha Ratnasingham, Laura C. Rosella, Michael J. Schull, Marian J. Vermeulen, J. Charles VictorList of authors in order
- Landing page
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https://doi.org/10.23889/ijpds.v5i4.1682Publisher landing page
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https://ijpds.org/article/download/1682/3308Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ijpds.org/article/download/1682/3308Direct OA link when available
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Public health, Pandemic, Population, Health care, Analytics, Population health, Public relations, Business, Political science, Environmental health, Coronavirus disease 2019 (COVID-19), Medicine, Nursing, Data science, Computer science, Disease, Infectious disease (medical specialty), Pathology, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
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2025: 2, 2024: 5, 2023: 5, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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9Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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