Ontario’s Covid-19 Modelling Consensus Table
Mobilizing scientific expertise to support pandemic response
Bibliographic Data
| ID | 8899494 |
|---|---|
| Authors | Michael Hillmer (0000-0003-3532-5561, Ministry of Health and Long Term Care, corresponding author), Michael P Hillmer, Patrick Feng (0000-0002-4896-2730, University of Toronto), John Mclaughlin (0000-0001-6453-7577, University of Toronto), John R McLaughlin, V Kumar Murty (0009-0003-7735-5942, University of Toronto), Beate Sander (0000-0003-2128-9133, University Health Network), Anna Greenberg (Public Health Ontario), Adalsteinn D Brown (0000-0002-9233-087X), Adalsteinn Brown (0000-0002-4792-5938, University of Toronto) |
| Year | 2021 |
| Volume | 112 |
| Issue | 5 |
| Pages | 799-806 |
| Publication date | 2021-08-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Canadian Journal of Public Health (JOURNAL) |
| Journal identifiers | ISSN: 0008-4263 • E-ISSN: 1920-7476 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.17269/s41997-021-00559-8 |
| PMID | 34462892 |
| OpenAlex | W3196553215 |
| Language | EN |
| Citations received | 3 |
| References cited | 4 |
2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Data mining · Disease · Infectious disease (medical specialty · Pandemic · Political science · Round table · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Table (database · World Wide Web · Computer Science · Disaster Response and Management · Medicine · Viral Infections and Outbreaks Research · Virology · Zoonotic diseases and public health
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |