Francesca Scarabel

York University - Laboratory for Industrial and Applied Mathematics

4700 Keele Street

Toronto, Ontario M3J 1P3

Canada

SCHOLARLY PAPERS

4

DOWNLOADS

938

SSRN CITATIONS

1

CROSSREF CITATIONS

1

Scholarly Papers (4)

1.

Canada Needs to Rapidly Escalate Public Health Interventions for Its COVID-19 Mitigation Strategies

Number of pages: 13 Posted: 24 Mar 2020 Last Revised: 27 Mar 2020
York University - Laboratory for Industrial and Applied Mathematics, The University of Manchester, University of Parma and York University - Laboratory for Industrial and Applied MathematicsAfrica-Canada Artificial Intelligence and Data Innovation Consortium
Downloads 634 (78,112)
Citation 2

Abstract:

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COVID-19; pandemics; growth rate; public health; intervention measures; Italy; Canada

2.

The Impact of Public Health Interventions on Delaying and Mitigating against Replacement by SARS-CoV-2 Variants of Concern

Number of pages: 17 Posted: 08 Feb 2021
York University - Laboratory for Industrial and Applied MathematicsAfrica-Canada Artificial Intelligence and Data Innovation Consortium, York University - Laboratory for Industrial and Applied Mathematics, York University, University of Parma and York University
Downloads 146 (364,381)
Citation 1

Abstract:

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COVID-19, variant of concern, variant take-over, precision in decision making

3.

De-escalation by Reversing the Escalation with a Stronger Synergistic Package of Contact Tracing, Quarantine, Isolation and Personal Protection: Feasibility of Preventing a COVID-19 Rebound in Ontario, Canada, as a Case Study

Biology, Forthcoming
Number of pages: 15 Posted: 18 May 2020
York University - Laboratory for Industrial and Applied Mathematics, York University - Laboratory for Industrial and Applied Mathematics, University of Parma, York University - Laboratory for Industrial and Applied Mathematics, York University, University of Cincinnati - Department of Mathematical Sciences, York University - Centre for Diseases Modeling (CDM), York University, Public Health Agency of Canada and York University - Laboratory for Industrial and Applied MathematicsAfrica-Canada Artificial Intelligence and Data Innovation Consortium
Downloads 86 (532,954)
Citation 1

Abstract:

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4.

Quantifying the Shift in Social Contact Patterns in Response to Non-Pharmaceutical Interventions

Number of pages: 25 Posted: 13 Oct 2020
York University - Laboratory for Industrial and Applied Mathematics, University of Cincinnati - Department of Mathematical Sciences, York University - Laboratory for Industrial and Applied Mathematics, York University - Laboratory for Industrial and Applied Mathematics, York University - Laboratory for Industrial and Applied Mathematics, York University - Laboratory for Industrial and Applied Mathematics, York University - Centre for Diseases Modeling (CDM), Africa-Canada Artificial Intelligence and Data Innovation Consortium, University of Toronto - Department of Mathematics, Public Health Agency Canada - Public Health Risk Sciences Division and York University - Laboratory for Industrial and Applied MathematicsAfrica-Canada Artificial Intelligence and Data Innovation Consortium
Downloads 72 (590,811)

Abstract:

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social contact patterns, non-pharmaceutical interventions, COVID-19