David L. Buckeridge

McGill University - School of Population and Global Health

Montreal, Quebec

Canada

SCHOLARLY PAPERS

5

DOWNLOADS

212

SSRN CITATIONS

11

CROSSREF CITATIONS

0

Scholarly Papers (5)

1.

Canada's Provincial Covid-19 Pandemic Modelling Efforts: A Review of Mathematical Models and Their Impacts on the Responses

Number of pages: 32 Posted: 22 Jun 2023
McGill University - Epidemiology, Biostatistics, & Occupational Health, McGill University - Epidemiology, Biostatistics, & Occupational Health, Simon Fraser University (SFU) - Department of Mathematics, University of British Columbia (UBC) - School of Population and Public Health, University of British Columbia (UBC) - School of Population and Public Health, British Columbia Centre for Disease Control, University of Calgary - Department of Community Health Sciences, Alberta Health Services - Analytics and Performance Reporting Branch, University of Alberta - Department of Mathematical and Statistical Sciences, University of Saskatchewan - Department of Computer Science, McMaster University - Department of Mathematics & Statistics, University of Toronto - Toronto Health Economics and Technology Assessment (THETA), University of Western Ontario - Richard Ivey School of Business, University of Toronto - Department of Mathematics, McGill University - Epidemiology, Biostatistics, & Occupational Health, McGill University - Faculty of Medicine and Health Sciences, McGill University - School of Population and Global Health, Memorial University of Newfoundland (MNU) - Faculty of Science, University of Toronto - Department of Medicine and McGill University - Epidemiology, Biostatistics, & Occupational Health
Downloads 151 (361,468)
Citation 12

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COVID-19; Mathematical modelling; Policy making; Knowledge translation; Pandemic; SARS-CoV-2

2.

Estimating the Population Effectiveness of Interventions Against COVID-19 in France: A Modelling Study

Number of pages: 22 Posted: 26 Jun 2023
University of Bordeaux - SISTM team, UMR 1219, McGill University - School of Population and Global Health, York University - Centre for Diseases Modeling (CDM), University of Bordeaux - SISTM team, UMR 1219 and University of Bordeaux - SISTM team, UMR 1219
Downloads 49 (725,959)

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COVID-19, SARS-CoV2, epidemics, dynamics, mathematical model, nonpharmaceutical interventions, vaccines

3.

Inferring Global-Scale Temporal Latent Topics From News Reports to Predict Public Health Interventions for COVID-19

Number of pages: 40 Posted: 23 Jun 2021
Zhi Wen, Guido Powell, Imane Chafi, David L. Buckeridge and Yue Li
McGill University - School of Computer Science, McGill University - School of Population and Global Health, McGill University - School of Computer Science, McGill University - School of Population and Global Health and McGill University - School of Computer Science
Downloads 12 (1,045,630)

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4.

Canada's Provincial Covid-19 Pandemic Modelling Efforts: A Review of Mathematical Models and How They Informed Public Health Responses

9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS:P2.041
Posted: 05 Dec 2023 Last Revised: 23 Dec 2023
McGill University - Epidemiology, Biostatistics, & Occupational Health, McGill University, Simon Fraser University, University of British Columbia (UBC) - School of Population and Public Health, BC Centre for Disease Control, University of Calgary - Department of Community Health Sciences, University of Alberta, University of Alberta, University of Saskatchewan, McMaster University, University of Toronto - Toronto Health Economics and Technology Assessment (THETA), Ivey Business School, University of Toronto - Department of Mathematics, McGill University - Epidemiology, Biostatistics, & Occupational Health, McGill University - School of Population and Global Health, McGill University - School of Population and Global Health, Memorial University, University of Toronto - Department of Medicine and McGill University - Epidemiology, Biostatistics, & Occupational Health

Abstract:

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COVID-19,SARS-CoV-2,mathematical modelling,pandemic response

5.

Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation

Annual Review of Public Health, Vol. 38, pp. 57-79, 2017
Posted: 19 Apr 2017
Samuel L. Groseclose and David L. Buckeridge
Government of the United States of America - Centers for Disease Control and Prevention (CDC) and McGill University - School of Population and Global Health

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