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Jon Meddings
Alberta Health Services
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SCHOLARLY PAPERS
1
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Scholarly Papers (1)
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1.
Wastewater-Based Surveillance Can Be Used to Model COVID-19-Associated Workforce Absenteeism
Number of pages: 34
Posted: 28 Jan 2023
Nicole Acosta
,
Xiaotian Dai
,
Maria Bautista
,
Barbara Waddell
,
Jangwoo Lee
,
Kristine Du
,
Janine McCalder
,
Puja Pradhan
,
Chloe Papparis
,
Xuewen Lu
,
Thierry Chekou
,
Alexander Krusina
,
Danielle Southern
,
Tyler Williamson
,
Rhonda Clark
,
Raymond Patterson
,
Paul Westlund
, Jon Meddings,
Norma Ruecker
,
Christopher Lammiman
,
Coby Duerr
,
Gopal Achari
,
Steve Hrudey
,
Bonita E. Lee
,
Xiaoli Pang
,
Kevin Frankowski
,
Casey Hubert
and
Michael Parkins
University of Calgary - Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, University of Calgary, University of Calgary - Department of Microbiology, Immunology and Infectious Diseases, University of Calgary - Department of Microbiology, Immunology and Infectious Diseases, University of Calgary - Department of Microbiology, Immunology and Infectious Diseases, University of Calgary - Department of Microbiology, Immunology and Infectious Diseases, University of Calgary - Department of Microbiology, Immunology and Infectious Diseases, University of Calgary - Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, University of Calgary - Department of Mathematics and Statistics, University of Calgary - Department of Community Health Sciences, University of Calgary - Department of Community Health Sciences, University of Calgary - Department of Community Health Sciences, University of Calgary, University of Calgary - Haskayne School of Business, C.E.C. Analytics Ltd., Alberta Health Services, The City of Calgary, Calgary Emergency Management Agency (CEMA), Calgary Emergency Management Agency (CEMA), University of Calgary, University of Alberta, University of Alberta, University of Alberta, University of Calgary, University of Calgary and University of Calgary - Department of Microbiology, Immunology and Infectious Diseases
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Abstract:
Epidemiology, sewage, SARS-CoV-2, staffing, labour scheduling, prediction
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