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Patterns of seasonal and pandemic influenza-associated health care and mortality in Ontario, Canada

Bibliographic Data

ID15378015
AuthorsMichael J Li (0000-0003-2457-604X), Michael Li (0000-0002-9014-3309, McMaster University, corresponding author), Benjamin M Bolker (0000-0002-2127-0443, McMaster University), Jonathan Dushoff (0000-0003-0506-4794, McMaster University), Junling Ma (0000-0002-0197-2317, University of Victoria), David J D Earn (0000-0002-7562-1341, McMaster University)
Year2019
Volume19
Issue1
Pages1237-1237
Publication date2019-09-06
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-019-7369-x
PMID31492122
OpenAlexW2971946997
LanguageEN
References cited19

Our empirical delay distributions and conditional probabilities should help facilitate more accurate forecasts in the future, including improved predictions of hospital bed demands during influenza outbreaks, and the expected effects of hospitalizations on epidemic dynamics

Biostatistics · Context (archaeology · Coronavirus disease 2019 (COVID-19 · Disease · Environmental health · Geography · Health care · Infectious disease (medical specialty · Medical emergency · Pandemic · Public health · Quartile · Climate Change and Health Impacts · COVID-19 epidemiological studies · Demography · Influenza Virus Research Studies · Medicine · Emergency Medicine · Epidemiology · Internal Medicine · Pediatrics

  • Infectious Diseases of Humans

    Roxanne Marie Anderson, Roy M Anderson et al.•Infectious diseases of humans•1991

  • Estimates of global seasonal influenza-associated respiratory mortality

    Open Access•A Danielle Iuliano, Katherine Roguski et al.•The Lancet•2018

  • GlmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

    Open Access•E Brooks Mollie, Kasper Kristensen et al.•The R Journal•2017

Highly citedNo

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