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David J D Earn

Biographic Data

ID6044910
NAMEDavid J D Earn
GIVEN NAMESDavid J D
FAMILY NAMEEarn
SIGNATUREEARN D J D
AFFILIATIONSMcMaster University
ORCID0000-0002-7562-1341
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS2
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2025
H-INDEX1
  • A century of weekly notifiable disease incidence data by province in Canada

    Open Access•David J D Earn, Gabrielle MacKinnon et al.•ARTICLE•PLOS Global Public Health•2025

    Canadian notifiable disease surveillance programmes have recorded communicable disease incidence data, dating back to the late 19th century. A Public Health Agency of Canada web-portal provides summaries of these data from 1924–2023, but lacks details on how incidence varies seasonally and geographically among provinces. The sub-annual (weekly, monthly, quarterly) and sub-national (provincial, territorial) data required to study such patterns app…

  • Canada’s provincial Covid-19 pandemic modelling efforts

    Open Access•Yiqing Xia, Jorge Luis Flores Anato et al.•ARTICLE•Canadian Journal of Public Health•2024

  • From science to politics

    Open Access•Chyun-Fung Shi, Matthew So et al.•ARTICLE•BMC Public Health•2022

    Our study suggests that a transition of focus from science to politics on social media intensified the COVID-19 infodemic and may have weakened mitigation measures during the first waves of the COVID-19 pandemic. It is recommended that authorities should consider co-operating with reputable social media influencers to promote health campaigns and improve health literacy. In addition, given high levels of globalization of social platforms and pola…

  • Age-dependence of healthcare interventions for Covid-19 in Ontario, Canada

    Open Access•Irena Papst, Michael J Li et al.•ARTICLE•BMC Public Health•2021

    Our study demonstrates a significant need for hospitalization in middle-aged individuals and young seniors. This need is not captured by the distribution of deaths, which is heavily concentrated in very old ages. The probability of survival given hospitalization for COVID-19 is lower than is generally perceived for patients over 40. If acute care capacity is exceeded due to an increase in COVID-19 prevalence, the distribution of deaths could expa…

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

    Open Access•Michael J Li, Michael Li et al.•ARTICLE•BMC Public Health•2019

    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

  • Determinants of Influenza Mortality Trends

    Open Access•Enrique Acosta, Stacey A Hallman et al.•ARTICLE•Demography•2019•Cited by: 2•References: 68

    This study examines the roles of age, period, and cohort in influenza mortality trends over the years 1959–2016 in the United States. First, we use Lexis surfaces based on Serfling models to highlight influenza mortality patterns as well as to identify lingering effects of early-life exposure to specific influenza virus subtypes (e.g., H1N1, H3N2). Second, we use age-period-cohort (APC) methods to explore APC linear trends and identify changes in…

  • Yersinia pestis and the Plague of Justinian 541–543 AD

    Open Access•David M Wagner, Jennifer Klunk et al.•ARTICLE•The Lancet Infectious Diseases•2014

  • A draft genome of Yersinia pestis from victims of the Black Death

    Open Access•Kirsten I Bos, Verena J Schuenemann et al.•ARTICLE•Nature•2011

    The latest DNA recovery and sequencing technologies have been used to reconstruct the genome of the Yersinia pestis bacterium responsible for the Black Death pandemic of bubonic plague that spread across Europe in the fourteenth century. The genome was pieced together from total DNA extracted from the skeletal remains of four individuals excavated from a large cemetery on the site of the Royal Mint in East Smithfield in London, where more than 2,…

  • Determinants of Influenza Mortality Trends

    Open Access•Enrique Acosta, Stacey A Hallman et al.•ARTICLE•Demography•2019•Cited by: 2•References: 68

    This study examines the roles of age, period, and cohort in influenza mortality trends over the years 1959–2016 in the United States. First, we use Lexis surfaces based on Serfling models to highlight influenza mortality patterns as well as to identify lingering effects of early-life exposure to specific influenza virus subtypes (e.g., H1N1, H3N2). Second, we use age-period-cohort (APC) methods to explore APC linear trends and identify changes in…

  • A draft genome of Yersinia pestis from victims of the Black Death

    Open Access•Kirsten I Bos, Verena J Schuenemann et al.•ARTICLE•Nature•2011

    The latest DNA recovery and sequencing technologies have been used to reconstruct the genome of the Yersinia pestis bacterium responsible for the Black Death pandemic of bubonic plague that spread across Europe in the fourteenth century. The genome was pieced together from total DNA extracted from the skeletal remains of four individuals excavated from a large cemetery on the site of the Royal Mint in East Smithfield in London, where more than 2,…

  • Yersinia pestis and the Plague of Justinian 541–543 AD

    Open Access•David M Wagner, Jennifer Klunk et al.•ARTICLE•The Lancet Infectious Diseases•2014

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

    Open Access•Michael J Li, Michael Li et al.•ARTICLE•BMC Public Health•2019

    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

  • Determinants of Influenza Mortality Trends

    Open Access•Enrique Acosta, Stacey A Hallman et al.•ARTICLE•Demography•2019•Cited by: 2•References: 68

    This study examines the roles of age, period, and cohort in influenza mortality trends over the years 1959–2016 in the United States. First, we use Lexis surfaces based on Serfling models to highlight influenza mortality patterns as well as to identify lingering effects of early-life exposure to specific influenza virus subtypes (e.g., H1N1, H3N2). Second, we use age-period-cohort (APC) methods to explore APC linear trends and identify changes in…

  • Age-dependence of healthcare interventions for Covid-19 in Ontario, Canada

    Open Access•Irena Papst, Michael J Li et al.•ARTICLE•BMC Public Health•2021

    Our study demonstrates a significant need for hospitalization in middle-aged individuals and young seniors. This need is not captured by the distribution of deaths, which is heavily concentrated in very old ages. The probability of survival given hospitalization for COVID-19 is lower than is generally perceived for patients over 40. If acute care capacity is exceeded due to an increase in COVID-19 prevalence, the distribution of deaths could expa…

  • From science to politics

    Open Access•Chyun-Fung Shi, Matthew So et al.•ARTICLE•BMC Public Health•2022

    Our study suggests that a transition of focus from science to politics on social media intensified the COVID-19 infodemic and may have weakened mitigation measures during the first waves of the COVID-19 pandemic. It is recommended that authorities should consider co-operating with reputable social media influencers to promote health campaigns and improve health literacy. In addition, given high levels of globalization of social platforms and pola…

  • Canada’s provincial Covid-19 pandemic modelling efforts

    Open Access•Yiqing Xia, Jorge Luis Flores Anato et al.•ARTICLE•Canadian Journal of Public Health•2024

  • A century of weekly notifiable disease incidence data by province in Canada

    Open Access•David J D Earn, Gabrielle MacKinnon et al.•ARTICLE•PLOS Global Public Health•2025

    Canadian notifiable disease surveillance programmes have recorded communicable disease incidence data, dating back to the late 19th century. A Public Health Agency of Canada web-portal provides summaries of these data from 1924–2023, but lacks details on how incidence varies seasonally and geographically among provinces. The sub-annual (weekly, monthly, quarterly) and sub-national (provincial, territorial) data required to study such patterns app…

Medicine (6 works) · Public health (5 works) · COVID-19 epidemiological studies (4 works) · Demography (4 works) · Geography (4 works) · Pandemic (4 works) · Biostatistics (3 works) · Coronavirus disease 2019 (COVID-19 (3 works) · Demography (3 works) · Internal Medicine (3 works)

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