Using Surveillance Data to Identify Risk Factors for Severe H1N1 in First Nations

Authors

  • Kathryn Morrison Epidemiology & Biostatistics, McGill University, Montreal, Quebec, CANADA
  • Yanyu Xiao York University, Toronto, Ontario, CANADA
  • Seyed Moghadas York University, Toronto, Ontario, CANADA
  • David Buckeridge Epidemiology & Biostatistics, McGill University, Montreal, Quebec, CANADA

DOI:

https://doi.org/10.5210/ojphi.v5i1.4416

Abstract

Canadian First Nation (FN) populations were disproportionately effected by the 2009 H1N1 influenza pandemic. We investigate the odds of hospitalization and ICU admissions for cases of H1N1 among FN living in Manitoba, Canada, to assess if location of residency had an effect on access to healthcare services. We use logistic regression to calculate the odds of hospitalization adjusting for age, reservation residency, rurality, and disease wave. We find that FN individuals living on-reserve experienced higher odds of hospitalization than those living elsewhere, even controlling for rurality.

Author Biography

Kathryn Morrison, Epidemiology & Biostatistics, McGill University, Montreal, Quebec, CANADA

Kathryn Morrison is a PhD student in the Epidemiology department at McGill University in Montreal. Her background is in Geographic Information Science and her research interests are in infectious disease surveillance and space-time detection methods.

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Published

2013-03-23

How to Cite

Morrison, K., Xiao, Y., Moghadas, S., & Buckeridge, D. (2013). Using Surveillance Data to Identify Risk Factors for Severe H1N1 in First Nations. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4416

Issue

Section

Oral Presentations: Influenza Surveillance Methods - Research