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

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

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.
https://doi.org/10.5210/ojphi.v5i1.4416
PDF
HTML
Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.