Cargando…
Using Surveillance Data to Identify Risk Factors for Severe H1N1 in First Nations
OBJECTIVE: We sought to measure from surveillance data the effect of proximity to an urban centre (rurality) and other risk factors, (e.g., age, residency on a FN reservation, and pandemic wave) on hospitalization and intensive care unit admission for severe influenza. INTRODUCTION: Research has sho...
Autores principales: | Morrison, Kathryn, Xiao, Yanyu, Moghadas, Seyed, Buckeridge, David |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Illinois at Chicago Library
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692887/ |
Ejemplares similares
-
Advancing Surveillance Outside the USA: The Canadian Policy, Practice, and Research Context
por: Gournis, Effie, et al.
Publicado: (2013) -
A Framework for Detecting and Classifying Outbreaks of Gastrointestinal Disease
por: Morrison, Kathryn, et al.
Publicado: (2013) -
Who’s Not Coming to Dinner? Evaluating Trends in Online Restaurant Reservations for Outbreak Surveillance
por: Nsoesie, Elaine O., et al.
Publicado: (2013) -
Use of a Real-Time Syndromic Surveillance System to Improve Influenza Like Illness Screening and Documentation in Emergency Departments during the H1N1 Pandemic
por: Meurer, David, et al.
Publicado: (2013) -
Enhanced Surveillance during the Democratic National Convention, Charlotte, NC
por: Deyneka, Lana, et al.
Publicado: (2013)