Emergency Medicine Commons^™

The Frequency Of Influenza And Bacterial Co-Infection: A Systematic Review And Meta-Analysis., Eili Y. Klein, Bradley Monteforte, Alisha Gupta, Wendi Jiang, Larissa May, Yu-Hsiang Hsieh, Andrea Freyer Dugas

Emergency Medicine Faculty Publications

AIM: Co-infecting bacterial pathogens are a major cause of morbidity and mortality in influenza. However, there remains a paucity of literature on the magnitude of co-infection in influenza patients.

METHOD: A systematic search of MeSH, Cochrane Library, Web of Science, SCOPUS, EMBASE, and PubMed was performed. Studies of humans in which all individuals had laboratory confirmed influenza, and all individuals were tested for an array of common bacterial species, met inclusion criteria.

RESULTS: Twenty-seven studies including 3,215 participants met all inclusion criteria. Common etiologies were defined from a subset of eight articles. There was high heterogeneity in the results (I(2) …

Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits., Joseph Jeffrey Klembczyk, Mehdi Jalalpour, Scott Levin, Raynard E Washington, Jesse M. Pines, Richard E Rothman, Andrea Freyer Dugas

Emergency Medicine Faculty Publications

BACKGROUND: Influenza is a deadly and costly public health problem. Variations in its seasonal patterns cause dangerous surges in emergency department (ED) patient volume. Google Flu Trends (GFT) can provide faster influenza surveillance information than traditional CDC methods, potentially leading to improved public health preparedness. GFT has been found to correlate well with reported influenza and to improve influenza prediction models. However, previous validation studies have focused on isolated clinical locations.

OBJECTIVE: The purpose of the study was to measure GFT surveillance effectiveness by correlating GFT with influenza-related ED visits in 19 US cities across seven influenza seasons, and to …