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A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation

A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation

We build models for diseases such as influenza, respiratory syncytial virus (RSV), human metapneumovirus (h MPV), and parainfluenza (PIV) using data from 5 EDs in Allegheny County, Pennsylvania, from June 1, 2010, to May 31, 2014. We then present initial experiments on how well it can track those diseases from June 1, 2014, to May 31, 2015. Finally, we present a preliminary investigation of an algorithm based on the ILI Tracker for detecting the presence of an unmodeled disease.

John M Aronis, Ye Ye, Jessi Espino, Harry Hochheiser, Marian G Michaels, Gregory F Cooper

JMIR Public Health Surveill 2024;10:e57349

Body Mass Index Screening and Follow-Up: A Cross-Sectional Questionnaire Study of Pennsylvania School Nurses

Body Mass Index Screening and Follow-Up: A Cross-Sectional Questionnaire Study of Pennsylvania School Nurses

Pennsylvania (PA) is 1 out of 11 states requiring BMI screening and BMI result reporting to parents or guardians [14]. Therefore, this study, focusing on PA school nurse BMI screenings, will provide insight into the efficacy and follow through of the school’s role in childhood obesity prevention.

Erica Francis, Alicia Marie Hoke, Jennifer Lynn Kraschnewski

Interact J Med Res 2018;7(2):e11619