Global Detection of Respiratory Illness Outbreaks inTravelers: A Statistical Approach using GeoSentinel Data
This study demonstrates that a hybrid autoregressive generalized linear mixed model combined with Shewhart control charts can effectively detect early respiratory illness outbreaks in international travelers using GeoSentinel data, even in the absence of reliable travel volume denominators, as validated by its successful identification of early COVID-19 signals in China during 2020.