EARLY WARNING AND PREDICTION OF SCARLET FEVER IN CHINA USING THE BAIDU SEARCH INDEX AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE WITH EXPLANATORY VARIABLE (ARIMAX) MODEL: TIME SERIES ANALYSIS

Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis

BackgroundInternet-derived data and the autoregressive integrated moving average (ARIMA) and ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance.However, the effectiveness of the Baidu search index (BSI) in predicting the incidence of scarlet fever remains uncertain.ObjectiveOur objective was to

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Approach to Strain Selection and the Propagation of Viral Stocks for Venezuelan Equine Encephalitis Virus Vaccine Efficacy Testing under the Animal Rule

Licensure of a vaccine to protect against aerosolized Venezuelan equine encephalitis virus (VEEV) requires use of the U.S.Food and Drug Administration (FDA) Animal Rule to assess vaccine Coats efficacy as human studies are not feasible or ethical.An approach to selecting VEEV challenge strains for use under the Animal Rule was developed, taking int

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