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Incorporating meteorological factors into a SARIMA model for predicting pediatric influenza epidemics
Abstract Objective: Influenza, a contagious respiratory illness, imposes a substantial global disease burden, underscoring the critical need for timely and accurate surveillance systems. Seasonal Autoregressive Integrated Moving Average (SARIMA) models excel in capturing seasonal patterns and trends of infectious diseases.
Foods | Free Full-Text | Computer-Aided Prediction, Synthesis, and Characterization of Magnetic Molecularly Imprinted Polymers for the Extraction and Determination of Tolfenpyrad in Lettuce
Open AccessArticle by Du Chi 1,2,3, Wei Wang 1,2,3, Shiyin Mu 1,2,3, Shilin Chen 1,2,3 and Kankan Zhang 1,2,3,* 1 National Key Laboratory of Green Pesticide, Guizhou University, Guiyang 550025, China 2 Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China 3 Center for R&D of Fine Chemicals, Guizhou University, Guiyang 550025, China * Author to whom correspondence should be addressed.
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