Background The early identification of outbreaks of both known and novel influenza-like illnesses (ILIs) is an important public health problem. Objective This study aimed to describe the design and testing of a tool that detects and tracks outbreaks of both known and novel ILIs. such as the SARS-CoV-2 worldwide pandemic. accurately and early. https://parisnaturalfoodes.shop/product-category/st-johns-wort-oil/
A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation
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