High-Impact Weather Types and Characteristics That Induce Severe Influenza Episodes in Langfang, China

To thoroughly investigate the effects of high-impact weather and compound weather types on the triggering of severe influenza outbreaks and to effectively support the implementation of related weather risk forecasting services, methodologies from synoptic meteorology, climatology, medical statistics, time-lag effect, seasonally stratified correlation analysis, and SPSS (IBM SPSS Statistics 25) software were integrated, and severe influenza episodes in Langfang, China, were explored. The research encompasses the collection and processing of meteorological, influenza, and air pollution data; the study and analysis of the characteristics of severe influenza occurrences and associated meteorological conditions; the categorization of high-impact weather types, compound patterns, and their associated influenza distribution characteristics that induce severe influenza episodes; the analysis of the synergistic effects of air pollution coupled with high-impact weather events such as haze on triggering severe influenza; and the assessment of the effects of social prevention and control measures in mitigating severe influenza outbreaks. This study establishes an influenza risk forecasting grade based on high-impact weather classification, providing a scientific reference for the public to defend against influenza.