Forecasting influenza epidemics in China using transmission dynamic model with absolute humidity.

ABSTRACT:

Background

An influenza forecasting system is critical to influenza epidemic preparedness. Low temperature has long been recognized as a condition favoring influenza epidemic, yet it fails to justify the summer influenza peak in tropics/subtropics. Recent studies have suggested that absolute humidity (AH) had a U-shape relationship with influenza survival and transmission across climate zones, indicating that a unified influenza forecasting system could be established for China with various climate conditions.

Methods

Our study has generated weekly influenza forecasts by season and type/subtype in northern and southern China from 2011 to 2021, using a forecasting system combining an AH-driven susceptible-infected-recovered-susceptible (SIRS) model and the ensemble adjustment

SUBMITTER: Chen X 

PROVIDER: S-EPMC11419822 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature