Modeling the influences of climate conditions on measles transmission in China.

ABSTRACT: Climate conditions are known to modulate infectious disease transmission, yet their impact on measles transmission remains underexplored. In this study, we investigate the extent to which climate conditions modulate measles transmission, utilizing measles incidence data during 2005-2008 from China. Three climate-forced models were employed: a sinusoidal function, an absolute humidity (AH)-forced model, and an AH and temperature (AH/T)-forced model. These models were integrated into an inference framework consisting of a susceptible-exposed-infectious-recovered (SEIR) model and an iterated filter (IF2) to estimate epidemiological characteristics and assess climate influences on measles transmission. During the study period, measles epidemics peaked in spring in northern China and were more

SUBMITTER: Wang P 

PROVIDER: S-EPMC12529438 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature