Rotavirus Seasonality: An Application of Singular Spectrum Analysis and Polyharmonic Modeling.

ABSTRACT: The dynamics of many viral infections, including rotaviral infections (RIs), are known to have a complex non-linear, non-stationary structure with strong seasonality indicative of virus and host sensitivity to environmental conditions. However, analytical tools suitable for the identification of seasonal peaks are limited. We introduced a two-step procedure to determine seasonal patterns in RI and examined the relationship between daily rates of rotaviral infection and ambient temperature in cold climates in three Russian cities: Chelyabinsk, Yekaterinburg, and Barnaul from 2005 to 2011. We described the structure of temporal variations using a new class of singular spectral analysis (SSA) models based on the "Caterpillar" algorithm. We then fitted Poisson polyharmonic regression (PPHR) mo

SUBMITTER: Alsova OK 

PROVIDER: S-EPMC6888479 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature