Kalman-based compartmental estimation for covid-19 pandemic using advanced epidemic model.

ABSTRACT: The practicality of administrative measures for covid-19 prevention is crucially based on quantitative information on impacts of various covid-19 transmission influencing elements, including social distancing, contact tracing, medical facilities, vaccine inoculation, etc. A scientific approach of obtaining such quantitative information is based on epidemic models of SIR family. The fundamental SIR model consists of S-susceptible, I-infected, and R-recovered from infected compartmental populations. To obtain the desired quantitative information, these compartmental populations are estimated for varying metaphoric parametric values of various transmission influencing elements, as mentioned above. This paper introduces a new model, named SEIRRPV model, which, in addition to the S and I popula

SUBMITTER: Nanda SK 

PROVIDER: S-EPMC9968492 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature