LONG-TIME BEHAVIOR OF STOCHASTIC STAGED PROGRESSION EPIDEMIC MODEL WITH HYBRID SWITCHING FOR THE TRANSMISSION OF HIV | Zendy

Songnan Liu | Zendy; Xiaojie Xu | Zendy; Zhangyi Dong | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

LONG-TIME BEHAVIOR OF STOCHASTIC STAGED PROGRESSION EPIDEMIC MODEL WITH HYBRID SWITCHING FOR THE TRANSMISSION OF HIV

Author(s) -

Songnan Liu,

Xiaojie Xu,

Zhangyi Dong

Publication year - 2022

Publication title -

journal of applied analysis and computation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.55

H-Index - 21

eISSN - 2158-5644

pISSN - 2156-907X

DOI - 10.11948/20210085

Subject(s) - stationary distribution , ergodic theory , extinction (optical mineralogy) , transmission (telecommunications) , mathematics , stability (learning theory) , epidemic model , human immunodeficiency virus (hiv) , distribution (mathematics) , statistical physics , control theory (sociology) , computer science , medicine , markov chain , virology , statistics , mathematical analysis , biology , physics , population , artificial intelligence , telecommunications , environmental health , control (management) , machine learning , paleontology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research