Assess transmissibility of different influenza subtypes: Based on a SEIABR model

Autor:	Haoyun Dai, Nan Zhou, Mengxiang Chen, Guoqun Li, Xing Yu, Yi Su, Shanghui Yi, Xiuqin Hong, Meifang Quan, Wenting Zha, Yuan Lv
Rok vydání:	2022
Předmět:	Microbiology (medical) China Infectious Diseases Influenza A Virus H1N1 Subtype Influenza A Virus H3N2 Subtype Influenza Human Genetics Humans Public Health Molecular Biology Microbiology Ecology Evolution Behavior and Systematics
Zdroj:	Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases. 103
ISSN:	1567-7257
Popis:	Influenza is a worldwide public health problem which causes a serious economic and health burden. In order to provide a scientific basis for improving the prevention and control level of influenza, using dynamic model to evaluate the infection rates of influenza different subtypes from 2010 to 2019 in China.This article established SEIABR model based on influenza cases reported by China National Influenza Center from 2010 to 2019. And calculated the transmission rate and RThe average infection rate of influenza was (2.38 ± 0.59) × 10Between each year, flu transmission capacity had fluctuation. Influenza A was more transmissible than influenza B, and during the major subtypes, influenza A/H1N1 was the most transmissible.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1daf56467faba061d1265970a8a0b07d https://pubmed.ncbi.nlm.nih.gov/35752386 Zobrazit plný text záznamu Full Text from ScienceDirect