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

Haoyun Dai, Nan Zhou, Mengxiang Chen, Guoqun Li, Xing Yu, Yi Su, Shanghui Yi, Xiuqin Hong, Meifang Quan, Wenting Zha, Yuan Lv

2022Infection Genetics and Evolution10 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: 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. METHODS: by combined the natural birth rate, natural death rate, infectious rate, proportion of asymptomatic patients, proportion of untreated patients, recovery rate and fatality rate. RESULTS: were 1.67, 1.52, 1.44, 1.56. CONCLUSION: Between 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.

Topics & Concepts

Transmissibility (structural dynamics)Case fatality rateMedicineTransmission (telecommunications)VirologyPublic healthHuman mortality from H5N1Veterinary medicineDemographyInternal medicineEpidemiologyInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)DiseasePathologyVibrationSociologyPhysicsElectrical engineeringQuantum mechanicsEngineeringVibration isolationInfluenza Virus Research StudiesCOVID-19 epidemiological studiesZoonotic diseases and public health
Assess transmissibility of different influenza subtypes: Based on a SEIABR model | Litcius