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The transmissibility of hepatitis C virus: a modelling study in Xiamen City, China

Yao Wang, Zeyu Zhao, Mingzhai Wang, Mikah Ngwanguong Hannah, Qingqing Hu, Jia Rui, Xingchun Liu, Yuanzhao Zhu, Jingwen Xu, Meng Yang, Jinǵan Cui, Yanhua Su, Benhua Zhao, Tianmu Chen

2020Epidemiology and Infection14 citationsDOIOpen Access PDF

Abstract

This study aimed at estimating the transmissibility of hepatitis C. The data for hepatitis C cases were collected in six districts in Xiamen City, China from 2004 to 2018. A population-mixed susceptible-infectious-chronic-recovered (SICR) model was used to fit the data and the parameters of the model were calculated. The basic reproduction number (R0) and the number of newly transmitted cases by a primary case per month (MNI) were adopted to quantitatively assess the transmissibility of hepatitis C virus (HCV). Eleven curve estimation models were employed to predict the trends of R0 and MNI in the city. The SICR model fits the reported HCV data well (P < 0.01). The median R0 of each district in Xiamen is 0.4059. R0 follows the cubic model curve, the compound curve and the power function curve. The median MNI of each district in Xiamen is 0.0020. MNI follows the cubic model curve, the compound curve and the power function curve. The transmissibility of HCV follows a decreasing trend, which reveals that under the current policy for prevention and control, there would be a high feasibility to eliminate the transmission of HCV in the city.

Topics & Concepts

Transmissibility (structural dynamics)PopulationHepatitis C virusArea under the curveTransmission (telecommunications)VirologyMedicineVirusStatisticsMathematicsEnvironmental healthInternal medicinePhysicsTelecommunicationsComputer scienceVibration isolationQuantum mechanicsVibrationHepatitis C virus researchLiver Disease Diagnosis and TreatmentHepatitis B Virus Studies
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