ArticleEpidemiology and infection2020
The transmissibility of hepatitis C virus: a modelling study in Xiamen City, China.
Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Fractional order modeling of hepatitis C transmission dynamics with physics-informed neural network solutions.BMC infectious diseases · 2026Article
- Impact and cost-effectiveness of interventions to eliminate hepatitis C virus among people who inject drugs in Haiphong, Vietnam.The International journal on drug policy · 2025Article
- HCV transmission model with protection awareness in an SEACTR community.Infectious Disease Modelling · 2025Article
- Epidemiological trends of hepatitis C incidence and death in Mainland China between 2004 and 2018 and its predictions to 2030.BMC infectious diseases · 2025Article
- Epidemiological characteristics and spatiotemporal distribution of hepatitis C in southeast coastal areas of China from 2015 to 2022.BMC infectious diseases · 2025Article
- Modeling the effects of treatment adherence challenges on the transmission dynamics of hepatitis C virus.PloS one · 2025Article
- A mathematical model of HCV transmission dynamics with sex stratification and environmental effects.PloS one · 2025Article
- Theoretical Epidemiology Needs Urgent Attention in China.China CDC weekly · 2024Article
- Hepatitis C Virus Dynamic Transmission Models Among People Who Inject Drugs.Infection and drug resistance · 2023Review
- ComputingInfectious Disease Modelling · 2022Article
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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