Global analysis of a mathematical model for Hepatitis C virus transmissions

Optimal neuro‐fuzzy control of hepatitis C virus integrated by genetic algorithm

“…This model is used to predict the spread of HCV in China and its validity is verified using yearly data between 2003 and 2010. Shi and Cui [7] developed a mathematical system of HCV epidemic and analysed its stability. What makes this work distinct from the previous literature is its realistic features such as partial immunity and reinfection of HCV transmission.…”

“…The immunity that keeps safe against infection cannot be induced, so developing an effective HCV vaccine is very challenging [4]. Despite these difficulties, seven genotypes and 67 subtypes of HCV have been found around the world [7] and scientists are trying to produce a vaccine for controlling the disease [8]. However, the current drug therapies are ineffective in completely eradicating the disease, but treatment for hepatitis C does exist [3] and rapid developments in therapeutic regimens could make significant changes in the treatment of HCV infection over the next few years [9].…”

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

“…At present, mathematical models are an effective method to evaluate the transmissibility of various infectious diseases, predict future morbidity, and evaluate the effectiveness of prevention and treatment [9][10][11][12][13][14][15][16].…”

“…There are a few model studies on hepatitis C; Curve regression model, SEACR dynamic model and multi-stage SEIR model, which are widely used [11,[17][18][19]. Our previous study explored the principle of a Susceptiblehttps://www.cambridge.org/core/terms.…”

“…Currently, mathematical models are an effective method to evaluate the transmissibility of various infectious diseases, predict future morbidity and evaluate the effectiveness of prevention and treatment [9–16]. There are a few model studies on hepatitis C; curve regression model, SEACR dynamic model and multi-stage SEIR model, which are widely used [11, 17–19]. Our previous study explored the principle of a susceptible-infectious-chronic-recovered (SICR) model, and used the next-generation matrix approach to deduce the equation of the basic reproduction number ( R 0 ) of hepatitis C [9].…”