Role of transmission modeling in HIV and viral hepatitis research
Monday, December 10, 2018, 12:30, classroom Ce
This seminar is held within the course of "Network science" for the MS Degree in ICT for Internet and multimedia, but is open to students of
HIV and viral hepatitis are major public health challenges worldwide: in 2017, 940,000 people died from AIDS and 1.46 milions from HBV or HCV sequelae.
HBV, HCV and HIV are different viruses sharing similar transmission routes (sexual transmission, blood exchange, intravenous drug use and mother-to-child transmission).
Specific prevention and treatment options are available for each of these viruses: HBV can be prevented by a high effective vaccine and treated with lifelong therapy; no vaccination is yet available for HCV and HIV, but a short course of antiviral treatment can cure >98% of HCV-infected person and a pharmacological pre-exposure prophylaxis can reduce the risk to get HIV close to 0%; anti-HIV drugs can block progression to AIDS and eliminate the risk of transmission to sexual partners.
World Health Organisation set some goals in order to end AIDS epidemics by 2020: 90% of people living with HIV diagnosed, 90% of diagnosed patient receiving treatment and 90% of treated patient achieving viral suppression.
Goals for viral hepatitis elimination (to be reached by 2030) are: 90% of newborns and infants vaccinated for HBV, 90% of HBV and HCV diagnosed and 80% of HBV or HCV patient eligible for treatment treated.
In order to reach these goals, a better knowledge of transmission patterns, especially among key population (men who have sex with men, immigrants, intravenous drug users) is needed; mathematical models play a crucial role in understanding these dynamics and planning public health interventions.