Mathematical Modeling for HIV Planning

Mathematical models utilize public health data to create multiple simulated scenarios to test theories of prevention and treatment. These models can be used to plan, implement and support the comprehensive and integrated HIV surveillance and prevention programs of health departments and community organizations nationwide to prevent new HIV infections, improve health outcomes for persons living with HIV (PLWH), achieve and sustain viral suppression for PLWH, reduce health-related disparities, guide HIV prevention efforts, and ultimately end the HIV epidemic.

Led by David Champredon of York University’s Agent Based Modeling Lab, this webinar and presentation slides focus on ways mathematical modeling guide the development of HIV strategic response, program planning, and policy.

 
 
Ivory Howard