My work focuses on improving and developing mathematical models to estimate the contribution of different sources of risk to HIV incidence in a range of populations and settings. I am especiially interested in undertanding the HIV epidemic among key populations to better inform prevention programmes. Previously my work focused on the key populations of Latin America and involved developing mathematical models to study the epidemic among prison inmates in Peru and to investigate the potential impact of pre-exposure prophylaxis among men who have sex with men in Lima.
et al., 2021, Identifying counties at risk of high overdose mortality burden throughout the emerging fentanyl epidemic in the united states: a predictive statistical modeling study, The Lancet Public Health, ISSN:2468-2667
et al., 2021, Is hepatitis C virus (HCV) elimination achievable among people who inject drugs in Tijuana, Mexico? A modeling analysis, International Journal of Drug Policy, Vol:88, ISSN:0955-3959
et al., 2020, Integrating HIV pre-exposure prophylaxis and harm reduction among men who have sex with men and transgender women to address intersecting harms associated with stimulant use: a modelling study, Journal of the International Aids Society, Vol:23
et al., 2020, Modelling integrated antiretroviral treatment and harm reduction services on HIV and overdose among people who inject drugs in Tijuana, Mexico, Journal of the International Aids Society, Vol:23
et al., 2019, Responding to global stimulant use: challenges and opportunities, Lancet, Vol:394, ISSN:0140-6736, Pages:1652-1667