EPC148 Modelling how strengthening HIV prevention cascade could impact the HIV epidemic in Manicaland, ZimbabweE-posterModelling the impact of prevention strategies on the HIV epidemic
EPC149 Rethinking resources for HIV prevention: the need for couples-based testing in ZambiaE-posterModelling the impact of prevention strategies on the HIV epidemic
EPC150 Population-level impact of expanding PrEP coverage among men who have sex with men with long-acting injectable cabotegravir: model comparison analysis for Atlanta, US and Montreal, CanadaE-posterModelling the impact of prevention strategies on the HIV epidemic
EPC151 The role of HIV pre-exposure prophylaxis (PrEP) in reaching UNAIDS HIV incidence reduction goals among men who have sex with men (MSM) and transgender women (TGW) in Peru by 2030E-posterModelling the impact of prevention strategies on the HIV epidemic
EPC152 The population impact of herpes simplex virus type 2 (HSV-2) vaccination on HIV, HSV-2 and genital ulcer disease in South Africa: a mathematical modelling studyE-posterModelling the impact of prevention strategies on the HIV epidemic
EPC153 The contribution of binge drinking and inequitable gender norms to HIV transmission in South AfricaE-posterModelling the role of syndemics on the HIV epidemic
EPC154 What is the best policy option for Indonesia to eliminate AIDS in 2030?: The Investment Case Analysis considerationE-posterModelling future healthcare needs
EPC155 Closing the gaps in the continuum of depression care among persons with HIV: modeling the impact on viral load suppression in the United StatesE-posterModelling the impact of service models on the HIV epidemic
EPC156 Testing strategies to achieve the goal of 95% knowledge of status by 2025E-posterModelling the impact of service models on the HIV epidemic
EPC157 Comparing the characteristics of Brazilian gay, bisexual and other cisgender men who have sex with men (MSM) according to recruitment strategy: online approach as an useful tool during COVID-19 pandemicE-posterReaching and recruiting key populations for HIV prevention services (online, offline, online-to-offline)
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