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Showing results (81-90 of 92) with videos related to

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The Lancet. Infectious Diseases|May 14, 2016
Testing the hypothesis that treatment can eliminate HIV: a nationwide, population-based study of the Danish HIV epidemic in men who have sex with menJustin T Okano, Danielle Robbins, Laurence Palk, et al.
Nature Medicine|March 15, 2025
Extreme geographic misalignment of healthcare resources and HIV treatment deserts in MalawiJoan Ponce, Justin T Okano, Andrea Low, et al.
Communications Medicine|May 12, 2025
Analysis of travel-time to HIV treatment in sub-Saharan Africa reveals inequities in access to antiretroviralsJustin T Okano, Andrea Low, Luckson Dullie, et al.
Nature Communications|December 3, 2014
Using geospatial modelling to optimize the rollout of antiretroviral-based pre-exposure HIV interventions in Sub-Saharan AfricaDavid J Gerberry, Bradley G Wagner, J Gerardo Garcia-Lerma, et al.
AIDS (London, England)|January 20, 2025
The future of HIV: challenges in meeting the 2030 Ending the HIV Epidemic in the US (EHE) reduction goalAmanda M Bleichrodt, Justin T Okano, Isaac C H Fung, et al.
Science (New York, N.Y.)|January 16, 2010
Evolutionary dynamics of complex networks of HIV drug-resistant strains: the case of San FranciscoRobert J Smith, Justin T Okano, James S Kahn, et al.
Medrxiv : the Preprint Server for Health Sciences|February 13, 2023
Population mobility and the development of Botswana's generalized HIV epidemic: a network analysisJanet Song, Justin T Okano, Joan Ponce, et al.
Elife|September 4, 2023
The role of migration networks in the development of Botswana's generalized HIV epidemicJanet Song, Justin T Okano, Joan Ponce, et al.
The Lancet. Infectious Diseases|March 21, 2008
Infectious syphilis in high-income settings in the 21st centuryKevin A Fenton, Romulus Breban, Raffaele Vardavas, et al.
Scientific Reports|September 19, 2015
Corrigendum: Modeling dynamic interactions between pre-exposure prophylaxis interventions &treatment programs: predicting HIV transmission &resistanceVirginie Supervie, Meagan Barrett, James S Kahn, et al.
Pageof 10

Showing results (81-90 of 92) with videos related to

Sort By:
Pageof 10
The Lancet. Infectious Diseases|May 14, 2016
Testing the hypothesis that treatment can eliminate HIV: a nationwide, population-based study of the Danish HIV epidemic in men who have sex with menJustin T Okano, Danielle Robbins, Laurence Palk, et al.
Nature Medicine|March 15, 2025
Extreme geographic misalignment of healthcare resources and HIV treatment deserts in MalawiJoan Ponce, Justin T Okano, Andrea Low, et al.
Communications Medicine|May 12, 2025
Analysis of travel-time to HIV treatment in sub-Saharan Africa reveals inequities in access to antiretroviralsJustin T Okano, Andrea Low, Luckson Dullie, et al.
Nature Communications|December 3, 2014
Using geospatial modelling to optimize the rollout of antiretroviral-based pre-exposure HIV interventions in Sub-Saharan AfricaDavid J Gerberry, Bradley G Wagner, J Gerardo Garcia-Lerma, et al.
AIDS (London, England)|January 20, 2025
The future of HIV: challenges in meeting the 2030 Ending the HIV Epidemic in the US (EHE) reduction goalAmanda M Bleichrodt, Justin T Okano, Isaac C H Fung, et al.
Science (New York, N.Y.)|January 16, 2010
Evolutionary dynamics of complex networks of HIV drug-resistant strains: the case of San FranciscoRobert J Smith, Justin T Okano, James S Kahn, et al.
Medrxiv : the Preprint Server for Health Sciences|February 13, 2023
Population mobility and the development of Botswana's generalized HIV epidemic: a network analysisJanet Song, Justin T Okano, Joan Ponce, et al.
Elife|September 4, 2023
The role of migration networks in the development of Botswana's generalized HIV epidemicJanet Song, Justin T Okano, Joan Ponce, et al.
The Lancet. Infectious Diseases|March 21, 2008
Infectious syphilis in high-income settings in the 21st centuryKevin A Fenton, Romulus Breban, Raffaele Vardavas, et al.
Scientific Reports|September 19, 2015
Corrigendum: Modeling dynamic interactions between pre-exposure prophylaxis interventions &treatment programs: predicting HIV transmission &resistanceVirginie Supervie, Meagan Barrett, James S Kahn, et al.
Pageof 10