
Papers & Publications
Online delivery of oral HIV pre- and post-exposure prophylaxis: findings from the ePrEP Kenya pilot
Kiptinness, C., Naik, P., Kareithi, T., Thuo, N., Okello, P., Culquichicon, C., Rafferty, M., Abdulrashid, S., Jomo, E., Nyamasyo, N., Wood, T., Mendonca, R., Malen, R.C., Dettinger, J.C., Pintye, J., Mwangi, J., Stergachis, A., Onentia, J., Curran, K., Mugambi, M.L., Were, D., Ngure, K., Sharma, M., Ortblad, K.F. and (2025), Online delivery of oral HIV pre- and post-exposure prophylaxis: findings from the ePrEP Kenya pilot. J Int AIDS Soc., 28: e26468. https://doi.org/10.1002/jia2.26468
Reimagining HIV prevention with artificial intelligence
Jirair Ratevosian, Michael Reid, Zhao Ni, Rouella Mendonca, Robyn Eakle , Cheryl Johnson, Izukanji Sikazwe, Meshack Ndirangu, Solange Baptiste, Linda-Gail Bekker, “Reimagining HIV prevention with artificial intelligence”, 11 June, 2025, The Lancet HIV, Volume 0, Issue 0
Assessing the accuracy of the recording and reporting of malaria rapid diagnostic test results in four African countries: Methods and key results
Kim A. Lindblade, Arthur Mpimbaza2, Corine Ngufor, William Yavo, Sunday Atobatele, Ese Akpiroroh, Abibatou Konate-Toure, Idelphonse Ahogni, Nelson Ssewante, Bosco Agaba, Augustin Kpemasse, Jacques Agnon, Onyebuchi Okoro, Godwin Ntadom, Antoine Tanoh, Cyriaque Affoukou, Jimmy Opigo, Shawna Cooper, John J. Aponte, Kevin Griffith, Radina Soebiyanto, Michael Humes, “Assessing the accuracy of the recording and reporting of malaria rapid diagnostic test results in four African countries: Methods and key results”. Malar J 24, 206 (2025). https://doi.org/10.1186/s12936-025-05459-7
Reform and Renewal: Five Recommendations for PEPFAR
Authors: Ratevosian J, Dow D, Ogbuoji O, Okeke L, Yamey G, Beyrer C; Reviewer: Morris S, "Reform and Renewal: Five Recommendations for PEPFAR" Duke Global Health Institute, Policy Brief, Feb 2025
Generative AI for Health in Low & Middle Income Countries
Hunt I, Parkhouse J, Rich L, Jin K, Imam M, Kim J, Posada M, Lopez M, Ugolnik Z, Soule S, Linos E, "Generative AI for Health in Low & Middle Income Countries" Center for Digital Health, Stanford, April 2025
Announcing the Lancet Global Health Commission on artificial intelligence (AI) and HIV: leveraging AI for equitable and sustainable impact
Reid M, Otieno B, van Heerden A, Sikazwe I, Baptiste S, Mendonca R, Tasi G, Sundaram M, "Announcing the Lancet Global Health Commission on artificial intelligence (AI) and HIV: leveraging AI for equitable and sustainable impact" The Lancet Global Health, Volume 13, Issue 4, e611 - e612
HealthPulse AI: Enhancing Diagnostic Trust and Accessibility in Under-Resourced Settings through AI [version 1]
Frade S, Rech D, Mendonca R, Cooper S, Morris S, Lee H, Gupta K, Sihan Li B, Ruan Y, Hattery D, Marucheck M, Isabelli P, "HealthPulse AI: Enhancing Diagnostic Trust and Accessibility in Under-Resourced Settings through AI" [version 1]. VeriXiv 2025, 2:54
(preprint)
Artificial intelligence powers HIV testing services in Kenya
Peabody, Roger, “Artificial intelligence powers HIV testing services in Kenya”, The Lancet HIV, Volume 12, Issue 2, e92 - e93
Digital Insights Into Malaria Testing: Analyzing RDT Challenges in Four African Nations
Cooper S, Frade S, Smedinghoff S, Ibrahim A, Mendonca R, Hattery D, Mpimbaza A, Ssewante N, Ngufor C, Ahogni I, Yavo W, Abibatou K, Orya E, Akpiroroh E, Lindblade K, Humes M, Griffith K, “Digital Insights Into Malaria Testing: Analyzing RDT Challenges in Four African Nations”, 2024 ASTMH Conference, New Orleans, LA, USA
Malaria RDT (mRDT) interpretation accuracy by frontline health workers compared to AI in Kano State, Nigeria [version 1]
Frade S, Cooper S, Smedinghoff S, Hattery D, Ruan Y, Isabelli P, Ravi N, McLaughlin M, Metz L, Finette B, "Malaria RDT (mRDT) interpretation accuracy by frontline health workers compared to AI in Kano State, Nigeria" [version 1]. VeriXiv 2024, 1:3
(preprint)
Improving Confidence and Trust in Private-Sector Telemedicine for HIV PrEP/PEP Delivery with AI in Kenya
Rouella Mendonca, Dino Rech, Sasha Frade, Sarah Morris, Sam Smedinghoff, Ahmed Ibrahim, David Hattery, Katrina F. Ortblad, Daniel Were, Salima Saidi, Samira Abdulrashid, “Improving Confidence and Trust in Private-Sector Telemedicine for HIV PrEP/PEP Delivery with AI”, 2024 IAS Conference, Munich Germany
Online Pharmacy PrEP and PEP: Technical considerations and learnings from Kenya
Beth Balderston, Davina Canagasabey, Ashley Jackson, Samuel Kibonge, and Dr. Christopher Obong'o of PATH, MYDAWA, Jhpiego, Audere, University of Washington, Fred Hutchinson Cancer Center, Kenya Medical Research Institute, Jomo Kenyatta University of Agriculture and Technology, “Online Pharmacy PrEP and PEP: Technical considerations and learnings from Kenya”, PATH Online Publication
Your Choice - Using artificial intelligence (AI) to reduce stigma & improve precision in assessing HIV vulnerability to improve & tailor care
Govathson C, Long L, Rech D, Morris S, Chetty-Makkan C, Li B, Maricich N, Liang R, Simpson-Cupido D, Richard Y, Greener R, Pascoe SJS, “Your Choice - Using artificial intelligence (AI) to reduce stigma & improve precision in assessing HIV vulnerability to improve & tailor care”, 2024 IAS Conference, Munich Germany
PrEP at your doorstep: Revolutionizing HIV prevention for MSM and TGW with courier delivery and a mobile app for seamless access to priority medication
J. Pienaar, R. Rawlinson, V. Ncube, M. Chabane, D. Rech, S. Cooper, “PrEP at your doorstep: Revolutionizing HIV prevention for MSM and TGW with courier delivery and a mobile app for seamless access to priority medication”, 2024 IAS Conference, Munich Germany
Use of a health worker-targeted smartphone app to support quality malaria RDT implementation in Busia County, Kenya: A feasibility and acceptability study
Skjefte M, Cooper S, Poyer S, Lourenço C, Smedinghoff S, Keller B, Wambua T, Odour C, Frade S, Waweru W, "Use of a health worker-targeted smartphone app to support quality malaria RDT implementation in Busia County, Kenya: A feasibility and acceptability study", PLoS ONE 19(3): e0295049. https://doi.org/10.1371/journal.pone.0295049
Measuring the performance of computer vision artificial intelligence to interpret images of HIV self-testing results
Roche Stephanie D. , Ekwunife Obinna I. , Mendonca Rouella , Kwach Benn , Omollo Victor , Zhang Shengruo , Ongwen Patricia , Hattery David , Smedinghoff Sam , Morris Sarah , Were Daniel , Rech Dino , Bukusi Elizabeth A. , Ortblad Katrina F., "Measuring the performance of computer vision artificial intelligence to interpret images of HIV self-testing result", 2024, Frontiers in Public Health, Vol 12, 1334881
Digitally-Enhanced Rapid Malaria Testing using Artificial Intelligence (AI) to Support Quality Control with Community Health Workers in Rwanda
Noella Umulisa, Eliab Mwiseneza, Natalie Maricich, Shawna Cooper, Jean Damascene Niyonzima, Michee Kabera, Aimable Mbituyumuremyi, Gladys Tetteh, "Digitally-Enhanced Rapid Malaria Testing Using Artificial Intelligence (AI) to Support Quality Control with Community Health Workers in Rwanda", 2023 ASTMH Conference, Chicago, IL, USA, 2023 Poster Session 6809.
Malaria RDT interpretation accuracy of health workers compared to artificial intelligence (AI) and Panel Read in Kano State, Nigeria
Sasha Frade, Shawna Cooper, Sam Smedinghoff, David Hattery, Yongshao Ruan, Paul Isabelli, Ravi Nirmal, Megan McLaughlin, Lynn Metz, Barry Finette, "Malaria RDT interpretation accuracy of health workers compared to artificial intelligence (AI) and Panel Read in Kano State, Nigeria", 2023 ASTMH Conference, Chicago, IL, USA, 2023 Poster Session 5378.
User Perceptions of a Smartphone-based Malaria Rapid Diagnostic Test (RDT) aid for Community and Private Clinic-based Health Workers in Western Kenya.
Malia Skjefte, Shawna Cooper, Stephen Poyer, Christopher Lourenço, Sam Smedinghoff, Brett Keller, Tonny Wambua, Christine Oduor,Sasha Frade, Wycliffe Waweru, "User Perceptions of a Smartphone-based Malaria Rapid Diagnostic Test (RDT) aid for Community and Private Clinic-based Health Workers in Western Kenya.", 2023 ASTMH Conference, Chicago, IL, USA, 2023 Poster Session 5370.
“Your Choice” - Using artificial intelligence (AI) to reduce stigma & improve precision in HIV risk assessment and reporting of results
Govathson C, Long L, Rech D, Morris S, Chetty-Makkan C, Li B, Maricich N, Liang R, Simpson-Cupido D, Richard Y, Greener R, Pascoe SJS, "Your Choice - Using artificial intelligence (AI) to reduce stigma & improve precision in HIV risk assessment and reporting of results", 2023 Bill & Melinda Gates Foundation Grand Challenges Meeting, Dakar, Senegal, INV-062692.