Papers & Publications
Feasibility of self-testing for acute malaria using rapid diagnostic tests in three peri-urban sub-Saharan African community settings
Brumwell, A., Bemer, M., Lauff, A., Morton, J. F., Thomas, K. K., Moe, C. A., Cooper, S., Humphries, H., Sharma, A., Pollard, D., Kwena, Z., Sang, N., Winters, A., van Heerden, A., Bukusi, E., Rech, D., & Drain, P. Feasibility of self-testing for acute malaria using rapid diagnostic tests in three peri-urban sub-Saharan African community settings. Malaria Journal, Dec 2025; 24(1), 449. DOI: 10.1186/s12936-025-05727-6
How AI and data can change the fight against Malaria in Kenya
Author: Dr. Lisette Schutte, Solution Lead Epidemic Preparedness, PharmAccess, How AI and data can change the fight against Malaria in Kenya, PharmAccess, Nov 4, 2025
Artificial Intelligence to Connect Private Sector Malaria Diagnosis and Case Reporting in Kisumu County, Kenya
Naomy Onyuka, Lisette Schutte, Nathalie Houben, Alloys K’oloo, Felix Bahati, Lilyana Dayo, Tobias F. Rinke de Wit, Artificial Intelligence to Connect Private Sector Malaria Diagnosis and Case Reporting in Kisumu County, Kenya. AI In Health Africa Conference, Nov 5, 2025
Assessing accuracy and performance: of recording mRDT results, result stability over time, and AI RDT reading, a collection of publications from a 4-country study in Africa
Publication collection for a 4-country operational research study in Benin, Nigeria, Uganda, andCote d'Ivoire. View full collection , BMC, Springer Nature November 2025
Highlighted paper: Lindblade, K.A., Mpimbaza, A., Ngufor, C. et al. Assessing the accuracy of the recording and reporting of malaria rapid diagnostic test results in four African countries: methods and key results.Malar J24, 206 (2025). https://doi.org/10.1186/s12936-025-05459-7
Malaria RDT (mRDT) interpretation accuracy by frontline health workers compared to AI in Kano state, Nigeria
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. BMC Digit Health 3, 50 (2025). https://doi.org/10.1186/s44247-025-00190-4
Artificial intelligence (AI)-driven rapid diagnostic test interpretation in a Connected Diagnostics (ConnDx) system for dynamic malaria surveillance
Bahati, F., Owuor, K., Milimo, E., Onyuka, N., K’Oloo, A., Koyuncu, C., Gomez, P., Maricich, N., Frade, S., Smedinghoff, S., Schutte, L., Houben, N., Owino, W., Dayoo, L., Ganda, G., Kariuki, S., Reboud, J., Cooper, J., de Wit, T. Artificial intelligence (AI)-driven rapid diagnostic test interpretation in a Connected Diagnostics (ConnDx) system for dynamic malaria surveillance. BMC Digit Health 3, 62 (2025). https://doi.org/10.1186/s44247-025-00197-x
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
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)
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
Pilot Results: Elephant Health Nigeria, AI-powered malaria case management
Author: Jonathan Dola-Timothy, Elephant Nigeria, July 2024, Elephant Partners with Audere to increase testing rates for malaria, full Case Study here
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
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.
Transforming Rapid Diagnostic Tests into Trusted Diagnostic Tools in LMIC using AI
Krishnam Gupta, Yongshao Ruan, Ahmed Ibrahim, Rouella Mendonca, Shawna Cooper, Sarah Morris, and David Hattery, "Transforming Rapid Diagnostic Tests into Trusted Diagnostic Tools in LMIC using AI", 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 306-308, doi: 10.1109/CAI54212.2023.00136.