Stringer, Jeffrey S. A.
University of North Carolina at Chapel Hill
9 papers on CoChatORCID 0000-0002-9590-7216
Most cited papers
- Verified
HIV incidence among women using intramuscular depot medroxyprogesterone acetate, a copper intrauterine device, or a levonorgestrel implant for contraception: a randomised, multicentre, open-label trial.
Ahmed, K., Baeten, J. M., Beksinska, M., Bekker, L.-G., Bukusi, E. A., Donnell, D., Gichangi, P. B., Heller, K. B., Hofmeyr, G. J., Justman, J., et al. (2019) · The Lancet
Reproductive Health and ContraceptionHIV/AIDS Research and Interventions
Cited by 299
- Verified
Use of task-shifting to rapidly scale-up HIV treatment services: experiences from Lusaka, Zambia
Morris, M. B., Chapula, B. T., Chi, B. H., Mwango, A., Chi, H. F., Mwanza, J., Manda, H., Bolton, C., Pankratz, D. S., Stringer, J. S., et al. (2009) · BMC Health Services Research
Global Health Workforce IssuesHIV/AIDS Research and Interventions
Cited by 166
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Comprehensive pregnancy monitoring with a network of wireless, soft, and flexible sensors in high- and low-resource health settings
Ryu, D., Kim, D. H., Price, J. T., Lee, J. Y., Chung, H. U., Allen, E., Walter, J. R., Jeong, H., Cao, J., Kulikova, E., et al. (2021) · Proceedings of the National Academy of Sciences
Non-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting Materials
Cited by 105
- Verified
Antiretroviral therapy in antenatal care to increase treatment initiation in HIV-infected pregnant women: a stepped-wedge evaluation
Killam, W. P., Tambatamba, B. C., Chintu, N., Rouse, D., Stringer, E., Bweupe, M., Yu, Y., & Stringer, J. S. (2010) · AIDS
HIV/AIDS Research and InterventionsGlobal Maternal and Child Health
Cited by 96
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AI Estimation of Gestational Age from Blind Ultrasound Sweeps in Low-Resource Settings
Pokaprakarn, T., Prieto, J. C., Price, J. T., Kasaro, M. P., Sindano, N., Shah, H. R., Peterson, M., Akapelwa, M. M., Kapilya, F. M., Sebastião, Y. V., et al. (2022) · NEJM Evidence
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 80
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eC3-A Modern Telecommunications Matrix for Cervical Cancer Prevention in Zambia
Parham, G. P., Mwanahamuntu, M. H., Pfaendler, K. S., Sahasrabuddhe, V. V., Myung, D., Mkumba, G., Kapambwe, S., Mwanza, B., Chibwesha, C., Hicks, M. L., et al. (2010) · Journal of Lower Genital Tract Disease
Cervical Cancer and HPV ResearchWomen's cancer prevention and management
Cited by 79
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A Mobile Phone-Based, Community Health Worker Program for Referral, Follow-Up, and Service Outreach in Rural Zambia: Outcomes and Overview
Schuttner, L., Sindano, N., Theis, M., Zue, C., Joseph, J., Chilengi, R., Chi, B. H., Stringer, J. S. A., & Chintu, N. (2014) · Telemedicine and e-Health
Mobile Health and mHealth ApplicationsICT in Developing Communities
Cited by 58
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Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries
Xu, S., Rwei, A. Y., Vwalika, B., Chisembele, M. P., Stringer, J. S. A., Ginsburg, A. S., & Rogers, J. A. (2021) · The Lancet Digital Health
Non-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting Materials
Cited by 57
- Verified
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
Gomes, R. G., Vwalika, B., Lee, C., Willis, A., Sieniek, M., Price, J. T., Chen, C., Kasaro, M. P., Taylor, J. A., Stringer, E. M., et al. (2022) · Communications Medicine
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 47
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