Research graph
References from Artificial neuro-fuzzy intelligence for dynamic tracking and prediction of HIV prevalence and new infections among individuals aged 15 to 49 years in Uganda. Local targets link to admitted publications; unresolved targets remain external evidence.
Preventive measures against HIV among Uganda’s youth: strategies, implementation, and effectiveness.
10.1097/md.0000000000040317 · 2024 · External reference
Effect of antiretroviral therapy on retention of people living with HIV in India (2012–2017): a retrospective, cohort study.
10.1016/j.lansea.2025.100552 · 2025 · External reference
HIV incidence and adherence after pre-exposure prophylaxis initiation in key populations in Indonesia: findings from a real-world pilot program 2021–2023.
10.1016/j.ijregi.2025.100573 · 2025 · External reference
ART and Serum albumin are influencing factors of the 5-year survival rate of people living with HIV undergoing maintenance hemodialysis caused by HIV: a cohort study.
10.1097/md.0000000000035494 · 2023 · External reference
Associated risk factors of HIV infection among adolescent girls and young women seeking services at a tertiary hospital in central Uganda.
10.26502/jesph.96120212 · 2024 · External reference
Understanding youth vulnerability to HIV/AIDS in Uganda: social, economic, and behavioural dimensions.
2024 · External reference
Thirty years of change in HIV incidence among adults in the Kyamulibwa General Population Cohort in rural southwest Uganda, 1989–2021.
10.1016/j.ijid.2023.01.029 · 2023 · External reference
Modelling the impact of combining HIV prevention interventions on HIV dynamics in fishing communities in Uganda.
10.1186/s12879-023-08113-2 · 2023 · External reference
Limitations of rapid HIV-1 tests during screening for trials in Uganda: diagnostic test accuracy study.
10.1136/bmj.39210.582801.be · 2007 · External reference
Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda.
10.1186/s12889-020-8436-z · 2020 · External reference
Application of machine learning and deep learning for the prediction of HIV/AIDS.
10.5114/hivar.2022.112852 · 2022 · External reference
Application of artificial intelligence and machine learning for HIV prevention interventions.
10.1016/s2352-3018(21)00247-2 · 2022 · External reference
AI applications in HIV research: advances and future directions.
10.3389/fmicb.2025.1541942 · 2025 · External reference
The application of machine learning algorithms to predict HIV testing using evidence from the 2002–2017 South African adult population-based surveys: an HIV testing predictive model.
10.3390/tropicalmed10060167 · 2025 · External reference
Medical image-based diagnosis using a hybrid adaptive neuro-fuzzy inferences system (ANFIS) optimized by GA with a deep network model for features extraction.
10.3390/math12050633 · 2024 · External reference
Harnessing artificial intelligence to optimize long‐term maintenance dosing for antiretroviral‐naive adults with HIV‐1 infection.
10.1002/adtp.201900114 · 2020 · External reference
Machine learning approach and geospatial analysis to determine HIV infection, awareness status, and transmission knowledge among adults in Sub-Saharan Africa.
10.1186/s13104-024-07053-7 · 2024 · External reference
Statistical modelling and forecasting of HIV and anti-retroviral therapy cases by time-series and machine learning models.
10.1038/s41598-025-10882-6 · 2025 · External reference
Progress and prospects for the control of HIV and tuberculosis in South Africa: a dynamical modelling study.
10.1016/s2468-2667(17)30066-x · 2017 · External reference
Explainable artificial intelligence and domain adaptation for predicting HIV infection with graph neural networks.
10.1080/07853890.2024.2407063 · 2024 · External reference
HIV incidence and prevalence among adults aged 15–64 years in Rwanda: results from the Rwanda Population-based HIV Impact Assessment (RPHIA) and district-level modeling, 2019.
10.1016/j.ijid.2022.01.032 · 2022 · External reference
Global, regional, and national HIV/AIDS disease burden levels and trends in 1990–2019: a systematic analysis for the global burden of disease 2019 study.
10.3389/fpubh.2023.1068664 · 2023 · External reference
A sub‐national HIV epidemic appraisal in Kenya: a new approach for identifying priority geographies, populations and programmes for optimizing coverage for HIV prevention.
10.1002/jia2.26245 · 2024 · External reference
New HIV infections among key populations and their partners in 2010 and 2022, by world region: a multisources estimation.
10.1097/qai.0000000000003340 · 2024 · External reference
Prevalence of sarcopenia and association with HIV infection in China elderly: an observational study.
10.1097/md.0000000000038532 · 2024 · External reference
Prevalence of HIV/AIDS among pregnant women in North American region: a systematic review and meta-analysis.
10.1097/md.0000000000040339 · 2024 · External reference
Immunological factors influencing HIV acquisition in infants: a narrative review.
10.1097/md.0000000000043039 · 2025 · External reference
Human papillomavirus prevalence and behavioral risk factors among HIV-infected and HIV-uninfected men who have sex with men in Taiwan.
10.1097/md.0000000000013201 · 2018 · External reference
A prediction model for virologic failure in adolescents living with HIV in Uganda: findings from the Suubi+ Adherence study.
10.1016/j.puhe.2025.105753 · 2025 · External reference
Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015.
10.1016/s2352-3018(16)30087-x · 2016 · External reference
Global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the global burden of diseases, injuries, and risk factors study 2017.
10.1016/s2352-3018(19)30196-1 · 2019 · External reference
HIV incidence and prevalence projections for Zimbabwe: findings from five mathematical models.
10.2989/16085906.2025.2518936 · 2025 · External reference
Estimating HIV incidence in Türkiye: results from two mathematical models.
10.1186/s12879-025-10718-8 · 2025 · External reference
The people living with HIV (PLHIV) resilience scale: development and validation in three countries in the context of the PLHIV stigma index.
10.1007/s10461-019-02594-6 · 2019 · External reference
Mortality and associated factors among people living with HIV admitted at a tertiary-care hospital in Uganda: a cross-sectional study.
10.1186/s12879-024-09112-7 · 2024 · External reference
Discrimination against HIV/AIDS patients and associated factors among women in East African countries: using the most recent DHS data (2015–2022).
10.1186/s41043-023-00491-2 · 2024 · External reference
Analyzing HIV/AIDS dynamics with a novel Caputo-Fabrizio fractional order model and optimal control measures.
10.1371/journal.pone.0315850 · 2024 · External reference
Model-based small area estimation methods and precise district-level HIV prevalence estimates in Uganda.
10.1371/journal.pone.0253375 · 2021 · External reference
A comparison of two population-based household surveys in Uganda for assessment of violence against youth.
10.1371/journal.pone.0260986 · 2021 · External reference
Estimating incidence of HIV infection in Uganda.
10.1001/jama.2008.953 · 2009 · External reference
Progress in the HIV response in Uganda: findings from two sequential population-based HIV impact assessment surveys, 2017–21.
10.1016/s2352-3018(25)00100-6 · 2025 · External reference
Estimating HIV incidence among adults in Kenya and Uganda: a systematic comparison of multiple methods.
10.1371/journal.pone.0017535 · 2011 · External reference
Epidemiological and spatiotemporal analyses of HIV/AIDS prevalence among older adults in Sichuan, China between 2008 and 2019: a population-based study.
10.1016/j.ijid.2021.02.077 · 2021 · External reference
Antiretroviral therapy and aging as resources for managing and resisting HIV-related stigma in rural South Africa.
10.1016/j.ssmqr.2022.100148 · 2022 · External reference
Prevalence of nonsuppressed viral load and associated factors among HIV‐positive adults receiving antiretroviral therapy in Eswatini, Lesotho, Malawi, Zambia and Zimbabwe (2015 to 2017): results from population‐based nationally representative surveys.
10.1002/jia2.25631 · 2020 · External reference
The prevalence, incidence, and sociodemographic risk factors of HIV among older adults in sub-Saharan Africa (AWI-Gen): a multicentre, longitudinal cohort study.
10.1016/j.lanhl.2025.100690 · 2025 · External reference
Modeling and optimization of isolated combined heat and power microgrid for managing Universiti Teknologi PETRONAS energy.
10.1109/access.2023.3296428 · 2023 · External reference
The Joint United Nations Programme on HIV/AIDS 95–95–95 targets: worldwide clinical and cost benefits of generic manufacture.
10.1097/qad.0000000000002983 · 2021 · External reference
95–95–95 HIV indicators among children younger than 15 years in South Africa: results from the 2017 national HIV prevalence, incidence, behaviour, and communication survey.
10.1186/s12981-024-00691-8 · 2025 · External reference
Achieving the 95–95–95 targets for all: a pathway to ending AIDS.
10.1371/journal.pone.0272405 · 2022 · External reference
Estimating incidence of HIV infection in Uganda.
10.1001/jama.2008.953 · ExternalCitation · doi-reference
Harnessing artificial intelligence to optimize long‐term maintenance dosing for antiretroviral‐naive adults with HIV‐1 infection.
10.1002/adtp.201900114 · ExternalCitation · doi-reference
Prevalence of nonsuppressed viral load and associated factors among HIV‐positive adults receiving antiretroviral therapy in Eswatini, Lesotho, Malawi, Zambia and Zimbabwe (2015 to 2017): results from population‐based nationally representative surveys.
10.1002/jia2.25631 · ExternalCitation · doi-reference
A sub‐national HIV epidemic appraisal in Kenya: a new approach for identifying priority geographies, populations and programmes for optimizing coverage for HIV prevention.
10.1002/jia2.26245 · ExternalCitation · doi-reference
The people living with HIV (PLHIV) resilience scale: development and validation in three countries in the context of the PLHIV stigma index.
10.1007/s10461-019-02594-6 · ExternalCitation · doi-reference
Epidemiological and spatiotemporal analyses of HIV/AIDS prevalence among older adults in Sichuan, China between 2008 and 2019: a population-based study.
10.1016/j.ijid.2021.02.077 · ExternalCitation · doi-reference
HIV incidence and prevalence among adults aged 15–64 years in Rwanda: results from the Rwanda Population-based HIV Impact Assessment (RPHIA) and district-level modeling, 2019.
10.1016/j.ijid.2022.01.032 · ExternalCitation · doi-reference
Thirty years of change in HIV incidence among adults in the Kyamulibwa General Population Cohort in rural southwest Uganda, 1989–2021.
10.1016/j.ijid.2023.01.029 · ExternalCitation · doi-reference
HIV incidence and adherence after pre-exposure prophylaxis initiation in key populations in Indonesia: findings from a real-world pilot program 2021–2023.
10.1016/j.ijregi.2025.100573 · ExternalCitation · doi-reference
The prevalence, incidence, and sociodemographic risk factors of HIV among older adults in sub-Saharan Africa (AWI-Gen): a multicentre, longitudinal cohort study.
10.1016/j.lanhl.2025.100690 · ExternalCitation · doi-reference
Effect of antiretroviral therapy on retention of people living with HIV in India (2012–2017): a retrospective, cohort study.
10.1016/j.lansea.2025.100552 · ExternalCitation · doi-reference
A prediction model for virologic failure in adolescents living with HIV in Uganda: findings from the Suubi+ Adherence study.
10.1016/j.puhe.2025.105753 · ExternalCitation · doi-reference
Antiretroviral therapy and aging as resources for managing and resisting HIV-related stigma in rural South Africa.
10.1016/j.ssmqr.2022.100148 · ExternalCitation · doi-reference
Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015.
10.1016/s2352-3018(16)30087-x · ExternalCitation · doi-reference
Global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the global burden of diseases, injuries, and risk factors study 2017.
10.1016/s2352-3018(19)30196-1 · ExternalCitation · doi-reference
Application of artificial intelligence and machine learning for HIV prevention interventions.
10.1016/s2352-3018(21)00247-2 · ExternalCitation · doi-reference
Progress in the HIV response in Uganda: findings from two sequential population-based HIV impact assessment surveys, 2017–21.
10.1016/s2352-3018(25)00100-6 · ExternalCitation · doi-reference
Progress and prospects for the control of HIV and tuberculosis in South Africa: a dynamical modelling study.
10.1016/s2468-2667(17)30066-x · ExternalCitation · doi-reference
Statistical modelling and forecasting of HIV and anti-retroviral therapy cases by time-series and machine learning models.
10.1038/s41598-025-10882-6 · ExternalCitation · doi-reference
Explainable artificial intelligence and domain adaptation for predicting HIV infection with graph neural networks.
10.1080/07853890.2024.2407063 · ExternalCitation · doi-reference
Human papillomavirus prevalence and behavioral risk factors among HIV-infected and HIV-uninfected men who have sex with men in Taiwan.
10.1097/md.0000000000013201 · ExternalCitation · doi-reference
ART and Serum albumin are influencing factors of the 5-year survival rate of people living with HIV undergoing maintenance hemodialysis caused by HIV: a cohort study.
10.1097/md.0000000000035494 · ExternalCitation · doi-reference
Prevalence of sarcopenia and association with HIV infection in China elderly: an observational study.
10.1097/md.0000000000038532 · ExternalCitation · doi-reference
Preventive measures against HIV among Uganda’s youth: strategies, implementation, and effectiveness.
10.1097/md.0000000000040317 · ExternalCitation · doi-reference
Prevalence of HIV/AIDS among pregnant women in North American region: a systematic review and meta-analysis.
10.1097/md.0000000000040339 · ExternalCitation · doi-reference
Immunological factors influencing HIV acquisition in infants: a narrative review.
10.1097/md.0000000000043039 · ExternalCitation · doi-reference
The Joint United Nations Programme on HIV/AIDS 95–95–95 targets: worldwide clinical and cost benefits of generic manufacture.
10.1097/qad.0000000000002983 · ExternalCitation · doi-reference
New HIV infections among key populations and their partners in 2010 and 2022, by world region: a multisources estimation.
10.1097/qai.0000000000003340 · ExternalCitation · doi-reference
Modeling and optimization of isolated combined heat and power microgrid for managing Universiti Teknologi PETRONAS energy.
10.1109/access.2023.3296428 · ExternalCitation · doi-reference
Limitations of rapid HIV-1 tests during screening for trials in Uganda: diagnostic test accuracy study.
10.1136/bmj.39210.582801.be · ExternalCitation · doi-reference
Modelling the impact of combining HIV prevention interventions on HIV dynamics in fishing communities in Uganda.
10.1186/s12879-023-08113-2 · ExternalCitation · doi-reference
Mortality and associated factors among people living with HIV admitted at a tertiary-care hospital in Uganda: a cross-sectional study.
10.1186/s12879-024-09112-7 · ExternalCitation · doi-reference
Estimating HIV incidence in Türkiye: results from two mathematical models.
10.1186/s12879-025-10718-8 · ExternalCitation · doi-reference
Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda.
10.1186/s12889-020-8436-z · ExternalCitation · doi-reference
95–95–95 HIV indicators among children younger than 15 years in South Africa: results from the 2017 national HIV prevalence, incidence, behaviour, and communication survey.
10.1186/s12981-024-00691-8 · ExternalCitation · doi-reference
Machine learning approach and geospatial analysis to determine HIV infection, awareness status, and transmission knowledge among adults in Sub-Saharan Africa.
10.1186/s13104-024-07053-7 · ExternalCitation · doi-reference
Discrimination against HIV/AIDS patients and associated factors among women in East African countries: using the most recent DHS data (2015–2022).
10.1186/s41043-023-00491-2 · ExternalCitation · doi-reference
Estimating HIV incidence among adults in Kenya and Uganda: a systematic comparison of multiple methods.
10.1371/journal.pone.0017535 · ExternalCitation · doi-reference
Model-based small area estimation methods and precise district-level HIV prevalence estimates in Uganda.
10.1371/journal.pone.0253375 · ExternalCitation · doi-reference
A comparison of two population-based household surveys in Uganda for assessment of violence against youth.
10.1371/journal.pone.0260986 · ExternalCitation · doi-reference
Achieving the 95–95–95 targets for all: a pathway to ending AIDS.
10.1371/journal.pone.0272405 · ExternalCitation · doi-reference
Analyzing HIV/AIDS dynamics with a novel Caputo-Fabrizio fractional order model and optimal control measures.
10.1371/journal.pone.0315850 · ExternalCitation · doi-reference
Associated risk factors of HIV infection among adolescent girls and young women seeking services at a tertiary hospital in central Uganda.
10.26502/jesph.96120212 · ExternalCitation · doi-reference
HIV incidence and prevalence projections for Zimbabwe: findings from five mathematical models.
10.2989/16085906.2025.2518936 · ExternalCitation · doi-reference
AI applications in HIV research: advances and future directions.
10.3389/fmicb.2025.1541942 · ExternalCitation · doi-reference
Global, regional, and national HIV/AIDS disease burden levels and trends in 1990–2019: a systematic analysis for the global burden of disease 2019 study.
10.3389/fpubh.2023.1068664 · ExternalCitation · doi-reference
Medical image-based diagnosis using a hybrid adaptive neuro-fuzzy inferences system (ANFIS) optimized by GA with a deep network model for features extraction.
10.3390/math12050633 · ExternalCitation · doi-reference
The application of machine learning algorithms to predict HIV testing using evidence from the 2002–2017 South African adult population-based surveys: an HIV testing predictive model.
10.3390/tropicalmed10060167 · ExternalCitation · doi-reference
Application of machine learning and deep learning for the prediction of HIV/AIDS.
10.5114/hivar.2022.112852 · ExternalCitation · doi-reference
