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Kimmel AD, Pan Z, Brazier E, Murenzi G, Mujwara D, Muhoza B, Yotebieng M, Anastos K, Nash D, and on behalf of the Central Africa International epidemiology Databases to Evaluate AIDS (CA-IeDEA). Development and calibration of a mathematical model of HIV outcomes among Rwandan adults: Informing achievement of global targets across sub-populations in Rwanda. PLoS One 2025; 20:e0310662. [PMID: 40367028 PMCID: PMC12077668 DOI: 10.1371/journal.pone.0310662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 03/04/2025] [Indexed: 05/16/2025] Open
Abstract
BACKGROUND We developed and calibrated the Central Africa-International epidemiology Databases to Evaluate AIDS (CA-IeDEA) HIV policy model to inform achievement of global goals, overall and across all sub-populations, in Rwanda. METHODS We created a deterministic dynamic model to project adult HIV epidemic and care continuum outcomes, overall and for 35 subpopulations (age group, sex, HIV acquisition risk, urbanicity). Data came from the Rwanda cohort of CA-IeDEA, 2004-2020; Rwanda Demographic and Health Surveys, 2005, 2010, 2015; Rwanda Population-based HIV Impact Assessment, 2019; and literature and reports. We calibrated the model to 47 targets by selecting 50 best-fitting parameter sets. Targets reflected epidemic, global goals and other indicators. Best-fitting sets minimized the summed absolute value of the percentage deviation (AVPD) between projections and targets. Good performance was mean AVPD ≤5% across best-fitting sets and/or projections within target confidence intervals; acceptable was mean AVPD >5%-15%. RESULTS Across indicators, 1,843 of 2,350 (78.4%) model projections were a good or acceptable fit to calibration targets. For HIV epidemic indicators, 247 of 300 (82.3%) projections were a good fit to targets, with the model performing better for women (80.3% a good fit) than for men (62.3% a good fit). For global goals indicators, 97 of 100 (97.0%) projections were a good fit; model performance was similar for women and men. For other indicators, 708 of 950 (74.5%) projections were a good or acceptable fit. Fit was better for women than for men (percentage virally suppressed only) and when restricting targets for number on ART to 2013 and beyond. CONCLUSIONS The CA-IeDEA HIV policy model fits historical data and can inform policy solutions for achieving global goals across all sub-populations in Rwanda. High-quality population-based data and novel approaches that account for calibration target quality are critical to ongoing use of mathematical models for programmatic planning.
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Affiliation(s)
- April D. Kimmel
- Department of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, United States of America
- Division of Infectious Diseases, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, United States of America
| | - Zhongzhe Pan
- Department of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, United States of America
| | - Ellen Brazier
- Institute for Implementation Science in Population Health, City University of New York, United States of America
| | - Gad Murenzi
- Research for Development (RD Rwanda), Kigali, Rwanda
| | - Deo Mujwara
- Department of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, United States of America
| | | | - Marcel Yotebieng
- Albert Einstein College of Medicine, New York, United States of America
| | - Kathryn Anastos
- Albert Einstein College of Medicine, New York, United States of America
| | - Denis Nash
- Institute for Implementation Science in Population Health, City University of New York, United States of America
- Department of Epidemiology and Biostatistics, City University of New York Graduate School of Public Health, United States of America
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McCabe KC, Augusto A, Koole O, McCracken SD, Tiberi O, Boothe M, Sathane I, Honwana N, McOwen J, Young PW. Non-disclosure of Known HIV Status among People Living with HIV in the Mozambique Population-Based HIV Impact Assessment (INSIDA 2021). AIDS Behav 2025:10.1007/s10461-025-04699-7. [PMID: 40205309 DOI: 10.1007/s10461-025-04699-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2025] [Indexed: 04/11/2025]
Abstract
Non-disclosure of known HIV-positive status is a barrier to ending HIV as a global health threat as it leads to biased measurements of HIV-treatment coverage indicators and inaccurate estimates of epidemic progress, resulting in wasted resources. Identifying and understanding factors driving non-disclosure among people living with HIV is necessary for encouraging engagement with HIV services and improving treatment coverage, resource allocation, and monitoring of HIV programs in high HIV-burden areas. This analysis assessed factors associated with non-disclosure among survey respondents who had antiretrovirals (ARVs) detected in blood specimens. HIV-positive blood specimens (n = 2,038) from the 2021 Mozambique Population-based HIV Impact Assessment were tested for the presence of ARVs. Weighted prevalence estimates of non-disclosure and select covariates are reported and factors associated with non-disclosure modeled via multivariate logistic regression. Among 1,358 respondents with ARVs detected, 14.1% did not self-report their HIV-positive status during the interview. Adjusting for socio-demographic and clinical factors, non-disclosure was more likely among younger participants aged 15-24 years (adjusted odds ratio [aOR]: 2.15, 95% Confidence Interval [CI] 1.16-4.01) and among those without knowledge of their recent sexual partner's HIV-status (aOR: 2.67, 95%CI: 1.38-5.15). Participants with an unsuppressed viral load were over six times (aOR: 6.27, 95%CI: 2.76-14.23) more likely to not disclose. Improving disclosure rates is vital to obtaining accurate HIV-treatment estimates and assessing epidemic progress. Initiatives prioritizing pre- and post-test counseling, stressing treatment literacy, emphasizing undetectable = untransmittable (U = U) campaigns, and encouraging programs that promote social support may encourage disclosure among individuals living with HIV.
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Affiliation(s)
- K Carter McCabe
- Division of Global HIV & TB, U.S. Centers for Disease Control and Prevention (CDC), Maputo, Mozambique.
| | | | | | - Stephen D McCracken
- Division of Global HIV & TB, U.S. Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Orrin Tiberi
- Programa Nacional de Controlo de ITS-HIV/SIDA, Direção Nacional da Saúde Publica, Ministério de Saúde, Maputo, Mozambique
| | | | - Isabel Sathane
- Programa Nacional de Controlo de ITS-HIV/SIDA, Direção Nacional da Saúde Publica, Ministério de Saúde, Maputo, Mozambique
| | - Nely Honwana
- Division of Global HIV & TB, U.S. Centers for Disease Control and Prevention (CDC), Maputo, Mozambique
| | - Jordan McOwen
- Division of Global HIV & TB, U.S. Centers for Disease Control and Prevention (CDC), Maputo, Mozambique
| | - Peter W Young
- Division of Global HIV & TB, U.S. Centers for Disease Control and Prevention (CDC), Maputo, Mozambique
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Schultz JS, Okoli M, Lee S, Leonard CM, Sayre D, Heilig CM, Uhomoibhi P, Ogunniyi A, Ndodo N, Mba N, Abubakar AG, Akinmulero O, Dawurung AB, Okoye M, Iriemenam NC, Plucinski M, Steinhardt L, Rogier E, Ihekweazu C. Principal component analysis of the Serological response to Plasmodium Falciparum using a Multiplex bead-based assay in Nigeria. Sci Rep 2024; 14:30658. [PMID: 39730380 DOI: 10.1038/s41598-024-74236-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 09/24/2024] [Indexed: 12/29/2024] Open
Abstract
Characterization of serological responses to Plasmodium falciparum (Pf) is of interest to understand disease burden and transmission dynamics; however, their interpretation is challenging. Dried blood spots from 30,815 participants aged 6 months to 15 years from the 2018 Nigeria HIV/AIDS Indicator and Impact Survey were analyzed by multiplex bead-based assay to measure immunoglobulin G (IgG) to Pf-stage-specific MSP-1, AMA-1, GLURPR0, LSA-1, and CSP. These IgG levels were analyzed by principal component analysis (PCA). PC1 and PC2 scores explained 41% and 17% of the total variance, respectively. PC1 unit vectors represented seropositivity. PC2 unit vectors for blood-stage antigens were in opposite directions to liver-stage and sporozoite antigens. PC2 scores were correlated with MSP-1 positively (R = 0.52, P < 0.001) and CSP negatively (R=-0.65, P < 0.001) and may help identify areas with prior exposure but higher risk for increased infections or epidemics. PCA of Pf serology can provide summary scores to possibly inform future programmatic interventions.
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Affiliation(s)
- Jonathan S Schultz
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA.
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Mary Okoli
- Centre for Disease Control and Prevention, Abuja, FCT, Nigeria
| | - Scott Lee
- Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Colleen M Leonard
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Dean Sayre
- Malaria Branch, U.S. President's Malaria Initiative, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Charles M Heilig
- Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Nnaemeka Ndodo
- Centre for Disease Control and Prevention, Abuja, FCT, Nigeria
| | - Nwando Mba
- Centre for Disease Control and Prevention, Abuja, FCT, Nigeria
| | - Ado G Abubakar
- Institute of Human Virology Nigeria, Abuja, FCT, Nigeria
| | | | | | - McPaul Okoye
- Division of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Abuja, FCT, Nigeria
| | - Nnaemeka C Iriemenam
- Division of Global HIV and Tuberculosis, Centers for Disease Control and Prevention, Abuja, FCT, Nigeria
| | - Mateusz Plucinski
- Malaria Branch, U.S. President's Malaria Initiative, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Laura Steinhardt
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Eric Rogier
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Malaria Branch, U.S. President's Malaria Initiative, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
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Walters MK, Korenromp EL, Yakusik A, Wanyeki I, Kaboré A, Poimouribou A, Ki C, Dao C, Bambara P, Derme S, Ouedraogo T, Tang KH, Boily MC, Mahy M, Imai-Eaton JW. Guidance for Triangulating Data and Estimates of HIV Prevalence Among Pregnant Women and Coverage of PMTCT Using the Spectrum AIDS Impact Module. J Acquir Immune Defic Syndr 2024; 97:439-449. [PMID: 39187933 PMCID: PMC11540279 DOI: 10.1097/qai.0000000000003514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 07/16/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND Most countries use the Spectrum AIDS Impact Module (Spectrum-AIM), antenatal care routine HIV testing, and antiretroviral treatment data to estimate HIV prevalence among pregnant women. Nonrepresentative program data may lead to inaccurate estimates of HIV prevalence and treatment coverage for pregnant women. SETTING One hundred fifty-four countries and subnational locations across 126 countries. METHODS Using 2023 UNAIDS HIV estimates, we calculated 3 ratios: (1) HIV prevalence among pregnant women to all women 15-49 yrs (prevalence), (2) ART coverage before pregnancy to women 15-49 yrs ART coverage (ART prepregnancy), and (3) ART coverage at delivery to women 15-49 yrs ART coverage (PMTCT coverage). We developed an algorithm to identify and adjust inconsistent results within regional ranges in Spectrum-AIM, illustrated using Burkina Faso estimates. RESULTS In 2022, the mean regional ratio of prevalence among pregnant women to all women ranged from 0.68 to 0.95. ART coverage prepregnancy ranged by region from 0.40 to 1.22 times ART coverage among all women. Mean regional PMTCT coverage ratios ranged from 0.85 to 1.51. The prevalence ratio in Burkina Faso was 1.59, above the typical range 0.62-1.04 in western and central Africa. Antenatal clinics reported more PMTCT recipients than estimated HIV-positive pregnant women from 2015 to 2019. We adjusted inputted PMTCT program data to enable consistency of HIV prevalence among pregnant women from programmatic routine HIV testing at antenatal clinics with values typical for western and central Africa. CONCLUSIONS These ratios offer Spectrum-AIM users a tool to gauge the consistency of their HIV prevalence and treatment coverage estimates among pregnant women with other countries in the region.
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Affiliation(s)
- Magdalene K Walters
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
| | - Eline L Korenromp
- Data for Impact Department, Joint United Nations Programme on HIV/AIDS, Geneva, Switzerland
| | - Anna Yakusik
- Data for Impact Department, Joint United Nations Programme on HIV/AIDS, Geneva, Switzerland
| | - Ian Wanyeki
- Data for Impact Department, Joint United Nations Programme on HIV/AIDS, Geneva, Switzerland
| | - André Kaboré
- Data for Impact Division, Joint United Nations Programme on HIV/AIDS, Ouagadougou, Burkina Faso
| | - Arthur Poimouribou
- Permanent Secretary of the National Council for the Fight Against AIDS and Communicable Infections, Burkina Faso
| | - Célestine Ki
- Permanent Secretary of the National Council for the Fight Against AIDS and Communicable Infections, Burkina Faso
| | - Coumbo Dao
- Direction de la Santé de la Famille (DSF), Ouagadougou, Burkina Faso; and
| | - Paul Bambara
- Permanent Secretary of the National Council for the Fight Against AIDS and Communicable Infections, Burkina Faso
| | - Salam Derme
- Permanent Secretary of the National Council for the Fight Against AIDS and Communicable Infections, Burkina Faso
| | - Théophile Ouedraogo
- Permanent Secretary of the National Council for the Fight Against AIDS and Communicable Infections, Burkina Faso
| | - Kai Hon Tang
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
| | - Marie-Claude Boily
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
| | - Mary Mahy
- Data for Impact Department, Joint United Nations Programme on HIV/AIDS, Geneva, Switzerland
| | - Jeffrey W Imai-Eaton
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
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Metz M, Among VH, Dzinamarira T, Ussery F, Nkurunziza P, Bahizi J, Biraro S, Ogollah FM, Musinguzi J, Kirungi W, Naluguza M, Mwangi C, Birhanu S, Nelson LJ, Longwe H, Winterhalter FS, Voetsch AC, Parekh BS, Patel HK, Duong YT, Bray R, Farley SM. People Who Self-Reported Testing HIV-Positive but Tested HIV-Negative: A Multi-Country Puzzle of Data, Serology, and Ethics, 2015-2021. Trop Med Infect Dis 2024; 9:220. [PMID: 39330909 PMCID: PMC11435972 DOI: 10.3390/tropicalmed9090220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 08/30/2024] [Accepted: 09/10/2024] [Indexed: 09/28/2024] Open
Abstract
During population-based HIV impact assessments (PHIAs), some participants who self-reported testing HIV-positive (PSRP) tested negative in one or more subsequent survey HIV tests. These unexpected discrepancies between their self-reported results and the survey results draw into question the validity of either the self-reported status or the test results. We analyzed PSRP with negative test results aged 15-59 years old using data collected from 2015 to 2021 in 13 countries, assessing prevalence, self-report status, survey HIV status, viral load, rapid tests and confirmatory tests, and answers to follow-up questions (such as years on treatment). Across these surveys, 19,026 participants were PSRP, and 256 (1.3%) of these were concluded to be HIV-negative after additional survey-based testing and review. PSRP determined to be HIV-negative trended higher in countries with a higher HIV prevalence, but their number was small enough that accepting self-reported HIV-positive status without testing would not have significantly affected the prevalence estimates for HIV or viral load suppression. Additionally, using more detailed information for Uganda, we examined 107 PSRP with any negative test results and found no significant correlation with years on treatment or age. Using these details, we examined support for the possible reasons for these discrepancies beyond misdiagnosis and false reporting. These findings suggest that those conducting surveys would benefit from a nuanced understanding of HIV testing among PSRP to conduct surveys ethically and produce high-quality results.
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Affiliation(s)
- Melissa Metz
- ICAP at Columbia University, New York, NY 10032, USA; (F.S.W.); (S.M.F.)
| | | | | | - Faith Ussery
- Division of Global HIV and TB, Global Health Center, US Centers for Disease Control and Prevention (CDC), Atlanta, GA 30329, USA; (F.U.); (S.B.); (A.C.V.); (B.S.P.); (H.K.P.)
| | - Peter Nkurunziza
- ICAP Uganda, Plot 1 Lourdel Rd, 5th Floor Lourdel Towers, Kampala, Uganda; (P.N.); (J.B.); (S.B.)
| | - Janet Bahizi
- ICAP Uganda, Plot 1 Lourdel Rd, 5th Floor Lourdel Towers, Kampala, Uganda; (P.N.); (J.B.); (S.B.)
| | - Samuel Biraro
- ICAP Uganda, Plot 1 Lourdel Rd, 5th Floor Lourdel Towers, Kampala, Uganda; (P.N.); (J.B.); (S.B.)
| | | | | | - Wilford Kirungi
- Uganda Ministry of Health, Kampala P.O. Box 7272, Uganda (W.K.)
| | - Mary Naluguza
- Division of Global HIV and TB, Global Health Center, US Centers for Disease Control and Prevention (CDC), Kampala P.O. Box 7007, Uganda; (M.N.); (L.J.N.)
| | - Christina Mwangi
- Division of Global HIV and TB, Global Health Center, US Centers for Disease Control and Prevention (CDC), Kampala P.O. Box 7007, Uganda; (M.N.); (L.J.N.)
| | - Sehin Birhanu
- Division of Global HIV and TB, Global Health Center, US Centers for Disease Control and Prevention (CDC), Atlanta, GA 30329, USA; (F.U.); (S.B.); (A.C.V.); (B.S.P.); (H.K.P.)
| | - Lisa J. Nelson
- Division of Global HIV and TB, Global Health Center, US Centers for Disease Control and Prevention (CDC), Kampala P.O. Box 7007, Uganda; (M.N.); (L.J.N.)
| | - Herbert Longwe
- ICAP South Africa, Erasmuskloof, Pretoria P.O Box 11203, South Africa;
| | | | - Andrew C. Voetsch
- Division of Global HIV and TB, Global Health Center, US Centers for Disease Control and Prevention (CDC), Atlanta, GA 30329, USA; (F.U.); (S.B.); (A.C.V.); (B.S.P.); (H.K.P.)
| | - Bharat S. Parekh
- Division of Global HIV and TB, Global Health Center, US Centers for Disease Control and Prevention (CDC), Atlanta, GA 30329, USA; (F.U.); (S.B.); (A.C.V.); (B.S.P.); (H.K.P.)
| | - Hetal K. Patel
- Division of Global HIV and TB, Global Health Center, US Centers for Disease Control and Prevention (CDC), Atlanta, GA 30329, USA; (F.U.); (S.B.); (A.C.V.); (B.S.P.); (H.K.P.)
| | - Yen T. Duong
- ICAP at Columbia University, New York, NY 10032, USA; (F.S.W.); (S.M.F.)
| | - Rachel Bray
- ICAP at Columbia University, New York, NY 10032, USA; (F.S.W.); (S.M.F.)
| | - Shannon M. Farley
- ICAP at Columbia University, New York, NY 10032, USA; (F.S.W.); (S.M.F.)
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Kimmel AD, Pan Z, Brazier E, Murenzi G, Muhoza B, Yotebieng M, Anastos K, Nash D. Development and calibration of a mathematical model of HIV outcomes among Rwandan adults: informing equitable achievement of targets in Rwanda. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.06.24313223. [PMID: 39281751 PMCID: PMC11398602 DOI: 10.1101/2024.09.06.24313223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/18/2024]
Abstract
Background We developed and calibrated the Central Africa-International epidemiology Databases to Evaluate AIDS (CA-IeDEA) HIV policy model to inform equitable achievement of global goals, overall and across sub-populations, in Rwanda. Methods We created a deterministic dynamic model to project adult HIV epidemic and care continuum outcomes, overall and for 25 subpopulations (age group, sex, HIV acquisition risk, urbanicity). Data came from the Rwanda cohort of CA-IeDEA, 2004-2020; Rwanda Demographic and Health Surveys, 2005, 2010, 2015; Rwanda Population-based HIV Impact Assessment, 2019; and the literature and reports. We calibrated the model to 47 targets by selecting the 50 best-fitting parameter sets among 20,000 simulations. Calibration targets reflected epidemic (HIV prevalence, incidence), global goals (percentage on antiretroviral therapy (ART) among diagnosed, percentage virally suppressed among on ART) and other (number on ART, percentage virally suppressed) indicators, overall and by sex. Best-fitting sets minimized the summed absolute value of the percentage deviation (AVPD) between model projections and calibration targets. Good model performance was mean AVPD ≤5% across the 50 best-fitting sets and/or projections within the target confidence intervals; acceptable was mean AVPD >5% and ≤15%. Results Across indicators, 1,841 of 2,350 (78.3%) model projections were a good or acceptable fit to calibration targets. For HIV epidemic indicators, 256 of 300 (85.3%) projections were a good fit to targets, with the model performing better for women (83.3% a good fit) than for men (71.7% a good fit). For global goals indicators, 96 of 100 (96.0%) projections were a good fit; model performance was similar for women and men. For other indicators, 653 of 950 (68.7%) projections were a good or acceptable fit. Fit was better for women than for men (percentage virally suppressed only) and when restricting targets for number on ART to 2013 and beyond. Conclusions The CA-IeDEA HIV policy model fits historical data and can inform policy solutions for equitably achieving global goals to end the HIV epidemic in Rwanda. High-quality, unbiased population-based data, as well as novel approaches that account for calibration target quality, are critical to ongoing use of mathematical models for programmatic planning.
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Affiliation(s)
- April D Kimmel
- Department of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, USA
- Division of Infectious Diseases, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, USA
| | - Zhongzhe Pan
- Department of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, USA
| | - Ellen Brazier
- Institute for Implementation Science in Population Health, City University of New York, USA
| | - Gad Murenzi
- Research for Development (RD Rwanda), Kigali, Rwanda
| | | | | | | | - Denis Nash
- Institute for Implementation Science in Population Health, City University of New York, USA
- Department of Epidemiology and Biostatistics, City University of New York Graduate School of Public Health, USA
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Bishop MD, Korutaro V, Boyce CL, Beck IA, Styrchak SM, Knowles K, Ziemba L, Brummel SS, Coletti A, Jean-Philippe P, Chakhtoura N, Vhembo T, Cassim H, Owor M, Fairlie L, Moyo S, Chinula L, Lockman S, Frenkel LM. Characterizing HIV drug resistance in cases of vertical transmission in the VESTED randomized antiretroviral treatment trial. J Acquir Immune Defic Syndr 2024; 96:385-392. [PMID: 39175843 PMCID: PMC11338623 DOI: 10.1097/qai.0000000000003435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 03/04/2024] [Indexed: 08/24/2024]
Abstract
Introduction VESTED (NCT03048422) compared the safety and efficacy of three antiretroviral treatment (ART) regimens in pregnant and postpartum women: dolutegravir+emtricitabine/tenofovir alafenamide fumarate; dolutegravir+emtricitabine/tenofovir disoproxil fumarate (TDF); efavirenz/emtricitabine/TDF. Vertical HIV transmission (VT) occurred to 4/617 (0.60%) live-born infants, who were evaluated for HIV drug resistance (HIVDR) and other risk factors. Setting In 2018-2020, pregnant (weeks-14-28) women living with HIV and ≤14 days of ART were enrolled at 22 international sites and followed with their infants through 50 weeks postpartum. Methods HIV sequences derived by single genome amplification (SGA) from longitudinally collected specimens were assessed from VT Cases for HIVDR in protease, reverse transcriptase, integrase, and the nef 3'polypurine tract (3'PPT). Results The four Case mothers were prescribed efavirenz-based-ART for 1-7 days prior to randomization to study ART. Their infants received postnatal nevirapine+/-zidovudine prophylaxis and were breastfed. A total of 833 SGA sequences were derived. The "major" (Stanford HIVDR Score ≥60) non-nucleoside reverse transcriptase inhibitor (NNRTI) mutation (K103N) was detected persistently in one viremic mother, and likely contributed to VT of HIVDR. Major NNRTI HIVDR mutations were detected in all three surviving infants. No integrase, nor high frequencies of 3'PPT mutations conferring dolutegravir HIVDR were detected. The timing of HIV infant diagnosis, plasma HIV RNA levels and HIVDR suggests one in utero, one peripartum, one early, and one late breastfeeding transmission. Conclusions VT was rare. New-onset NNRTI HIVDR in Case mothers was likely from efavirenz-ART prescribed prior to study dolutegravir-ART, and in one case appeared transmitted to the infant despite nevirapine prophylaxis.
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Affiliation(s)
- Marley D. Bishop
- Department of Global Infectious Diseases, Seattle Children’s Research Institute, 307 Westlake Ave N, Seattle, 98109, Washington, USA
| | - Violet Korutaro
- Children’s Foundation Uganda, Baylor College of Medicine, Block 5 Mulago Hospital, P. O. BOX 72052, Kampala 72052, Kamutarpala Uganda
| | - Ceejay L. Boyce
- Department of Global Infectious Diseases, Seattle Children’s Research Institute, 307 Westlake Ave N, Seattle, 98109, Washington, USA
| | - Ingrid A. Beck
- Department of Global Infectious Diseases, Seattle Children’s Research Institute, 307 Westlake Ave N, Seattle, 98109, Washington, USA
| | - Sheila M. Styrchak
- Department of Global Infectious Diseases, Seattle Children’s Research Institute, 307 Westlake Ave N, Seattle, 98109, Washington, USA
| | - Kevin Knowles
- Frontier Science and Technology Research Foundation, 4033 Maple Road Amherst, Buffalo, 14226, NY, USA
| | - Lauren Ziemba
- Centre for Biostatistics in AIDS Research Center for Biostatistics in AIDS Research, Harvard University T.H. Chan School of Public Health, FXB 507 677 Huntington Ave Center for Biostatistics in AIDS Research, Boston, 02115, MA, USA
| | - Sean S. Brummel
- Centre for Biostatistics in AIDS Research Center for Biostatistics in AIDS Research, Harvard University T.H. Chan School of Public Health, FXB 507 677 Huntington Ave Center for Biostatistics in AIDS Research, Boston, 02115, MA, USA
| | - Anne Coletti
- FHI 360, 359 Blackwell St. Suite 200, Durham, 27713, NC, USA
| | - Patrick Jean-Philippe
- Division of AIDS; Maternal Adolescent Pediatric Research Branch; Prevention Sciences Program, National Institute of Allergy and Infectious Diseases, 5601 Fishers Lane Room 8B21, MSC 9831, Bethesda, 20892, MD, USA
| | - Nahida Chakhtoura
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Maternal and Pediatric Infectious Disease Branch, 6710B Rockledge Drive, Bethesda, MD, USA 20892
| | - Tichaona Vhembo
- University of Zimbabwe-University of California San Francisco Collaborative Research Program (UZ-UCSF), 15 Phillips Ave, Belgravia Harare, Zimbabwe
| | - Haseena Cassim
- Perinatal HIV Research Unit, University of the Witwatersrand Johannesburg, Chris Hani Baragwanath Hospital P.O. Box 114, Diepkloof, 1864, Johannesburg, 2050, Gauteng, South Africa
| | - Maxensia Owor
- Makerere University –John Hopkins University Research Collaboration (MUJHU CARE LTD), CRS Upper Mulago Hill Road PO Box 23491, Kampala, Uganda
| | - Lee Fairlie
- Wits RHI, Maternal and Child Health, 22 Esselen Street Hillbrow, Johannesburg, Gauteng, South Africa 2001
| | - Sikhulile Moyo
- Botswana-Harvard AIDS Institute Partnership, Plot 1836 N Ring Rd, Gaborone, Botswana
- Division of Infectious Disease, Brigham and Women’s Hospital, 15 Francis St 2nd Floor, Boston, 02115, MA, USA
| | - Lameck Chinula
- Division of Global Women’s Health; Department of Obstetrics and Gynecology, University of North Carolina-Chapel Hill, 3009 Old Clinic Building Campus Box 7570, Chapel Hill, 27599, NC, USA
| | - Shahin Lockman
- Botswana-Harvard AIDS Institute Partnership, Plot 1836 N Ring Rd, Gaborone, Botswana
- Division of Infectious Disease, Brigham and Women’s Hospital, 15 Francis St 2nd Floor, Boston, 02115, MA, USA
- Harvard University T.H. Chan School of Public Health, Department of Immunology and Infectious Diseases School of Public Health, 655 Huntington Ave, Boston, 02115, MA, USA
| | - Lisa M. Frenkel
- Department of Global Infectious Diseases, Seattle Children’s Research Institute, 307 Westlake Ave N, Seattle, 98109, Washington, USA
- University of Washington, Department of Global Health, Medicine, Epidemiology and Pediatrics, 1959 NE Pacific St. Seattle 98195 WA
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8
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Walters MK, Korenromp EL, Yakusik A, Wanyeki I, Kaboré A, Poimouribou A, Ki C, Dao C, Bambara P, Derme S, Ouedraogo T, Tang KH, Boily MC, Mahy M, Imai-Eaton JW. Guidance for triangulating data and estimates of HIV prevalence among pregnant women and coverage of PMTCT using the Spectrum AIDS Impact Module. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.29.24306862. [PMID: 38853976 PMCID: PMC11160824 DOI: 10.1101/2024.05.29.24306862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Background Most countries use the Spectrum AIDS Impact Module (Spectrum-AIM), antenatal care routine HIV testing, and antiretroviral treatment data to estimate HIV prevalence among pregnant women. Non-representative programme data may lead to inaccurate estimates HIV prevalence and treatment coverage for pregnant women. Setting 154 locations in 126 countries. Methods Using 2023 UNAIDS HIV estimates, we calculated three ratios: (1) HIV prevalence among pregnant women to all women 15-49y (prevalence), (2) ART coverage before pregnancy to women 15-49y ART coverage (ART pre-pregnancy), and (3) ART coverage at delivery to women 15-49y ART coverage (PMTCT coverage). We developed an algorithm to identify and adjust inconsistent results within regional ranges in Spectrum-AIM, illustrated using Burkina Faso's estimates. Results In 2022, the mean regional ratio of prevalence among pregnant women to all women ranged from 0.68 to 0.95. ART coverage pre-pregnancy ranged by region from 0.40 to 1.22 times ART coverage among all women. Mean regional PMTCT coverage ratios ranged from 0.85 to 1.51. The prevalence ratio in Burkina Faso was 1.59, above the typical range 0.62-1.04 in western and central Africa. Antenatal clinics reported more PMTCT recipients than estimated HIV-positive pregnant women from 2015 to 2019. We adjusted inputted PMTCT programme data to enable consistency of HIV prevalence among pregnant women from programmatic routine HIV testing at antenatal clinics with values typical for Western and central Africa. Conclusion These ratios offer Spectrum-AIM users a tool to gauge the consistency of their HIV prevalence and treatment coverage estimates among pregnant women with other countries in the region.
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9
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Logan NZ, Kilmarx PH, Rolle I, Patel HK, Duong YT, Lee K, Shang JD, Bodika S, Koui IT, Balachandra S, Li M, Brown K, Nuwagaba-Biribonwoha H, Getaneh Y, Lulseged S, Haile A, West CA, Mengistu Y, McCracken SD, Kalua T, Jahn A, Kim E, Wadonda-Kabondo N, Jonnalagadda S, Hamunime N, Williams DB, McOllogi Juma J, Mgomella GS, Mdodo R, Kirungi WL, Mugisha V, Ndongmo CB, Nkwemu KC, Mugurungi O, Rogers JH, Saito S, Stupp P, Justman JE, Voetsch AC, Parekh BS. Brief Report: Self-Reported HIV-Positive Status but Subsequent HIV-Negative Test Results in Population-Based HIV Impact Assessment Survey Participants-11 Sub-Saharan African Countries, 2015-2018. J Acquir Immune Defic Syndr 2024; 95:313-317. [PMID: 38412045 PMCID: PMC11926597 DOI: 10.1097/qai.0000000000003363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 10/05/2023] [Indexed: 02/29/2024]
Abstract
BACKGROUND HIV testing is a critical step to accessing antiretroviral therapy (ART) because early diagnosis can facilitate earlier initiation of ART. This study presents aggregated data of individuals who self-reported being HIV-positive but subsequently tested HIV-negative during nationally representative Population-Based HIV Impact Assessment surveys conducted in 11 countries from 2015 to 2018. METHOD Survey participants aged 15 years or older were interviewed by trained personnel using a standard questionnaire to determine HIV testing history and self-reported HIV status. Home-based HIV testing and counseling using rapid diagnostic tests with return of results were performed by survey staff according to the respective national HIV testing services algorithms on venous blood samples. Laboratory-based confirmatory HIV testing for all participants identified as HIV-positives and self-reported positives, irrespective of HIV testing results, was conducted and included Geenius HIV-1/2 and DNA polymerase chain reaction if Geenius was negative or indeterminate. RESULTS Of the 16,630 participants who self-reported as HIV-positive, 16,432 (98.6%) were confirmed as HIV-positive and 198 (1.4%) were HIV-negative by subsequent laboratory-based testing. Participants who self-reported as HIV-positive but tested HIV-negative were significantly younger than 30 years, less likely to have received ART, and less likely to have received a CD4 test compared with participants who self-reported as HIV-positive with laboratory-confirmed infection. CONCLUSIONS A small proportion of self-reported HIV-positive individuals could not be confirmed as positive, which could be due to initial misdiagnosis, deliberate wrong self-report, or misunderstanding of the questionnaire. As universal ART access is expanding, it is increasingly important to ensure quality of HIV testing and confirmation of HIV diagnosis before ART initiation.
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Affiliation(s)
- Naeemah Z Logan
- Epidemic Intelligence Service, CDC, Atlanta, GA
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Peter H Kilmarx
- Fogarty International Center, National Institutes of Health, Bethesda, MD
| | - Italia Rolle
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Hetal K Patel
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | - Kiwon Lee
- ICAP-Columbia University, New York, NY
| | - Judith D Shang
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Stephane Bodika
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | - Shirish Balachandra
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Michelle Li
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Kristin Brown
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | - Yimam Getaneh
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Ashenafi Haile
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Christine A West
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Yohannes Mengistu
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | | | - Andreas Jahn
- Department for HIV and AIDS, Ministry of Health and Population, Lilongwe, Malawi
- I-TECH, Department of Global Health, University of Washington, Seattle, WA
| | - Evelyn Kim
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | - Sasi Jonnalagadda
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Ndapewa Hamunime
- Namibia Ministry of Health and Social Services, Windhoek, Namibia
| | - Daniel B Williams
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - James McOllogi Juma
- Ministry of Health, Community Development, Gender, Elderly and Children, Dodoma, Tanzania
- Tanzania National AIDS Control Program, Dodoma, Tanzania
| | - George S Mgomella
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Rennatus Mdodo
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | | | - Clement B Ndongmo
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | | | - John H Rogers
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | - Paul Stupp
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | | | - Andrew C Voetsch
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
| | - Bharat S Parekh
- Division of Global HIV and TB, Center for Global Health, CDC, Atlanta, GA
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