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Ebasone PV, Dzudie A, Peer N, Hoover D, Shi Q, Kim HY, Brazier E, Ajeh R, Yotebieng M, Nash D, Anastos K, Kengne AP. Coprevalence and associations of diabetes mellitus and hypertension among people living with HIV/AIDS in Cameroon. AIDS Res Ther 2024; 21:36. [PMID: 38824579 PMCID: PMC11144319 DOI: 10.1186/s12981-024-00624-5] [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: 09/06/2023] [Accepted: 05/22/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND The association between HIV infection and increased cardiometabolic risk, attributed to chronic inflammation in people living with HIV (PLWH) and/or antiretroviral therapy (ART) effects, has been inconsistent. In this study, we aimed to assess the associations of HIV-related factors with hypertension (HTN) and type-2 diabetes mellitus (T2DM), and the potential mediation effects of body mass index (BMI) in the associations between ART use and HTN or T2DM in PLWH in Cameroon. METHODS A cross-sectional study was conducted with 14,119 adult PLWH from Cameroon enrolled in the International epidemiology Databases to Evaluate AIDS (IeDEA) between 2016 and 2021. HTN was defined as systolic/diastolic blood pressure ≥ 140/90 mmHg and/or current use of antihypertensive medication, while T2DM was defined as fasting blood sugar ≥ 126 mg/dL and/or use of antidiabetic medications. Univariable and multivariable multinomial logistic regression analyses examined the associations of factors with HTN alone, T2DM alone, and both (HTN + T2DM). Mediation analyses were conducted to assess the potential mediation roles of BMI, while controlling for age, sex, and smoking. RESULTS Of the 14,119 participants, 9177 (65%) were women, with a median age of 42 (25th-75th percentiles: 35-51) years. Age > 50 years was associated with HTN alone, T2DM alone, and HTN + T2DM compared to the age group 19-29 years. Men had higher odds of having HTN + T2DM. Overweight and obesity were predictors of HTN alone compared to being underweight. WHO stages II and III HIV disease were inversely associated with HTN alone compared to stage I. The odds of diabetes alone were lower with ART use. BMI partially mediated the association between ART use and hypertension, with a proportion of mediation effect of 49.6% (all p < 0.02). However, BMI did not mediate the relationship between ART use and diabetes. CONCLUSIONS Traditional cardiovascular risk factors were strongly associated with hypertension among PLWH, while HIV-related exposures had smaller associations. BMI partially mediated the association between ART use and hypertension. This study emphasizes the importance of screening, monitoring, and managing HTN and T2DM in older, male, and overweight/obese PLWH. Further research on the associations of HIV disease stage and ART use with HTN and T2DM is warranted.
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Affiliation(s)
- Peter Vanes Ebasone
- Department of Medicine, University of Cape Town, Cape Town, South Africa.
- Clinical Research Education Networking and Consultancy (CRENC), Yaounde, Cameroon.
| | - Anastase Dzudie
- Clinical Research Education Networking and Consultancy (CRENC), Yaounde, Cameroon
- Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
- Lown Scholars Program, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Nasheeta Peer
- Department of Medicine, University of Cape Town, Cape Town, South Africa
- Non-Communicable Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Donald Hoover
- Department of Statistics and Institute for Health, Health Care Policy and Aging Research, Rutgers the State University of New Jersey, New Brunswick, USA
| | - Qiuhu Shi
- Department of Public Health, New York Medical College, New York, USA
| | - Hae-Young Kim
- Department of Public Health, New York Medical College, New York, USA
| | - Ellen Brazier
- Institute for Implementation Science in Population Health, City University of New York, New York, NY, USA
- Department of Epidemiology and Biostatistics, Graduate School of Public Health, City University of New York, New York, USA
| | - Rogers Ajeh
- Clinical Research Education Networking and Consultancy (CRENC), Yaounde, Cameroon
- Ministry of Public Health, National AIDS Control Committee, Yaounde, Cameroon
| | - Marcel Yotebieng
- Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Denis Nash
- Institute for Implementation Science in Population Health, City University of New York, New York, NY, USA
- Department of Epidemiology and Biostatistics, Graduate School of Public Health, City University of New York, New York, USA
| | - Kathryn Anastos
- Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Andre Pascal Kengne
- Department of Medicine, University of Cape Town, Cape Town, South Africa
- Clinical Research Education Networking and Consultancy (CRENC), Yaounde, Cameroon
- Non-Communicable Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
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Gafane-Matemane LF, Craig A, Kruger R, Alaofin OS, Ware LJ, Jones ESW, Kengne AP. Hypertension in sub-Saharan Africa: the current profile, recent advances, gaps, and priorities. J Hum Hypertens 2024:10.1038/s41371-024-00913-6. [PMID: 38698111 DOI: 10.1038/s41371-024-00913-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 04/15/2024] [Accepted: 04/17/2024] [Indexed: 05/05/2024]
Abstract
Recent global and regional reports consistently confirm the high and increasing prevalence of hypertension in sub-Saharan Africa (SSA), with poor detection, treatment, and control rates. This narrative review summarises the burden of hypertension in SSA and recent findings from community-based hypertension management strategies. We further outline prominent risk factors according to recent data and associated underlying mechanisms for hypertension development. An extensive review of literature showed that most countries have reported on the prevalence of hypertension during 2017-2023, despite limitations linked to the lack of nationally representative studies, heterogeneity of sampling and data collection methods. Task-shifting approaches that assign roles to model patients and community health workers reported improved linkage to healthcare services and adherence to medication, with inconsistent findings on blood pressure (BP)-lowering effects over time. The regularly reported risk factors include unhealthy diet, sedentary lifestyle, increased adiposity and underweight, ageing, level of education, and/or income as well as psychosocial factors. Newer data on the pathophysiological mechanisms leading to hypertension and potential areas of intervention are reported from children and adults and include, among others, salt-handling and volume overload, endothelial function, BP dipping patterns and the role of human immunodeficiency virus . To conclude, significant strides have been made in data reporting from SSA on the burden of hypertension in the region as well as biomarker research to improve understanding and identification of areas of intervention. However, gaps remain on linkage between knowledge generation, translation, and implementation research. Coordinated studies addressing both discovery science and public health are crucial to curb hypertension development and improve management in SSA.
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Affiliation(s)
- Lebo F Gafane-Matemane
- Hypertension in Africa Research Team, North-West University, Potchefstroom, 2520, South Africa.
- SAMRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, 2520, South Africa.
| | - Ashleigh Craig
- SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), University of the Witwatersrand, Soweto, 1864, South Africa
| | - Ruan Kruger
- Hypertension in Africa Research Team, North-West University, Potchefstroom, 2520, South Africa
- SAMRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, 2520, South Africa
| | - Omotayo S Alaofin
- Hypertension in Africa Research Team, North-West University, Potchefstroom, 2520, South Africa
| | - Lisa J Ware
- SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), University of the Witwatersrand, Soweto, 1864, South Africa
| | - Erika S W Jones
- Division of Nephrology and Hypertension, Groote Schuur Hospital and Kidney and Hypertension Research Unit, University of Cape Town, Cape Town, South Africa
| | - Andre Pascal Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Francie Van Zijl Dr, Parow Valley, Cape Town, 7501, South Africa
- Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University, Mthatha, South Africa
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Urade Y, Cassimjee Z, Dayal C, Chiba S, Ajayi A, Davies M. Epidemiology and referral patterns of patients living with chronic kidney disease in Johannesburg, South Africa: A single centre experience. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003119. [PMID: 38635562 PMCID: PMC11034980 DOI: 10.1371/journal.pgph.0003119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 03/25/2024] [Indexed: 04/20/2024]
Abstract
Chronic kidney disease (CKD) is a significant contributor to the global burden of non-communicable disease. Early intervention may facilitate slowing down of progression of CKD; recognition of at-risk patient groups may improve detection through screening. We retrospectively reviewed the clinical records of 960 patients attending a specialist nephrology outpatient clinic during the period 1 January 2011-31 December 2021. A significant proportion (47.8%) of patients were referred with established CKD stage G4 or G5. Non-national immigration status, previous diagnosis with diabetes, and advancing age were associated with late referral; antecedent diagnosis with HIV reduced the odds of late referral. Black African patients comprised most of the sample cohort and were younger at referral and more frequently female than other ethnicities; non-nationals were younger at referral than South Africans. Hypertension-associated kidney disease was the leading ascribed aetiological factor for CKD (40.7% of cases), followed by diabetic kidney disease (DKD) (19%), glomerular disease (12.5%), and HIV-associated kidney disease (11.8%). Hypertension-related (25.9%) and diabetic (10.7%) kidney diseases were not uncommon in people living with HIV. Advancing age and male sex increased the likelihood of diagnosis with hypertensive nephropathy, DKD and obstructive uropathy; males were additionally at increased risk of HIV-associated kidney disease and nephrotoxin exposure, as were patients of Black African ethnicity. In summary, this data shows that hypertension, diabetes, and HIV remain important aetiological factors in CKD in the South African context. Despite the well-described risk of CKD in these disorders, referral to nephrology services occurs late. Interventions and policy actions targeting at-risk populations are required to improve referral practices.
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Affiliation(s)
- Yusuf Urade
- Department of Internal Medicine, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Zaheera Cassimjee
- Department of Internal Medicine, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Chandni Dayal
- Department of Internal Medicine, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
- Division of Nephrology, Helen Joseph Hospital, Johannesburg, Gauteng, South Africa
| | - Sheetal Chiba
- Department of Internal Medicine, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
- Division of Nephrology, Helen Joseph Hospital, Johannesburg, Gauteng, South Africa
| | - Adekunle Ajayi
- Department of Internal Medicine, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
- Division of Nephrology, Helen Joseph Hospital, Johannesburg, Gauteng, South Africa
| | - Malcolm Davies
- Department of Internal Medicine, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
- Division of Nephrology, Helen Joseph Hospital, Johannesburg, Gauteng, South Africa
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Magodoro IM, Castle AC, Tshuma N, Goedecke JH, Sewpaul R, Manasa J, Manne-Goehler J, Ntusi N, Nyirenda MJ, Siedner MJ. Associations of HIV and prevalent type 2 diabetes mellitus in the context of obesity in South Africa. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.10.24304033. [PMID: 38559082 PMCID: PMC10980116 DOI: 10.1101/2024.03.10.24304033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
It is unclear how rising obesity among people with HIV (PWH) in sub-Saharan Africa (SSA) impacts their risk of type 2 diabetes mellitus (diabetes). Using a South African national cross-sectional sample of adult PWH and their peers without HIV (PWOH), we examined the associations between HIV and prevalent diabetes across the spectrum of body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WtHR). Analyses were sex stratified, and adjusted for age, sociodemographic and behavioral factors. The prevalence of diabetes among males was similar between PWH and PWOH, overall and at all levels of adiposity. In contrast, overall diabetes prevalence was higher among female PWOH than female PWH. However, there were differences according to adiposity such that, compared to female PWOH, relative diabetes prevalence in female PWH was reduced with obesity but accentuated with leanness. These differences in the relationship between adiposity and diabetes by HIV serostatus call for better mechanistic understanding of sex-specific adipose tissue biology in HIV in South Africa, and possibly in other HIV endemic settings in SSA.
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Magodoro IM, Guerrero-Chalela CE, Myer L, Jao J, Ntsekhe M, Wilkinson KA, Wilkinson RJ, Zar H, Ntusi NA. Effect of prior tuberculosis on cardiovascular status in perinatally HIV-1-infected adolescents. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.09.24303989. [PMID: 38559174 PMCID: PMC10980126 DOI: 10.1101/2024.03.09.24303989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Whether, and how, co-occurring HIV-1 infection (HIV) and tuberculosis (TB) impact cardiovascular status, especially in adolescents with perinatally acquired HIV (APHIV), have not been examined. We hypothesized that APHIV with previous active TB have worse cardiac efficiency than APHIV without TB, which is mediated by increased inflammation. Arterial elastance (Ea) and ventricular end-systolic elastance (Ees) were assessed by cardiovascular magnetic resonance, and ventriculoarterial coupling (VAC) estimated as Ea/Ees ratio. Inflammation was measured by high sensitivity C-reactive protein (hsCRP). Previous TB in APHIV was associated with reduced cardiac efficiency, related to an altered ventriculoarterial coupling. However, we did not find evidence of hsCRP mediated effects in the association between prior TB and cardiac efficiency. The clinical significance of these findings requires further study, including a wider range of biomarkers of specific immune pathways.
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Verstraeten R, Vos‐Seda AG, Boateng D, Scheuermaier K, Tempelman H, Barth RE, Devillé W, Coutinho RA, Venter F, Grobbee DE, Klipstein‐Grobusch K. No Evidence for an Association of HIV and Antiviral Treatment With Changes in Framingham Cardiovascular Risk Score in the Ndlovu Cohort Study. J Am Heart Assoc 2024; 13:e029637. [PMID: 38214319 PMCID: PMC10926821 DOI: 10.1161/jaha.123.029637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 11/22/2023] [Indexed: 01/13/2024]
Abstract
BACKGROUND HIV and antiretroviral therapy (ART) have been associated with increased cardiovascular disease (CVD) risk in high-income countries. The authors studied the longitudinal association between HIV and ART and nonlaboratory Framingham Risk Score (FRS) in a middle-income country. METHODS AND RESULTS This longitudinal analysis of the NCS (Ndlovu Cohort Study), South Africa used baseline to 36-month follow-up data. Demographics, HIV, ART status, and cardiometabolic measures were obtained. FRS was used as a CVD risk measure. Through linear mixed models, FRS trends over time and the association with HIV were studied. Analysis included 1136 participants, with 609 (54%) having HIV, and 495 (81%) taking ART. At baseline, 9.8% of participants had a high FRS. People living with HIV (PLHIV) had a 3.2% lower FRS than HIV-negative participants (P<0.001). FRS increased similarly for both groups over time. Other factors associated with FRS were secondary and higher education (ß value: -0.075, P<0.001; ß value: -0.084, P<0.001) and alcohol consumption (ß value: 0.011, P<0.001). CONCLUSIONS CVD risk increased for all participants over 36 months, suggesting classic risk factors rather than HIV status or ART to be drivers of CVD risk. People living with HIV had a significantly lower FRS than their HIV-negative counterparts, possibly related to HIV itself or a more frequent interaction with healthcare services. No association of HIV and ART with changes in FRS over 36 months was observed, suggesting the need for research using clinical endpoints to elucidate the effects of HIV and ART on CVD risk. Population-based prevention of CVD risk factors in sub-Saharan Africa is warranted, regardless of HIV status.
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Affiliation(s)
- Rita Verstraeten
- Julius Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center, Utrecht UniversityUtrechtThe Netherlands
- BionamiX, Department of Data Analysis and Mathematical ModellingGhent UniversityGhentBelgium
| | - Alinda G. Vos‐Seda
- Julius Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center, Utrecht UniversityUtrechtThe Netherlands
- Ezintsha, Faculty of Health SciencesUniversity of WitwatersrandJohannesburgSouth Africa
| | - Daniel Boateng
- Julius Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center, Utrecht UniversityUtrechtThe Netherlands
- School of Public HealthKwame Nkrumah University of Science and TechnologyKumasiGhana
| | - Karine Scheuermaier
- Julius Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center, Utrecht UniversityUtrechtThe Netherlands
- Wits Sleep Laboratory, Brain Function Research Group, School of Physiology, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | | | - Roos E. Barth
- Department of Infectious DiseaseUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
| | - Walter Devillé
- Julius Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center, Utrecht UniversityUtrechtThe Netherlands
| | - Roel A. Coutinho
- Julius Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center, Utrecht UniversityUtrechtThe Netherlands
- PharmAccess FoundationAmsterdamThe Netherlands
| | - Francois Venter
- Ezintsha, Faculty of Health SciencesUniversity of WitwatersrandJohannesburgSouth Africa
| | - Diederick E. Grobbee
- Julius Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center, Utrecht UniversityUtrechtThe Netherlands
| | - Kerstin Klipstein‐Grobusch
- Julius Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center, Utrecht UniversityUtrechtThe Netherlands
- Institute of Tropical Medicine, University of TübingenTübingenGermany
- Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
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Cuadros DF, Devi C, Singh U, Olivier S, Castle AC, Moosa Y, Edwards JA, Kim HY, Siedner MJ, Wong EB, Tanser F. Convergence of HIV and non-communicable disease epidemics: geospatial mapping of the unmet health needs in an HIV hyperendemic community in South Africa. BMJ Glob Health 2024; 9:e012730. [PMID: 38176743 PMCID: PMC10773360 DOI: 10.1136/bmjgh-2023-012730] [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: 04/30/2023] [Accepted: 11/25/2023] [Indexed: 01/06/2024] Open
Abstract
INTRODUCTION As people living with HIV (PLHIV) are experiencing longer survival, the co-occurrence of HIV and non-communicable diseases has become a public health priority. In response to this emerging challenge, we aimed to characterise the spatial structure of convergence of chronic health conditions in an HIV hyperendemic community in KwaZulu-Natal, South Africa. METHODS In this cross-sectional study, we used data from a comprehensive population-based disease survey conducted in KwaZulu-Natal, South Africa, which collected data on HIV, diabetes and hypertension. We implemented a novel health needs scale to categorise participants as: diagnosed and well-controlled (Needs Score 1), diagnosed and suboptimally controlled (Score 2), diagnosed but not engaged in care (Score 3) or undiagnosed and uncontrolled (Score 4). Scores 2-4 were indicative of unmet health needs. We explored the geospatial structure of unmet health needs using different spatial clustering methods. RESULTS The analytical sample comprised 18 041 individuals. We observed a similar spatial structure for HIV among those with combined needs Score 2-3 (diagnosed but uncontrolled) and Score 4 (undiagnosed and uncontrolled), with most PLHIV with unmet needs clustered in the southern urban and peri-urban areas. Conversely, a high prevalence of need Scores 2 and 3 for diabetes and hypertension was mostly distributed in the more rural central and northern part of the surveillance area. A high prevalence of need Score 4 for diabetes and hypertension was mostly distributed in the rural southern part of the surveillance area. Multivariate clustering analysis revealed a significant overlap of all three diseases in individuals with undiagnosed and uncontrolled diseases (unmet needs Score 4) in the southern part of the catchment area. CONCLUSIONS In an HIV hyperendemic community in South Africa, areas with the highest needs for PLHIV with undiagnosed and uncontrolled disease are also areas with the highest burden of unmet needs for other chronic health conditions, such as diabetes and hypertension. Our study has revealed remarkable differences in the distribution of health needs across the rural to urban continuum even within this relatively small study site. The identification and prioritisation of geographically clustered vulnerable communities with unmet health needs for both HIV and non-communicable diseases provide a basis for policy and implementation strategies to target communities with the highest health needs.
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Affiliation(s)
- Diego F Cuadros
- Digital Epidemiology Laboratory, University of Cincinnati, Cincinnati, OH, USA
| | - Chayanika Devi
- Digital Epidemiology Laboratory, University of Cincinnati, Cincinnati, OH, USA
| | - Urisha Singh
- Africa Health Research Institute, Durban, South Africa
- Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | | | - Alison C Castle
- Africa Health Research Institute, Durban, South Africa
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical Shool, Boston, MA, USA
| | - Yumna Moosa
- Africa Health Research Institute, Durban, South Africa
| | - Johnathan A Edwards
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
- International Institute for Rural Health, University of Lincoln, Lincolnshire, UK
| | - Hae-Young Kim
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Mark J Siedner
- Africa Health Research Institute, Durban, South Africa
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical Shool, Boston, MA, USA
- School of Clinical Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Emily B Wong
- Africa Health Research Institute, Durban, South Africa
- Division of Infectious Diseases, University of Alabama Birmingham, Birmingham, AL, USA
| | - Frank Tanser
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
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Levi J, Fairhead C, Hill A. Intersections between HIV and obesity in emerging economies. Curr Opin HIV AIDS 2024; 19:35-44. [PMID: 37922195 DOI: 10.1097/coh.0000000000000827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2023]
Abstract
PURPOSE OF REVIEW HIV epidemics are increasing in many emerging economy countries, whilst the very process of 'economic emergence' is obesogenic. Annual deaths related to obesity and overweight are now four times more than for HIV globally. We describe the intersections between HIV and obesity in emerging economies, and highlight potential mitigation options, including antiobesity medications (AOMs), which are safe and effective, but inaccessibly priced. RECENT FINDINGS We summarize what is known about weight-change in HIV and review strategies including public health policies and clinical interventions for emerging economy countries to fight obesity. We also illustrate the landscape from a selection of 'emerging economy' countries with available data from UNAIDS, World Bank and World Obesity Federation to visualize the developing challenges faced. AOM course prices are high in many countries, but could be manufactured and sold profitably for much less. We present lessons from the early HIV/AIDS movements on how to improve access and pricing for AOMs for people with HIV with obesity in emerging economy countries. SUMMARY We illustrate the complex intersectional issues that 'emerging economy countries' may experience, with a 'double burden' of increasing HIV and obesity epidemics, and explore potential mitigation options, focussing on AOM access and pricing.
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Affiliation(s)
- Jacob Levi
- Charité University Hospital, Berlin Institute of Tropical Medicine and International Health, Südring 2-3, Berlin, Germany
| | - Cassandra Fairhead
- Charité University Hospital, Berlin Institute of Tropical Medicine and International Health, Südring 2-3, Berlin, Germany
| | - Andrew Hill
- Department of Pharmacology and Therapeutics, Liverpool University, Liverpool, UK
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Manne-Goehler J, Rahim N, van Empel E, de Vlieg R, Chamberlin G, Ihama A, Castle A, Mabweazara S, Venter WDF, Chandiwana N, Levitt NS, Siedner M. Perceptions of Health, Body Size, and Nutritional Risk Factors for Obesity in People with HIV in South Africa. AIDS Behav 2024; 28:367-375. [PMID: 37632604 PMCID: PMC10841992 DOI: 10.1007/s10461-023-04152-7] [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] [Accepted: 07/26/2023] [Indexed: 08/28/2023]
Abstract
Metabolic disease is increasing in people with HIV (PWH) in South Africa, but little is known about self-perceptions of body size, health, and nutritional behavior in this population. We performed a cross-sectional analysis of individual-level data from the 2016 South Africa Demographic and Health Survey. This survey measured HIV serostatus and body mass index (BMI). We categorized participants into six BMI groups: 18.5-22 kg/m2, 22-25 kg/m2, 25-27.5 kg/m2, 27.5-30 kg/m2, 30-35 kg/m2, and ≥ 35 kg/m2 and stratified them by HIV serostatus. Our outcomes were self-reported (1) body size and (2) health status among all participants, and intake of (3) chips and (4) sugar-sweetened beverages (SSB) in PWH. We described these metrics and used multivariable regression to evaluate the relationship between the nutritional behaviors and BMI ≥ 25 kg/m2 in PWH only, adjusting for age, sex, educational attainment, and household wealth quintile. Of 6138 participants, 1163 (19.7%) were PWH. Among PWH, < 10% with a BMI 25-30 kg/m2, < 20% with a BMI 30-35 kg/m2 and < 50% with a BMI ≥ 35 kg/m2 self-reported as overweight or obese. PWH reported being in poor health at higher rates than those without HIV at each BMI category except ≥ 35 kg/m2. In adjusted models, SSB consumption was associated with BMI ≥ 25 kg/m2 (1.13 [1.01-1.25], t-statistic = 2.14, p = 0.033) in PWH. Perceptions of body size may challenge efforts to prevent weight gain in PWH in South Africa. SSB intake reduction should be further explored as a modifiable risk factor for obesity.
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Affiliation(s)
- Jennifer Manne-Goehler
- Medical Practice Evaluation Center and Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- MRC/Wits Rural Public Health and Heath Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
| | - Nicholas Rahim
- Medical Practice Evaluation Center and Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Eva van Empel
- Foundation for General Practitioner Training, UMC Utrecht, Utrecht, The Netherlands
| | - Rebecca de Vlieg
- Foundation for General Practitioner Training, Maastricht University, Eindhoven, The Netherlands
| | - Grace Chamberlin
- University of North Carolina - Chapel Hill, Chapel Hill, NC, USA
| | | | - Alison Castle
- Medical Practice Evaluation Center and Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Africa Health Research Institute, Kwazulu-Natal, South Africa
| | | | - Willem D F Venter
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nomathemba Chandiwana
- Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Naomi S Levitt
- Chronic Disease Initiative for Africa, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Mark Siedner
- Medical Practice Evaluation Center and Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Africa Health Research Institute, Kwazulu-Natal, South Africa
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Brennan AT, Lauren E, Bor J, George JA, Chetty K, Mlisana K, Dai A, Khoza S, Rosen S, Stokes AC, Raal F, Hibberd P, Alexanian SM, Fox MP, Crowther NJ. Gaps in the type 2 diabetes care cascade: a national perspective using South Africa's National Health Laboratory Service (NHLS) database. BMC Health Serv Res 2023; 23:1452. [PMID: 38129852 PMCID: PMC10740239 DOI: 10.1186/s12913-023-10318-9] [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: 10/03/2022] [Accepted: 11/14/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Research out of South Africa estimates the total unmet need for care for those with type 2 diabetes mellitus (diabetes) at 80%. We evaluated the care cascade using South Africa's National Health Laboratory Service (NHLS) database and assessed if HIV infection impacts progression through its stages. METHODS The cohort includes patients from government facilities with their first glycated hemoglobin A1c (HbA1c) or plasma glucose (fasting (FPG); random (RPG)) measured between January 2012 to March 2015 in the NHLS. Lab-diagnosed diabetes was defined as HbA1c ≥ 6.5%, FPG ≥ 7.0mmol/l, or RPG ≥ 11.1mmol/l. Cascade stages post diagnosis were retention-in-care and glycaemic control (defined as an HbA1c < 7.0% or FPG < 8.0mmol/l or RPG < 10.0mmol/l) over 24-months. We estimated gaps at each stage nationally and by people living with HIV (PLWH) and without (PLWOH). RESULTS Of the 373,889 patients tested for diabetes, 43.2% had an HbA1c or blood glucose measure indicating a diabetes diagnosis. Amongst those with lab-diagnosed diabetes, 30.9% were retained-in-care (based on diabetes labs) and 8.7% reached glycaemic control by 24-months. Prevalence of lab-diagnosed diabetes in PLWH was 28.6% versus 47.3% in PLWOH. Among those with lab-diagnosed diabetes, 34.3% of PLWH were retained-in-care versus 30.3% PLWOH. Among people retained-in-care, 33.8% of PLWH reached glycaemic control over 24-months versus 28.6% of PLWOH. CONCLUSIONS In our analysis of South Africa's NHLS database, we observed that 70% of patients diagnosed with diabetes did not maintain in consistent diabetes care, with fewer than 10% reaching glycemic control within 24 months. We noted a disparity in diabetes prevalence between PLWH and PLWOH, potentially linked to different screening methods. These differences underscore the intricacies in care but also emphasize how HIV care practices could guide better management of chronic diseases like diabetes. Our results underscore the imperative for specialized strategies to bolster diabetes care in South Africa.
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Affiliation(s)
- Alana T Brennan
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA.
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Evelyn Lauren
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jacob Bor
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Jaya A George
- Wits Diagnostic Innovation Hub, University of the Witwatersrand, Johannesburg, South Africa
| | - Kamy Chetty
- National Health Laboratory Service, Johannesburg, South Africa
| | - Koleka Mlisana
- Academic Affairs, Research & Quality Assurance, National Health Laboratory Service, Johannesburg, South Africa
| | - Andrew Dai
- Department of Mathematics and Statistics, Boston University, Boston, USA
| | - Siyabonga Khoza
- National Health Laboratory Service, Johannesburg, South Africa
- Department of Chemical Pathology, University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa
| | - Sydney Rosen
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Andrew C Stokes
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | - Frederick Raal
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Patricia Hibberd
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | | | - Matthew P Fox
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Nigel J Crowther
- National Health Laboratory Service, Johannesburg, South Africa
- Department of Chemical Pathology, University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa
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Moyo-Chilufya M, Maluleke K, Kgarosi K, Muyoyeta M, Hongoro C, Musekiwa A. The burden of non-communicable diseases among people living with HIV in Sub-Saharan Africa: a systematic review and meta-analysis. EClinicalMedicine 2023; 65:102255. [PMID: 37842552 PMCID: PMC10570719 DOI: 10.1016/j.eclinm.2023.102255] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 09/18/2023] [Accepted: 09/18/2023] [Indexed: 10/17/2023] Open
Abstract
Background Non-communicable diseases (NCDs) are increasing among people living with HIV (PLHIV), especially in Sub-Saharan Africa (SSA). We determined the prevalence of NCDs and NCD risk factors among PLHIV in SSA to inform health policy makers. Methods We conducted a systematic review and meta-analysis on the prevalence of NCDs and risk factors among PLHIV in SSA. We comprehensively searched PubMed/MEDLINE, Scopus, and EBSCOhost (CINAHL) electronic databases for sources published from 2010 to July 2023. We applied the random effects meta-analysis model to pool the results using STATA. The systematic review protocol was registered on PROSPERO (registration number: CRD42021258769). Findings We included 188 studies from 21 countries in this meta-analysis. Our findings indicate pooled prevalence estimates for hypertension (20.1% [95% CI:17.5-22.7]), depression (30.4% [25.3-35.4]), diabetes (5.4% [4.4-6.4]), cervical cancer (1.5% [0.1-2.9]), chronic respiratory diseases (7.1% [4.0-10.3]), overweight/obesity (32.2% [29.7-34.7]), hypercholesterolemia (21.3% [16.6-26.0]), metabolic syndrome (23.9% [19.5-28.7]), alcohol consumption (21.3% [17.9-24.6]), and smoking (6.4% [5.2-7.7]). Interpretation People living with HIV have a high prevalence of NCDs and their risk factors including hypertension, depression, overweight/obesity, hypercholesterolemia, metabolic syndrome and alcohol consumption. We recommend strengthening of health systems to allow for improved integration of NCDs and HIV services in public health facilities in SSA. NCD risk factors such as obesity, hypercholesterolemia, and alcohol consumption can be addressed through health promotion campaigns. There is a need for further research on the burden of NCDs among PLHIV in most of SSA. Funding This study did not receive any funding.
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Affiliation(s)
- Maureen Moyo-Chilufya
- Faculty of Health Sciences, School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Kuhlula Maluleke
- Faculty of Health Sciences, School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Kabelo Kgarosi
- Faculty of Health Sciences, School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Monde Muyoyeta
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Charles Hongoro
- Faculty of Health Sciences, School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
- Human Sciences Research Council, Pretoria, South Africa
| | - Alfred Musekiwa
- Faculty of Health Sciences, School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
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Cuadros DF, Devi C, Singh U, Olivier S, Castle A, Moosa Y, Edwards JA, Kim HY, Siedner MJ, Wong EB, Tanser F. Convergence of HIV and non-communicable disease epidemics: Geospatial mapping of the unmet health needs in a HIV Hyperendemic South African community. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.27.23287807. [PMID: 37034610 PMCID: PMC10081404 DOI: 10.1101/2023.03.27.23287807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Background As people living with HIV (PLHIV) are experiencing longer survival, the co-occurrence of HIV and non-communicable diseases has become a public health priority. In response to this emerging challenge, we aimed to characterize the spatial structure of convergence of chronic health conditions in a HIV hyperendemic community in KwaZulu-Natal, South Africa. Methods We utilized data from a comprehensive population-based disease survey conducted in KwaZulu-Natal, South Africa, which collected data on HIV, diabetes, and hypertension. We implemented a novel health needs scale to categorize participants as: diagnosed and well-controlled (Needs Score 1), diagnosed and sub-optimally controlled (Score 2), diagnosed but not engaged in care (Score 3), or undiagnosed and uncontrolled (Score 4). Scores 2-4 were indicative of unmet health needs. We explored the geospatial structure of unmet health needs using different spatial clustering methods. Findings The analytical sample comprised of 18,041 individuals. We observed a similar spatial structure for HIV among those with a combined needs Score 2-3 (diagnosed but uncontrolled) and Score 4 (undiagnosed and uncontrolled), with most PLHIV with unmet needs clustered in the southern peri-urban area, which was relatively densely populated within the surveillance area. Multivariate clustering analysis revealed a significant overlap of all three diseases in individuals with undiagnosed and uncontrolled diseases (unmet needs Score 4) in the southern part of the catchment area. Interpretation In a HIV hyperendemic community in South Africa, areas with the highest needs for PLHIV with undiagnosed and uncontrolled disease are also areas with the highest burden of unmet needs for other chronic health conditions, such as diabetes and hypertension. The identification and prioritization of geographically clustered vulnerable communities with unmet health needs for both HIV and non-communicable diseases provide a basis for policy and implementation strategies to target communities with the highest health needs. Funding Research reported in this publication was supported by the Fogarty International Center (R21 TW011687; D43 TW010543), the National Institute of Mental Health, the National Institute of Allergy and Infectious Diseases (K24 HL166024; T32 AI007433) of the National Institutes of Health, and Heart Lung and Blood Institute (K24 HL166024, T32 AI007433). The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the official views of the funders.
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Affiliation(s)
- Diego F Cuadros
- Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA
| | - Chayanika Devi
- Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA
| | - Urisha Singh
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Stephen Olivier
- Africa Health Research Institute, KwaZulu-Natal, South Africa
| | - Alison Castle
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | - Johnathan A Edwards
- International Institute for Rural Health, University of Lincoln, Lincolnshire, UK
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory University School of Medicine, Emory University, Atlanta, GA, USA
| | - Hae-Young Kim
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Mark J. Siedner
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- School of Clinical Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Emily B Wong
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Division of Infectious Diseases, University of Alabama Birmingham, Birmingham, AL, USA
| | - Frank Tanser
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
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Cuadros DF, Moreno CM, Tomita A, Singh U, Olivier S, Castle A, Moosa Y, Edwards JA, Kim HY, Siedner MJ, Wong EB, Tanser F. Geospatial assessment of the convergence of communicable and non-communicable diseases in South Africa. JOURNAL OF MULTIMORBIDITY AND COMORBIDITY 2023; 13:26335565231204119. [PMID: 37781137 PMCID: PMC10540575 DOI: 10.1177/26335565231204119] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Introduction Several low-and middle-income countries are undergoing rapid epidemiological transition with a rising burden of non-communicable diseases (NCDs). South Africa (SA) is a country with one of the largest HIV epidemics worldwide and a growing burden of NCDs where the collision of these epidemics poses a major public health challenge. Methods Using data from a large nationally representative survey, the South Africa Demographic and Health Survey (SADHS 2016), we conducted a geospatial analysis of several diseases including HIV, tuberculosis (TB), cardiovascular, respiratory, and metabolic diseases to identify areas with a high burden of co-morbidity within the country. We explored the spatial structure of each disease and associations between diseases using different spatial and visual data methodologies. We also assessed the individual level co-occurrence of HIV and the other diseases included in the analysis. Results The spatial distribution for HIV prevalence showed that this epidemic is most intense in the eastern region of the country, mostly within the Gauteng, Mpumalanga, and Kwazulu-Natal provinces. In contrast, chronic diseases had their highest prevalence rates the southern region of the country, particularly in the Eastern and Western Cape provinces. Individual-level analyses were consistent with the spatial correlations and found no statistically significant associations between HIV infection and the presence of any NCDs. Conclusions We found no evidence of geospatial overlap between the HIV epidemic and NCDs in SA. These results evidence the complex epidemiological landscape of the country, characterized by geographically distinct areas exhibiting different health burdens. The detailed description of the heterogenous prevalence of HIV and NCDs in SA reported in this study could be a useful tool to inform and direct policies to enhance targeted health service delivery according to the local health needs of each community.
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Affiliation(s)
- Diego F Cuadros
- Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA
| | - Claudia M Moreno
- Howard Hughes Medical Institute, Department of Physiology and Biophysics, University of Washington School of Medicine, Seattle, WA, USA
| | - Andrew Tomita
- Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Urisha Singh
- Clinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa
- Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Stephen Olivier
- Clinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa
| | - Alison Castle
- Clinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Global Health and Population, Harvard Medical School, Boston, MA, USA
| | - Yumna Moosa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Clinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa
| | - Johnathan A Edwards
- International Institute for Rural Health, University of Lincoln, Lincolnshire, UK
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, USA
| | - Hae-Young Kim
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Mark J Siedner
- Clinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Global Health and Population, Harvard Medical School, Boston, MA, USA
- School of Clinical Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Emily B Wong
- Clinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa
- Division of Infectious Diseases, University of Alabama Birmingham, Birmingham, AL, USA
| | - Frank Tanser
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
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