Quantification of patterns of multimorbidity to develop effective and efficient models of HIV, TB and NCD co-care in rural South Africa
Quantification of patterns of multimorbidity to develop effective and efficient models of HIV, TB and NCD co-care in rural South Africa
批准号:
10260533
负责人:
Frank Courteney Tanser
金额:
$16.64万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2023-06-30
关键词:
AIDS preventionAddressAdultAffectAfricaAfrica South of the SaharaAfricanAgeAge-YearsAlcohol consumptionAreaCardiovascular DiseasesCaringCharacteristicsClinicCommunitiesComplexDataDevelopmentDiabetes MellitusDiagnosisDiseaseEnrollmentEnsureEpidemicEpidemiologyGeneral PopulationGeographic DistributionGeographyGoalsHIVHIV InfectionsHIV/TBHealthHouseholdHuman immunodeficiency virus testHypertensionIndividualInfrastructureInvestigationLife ExpectancyLightMapsMethodologyModelingObesityObesity EpidemicPatternPhenotypePopulationPopulation SciencesPopulation SurveillancePrevalencePreventionResearchResearch InstituteResearch PersonnelRiskRisk FactorsRuralRural CommunitySchoolsService delivery modelSouth AfricaSouth AfricanSpatial DistributionStructureTechniquesTestingTobacco useUrsidae Familyagedantiretroviral therapybaseburden of illnesscare deliverycohortcomorbiditydesigndisorder riskepidemiological modelfast foodhealth care deliverymHealthmultiple chronic conditionsmultiple omicspopulation basedpopulation healthrural South Africascale upscreeningscreening servicestheoriestreatment services
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY
As HIV prevention and treatment efforts are successfully scaling up, life expectancies of individuals living with
HIV are approaching to that in the general population. In rural KwaZulu-Natal, South Africa, where adult HIV
prevalence exceeds 20%, a growing proportion of individuals living with HIV are aged over 50 years, putting
them at the risk of developing age-associated co-morbidities. To ensure effective screening, diagnosis, and
treatment efforts for HIV, TB and associated non-communicable diseases (NCDs), a comprehensive
understanding of the disease drivers and distribution, as well as the interactive mechanisms of the co-
epidemics among people living with HIV will be critical in sub-Saharan Africa (SSA).
Our overarching goal in this project is to quantify the overlap in the infectious (HIV and TB) and non-
communicable disease (hypertension, diabetes and obesity) epidemics and to determine their key individual,
familial, household, and geospatial risk factors to ultimately design an effective and efficient care delivery
model relevant to the overlapping epidemics in SSA. The project will take advantage of one of the largest
ongoing population-based HIV cohorts in the world – the Africa Health Research Institute’s population cohort.
Vukuzazi ("Wake up and know ourselves" in isiZulu), a multi-omics population science platform was
established in 2018 to add comprehensive health phenotyping for multiple diseases, including HIV, TB, and
diabetes, hypertension and diabetes to the ongoing longitudinal population surveillance platform. In light of the
syndemic theory framework, the project will leverage the fully integrated data from both research platforms and
utilize multilevel and spatial-temporal modelling to understand the interactive mechanisms and spatial
distribution of the co-epidemics. The epidemiological and spatial understanding of the co-epidemics will also
provide an opportunity to inform development of a co-care delivery model for integration of NCD care into
HIV/TB co-delivery models in a HIV hyperendemic rural African setting.
Building on one of the world’s largest ongoing population-based cohorts, the project will bring together a team
of investigators with diverse and complementary areas of expertise to establish a multilevel analytical,
methodological, and theoretical framework to address the emerging multimorbidity epidemic in South Africa
and other similar settings in SSA. This framework will be co-developed by US, UK and South African
investigators and trainees and will significantly enhance local capacity. Results from this study will be among
the first to disentangle the complex associations between the individual, familial, household and community
factors that impact HIV, TB and NCD risk in one of the world’s most severely affected populations. The results
of the project will provide critical information for the design of an effective and efficient co-care delivery model
for HIV and associated co-epidemics in rural SSA settings.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.2196/26073
发表时间:
2021-05-13
期刊:
JMIR public health and surveillance
影响因子:
8.5
作者:
[Harling G, Gómez-Olivé FX, Tlouyamma J, Mutevedzi T, Kabudula CW, Mahlako R, Singh U, Ohene-Kwofie D, Buckland R, Ndagurwa P, Gareta D, Gunda R, Mngomezulu T, Nxumalo S, Wong EB, Kahn K, Siedner MJ, Maimela E, Tollman S, Collinson M, Herbst K]
通讯作者:
Herbst K
DOI:
10.1016/s2214-109x(21)00176-5
发表时间:
2021-07
期刊:
The Lancet. Global health
影响因子:
--
作者:
[Wong EB, Olivier S, Gunda R, Koole O, Surujdeen A, Gareta D, Munatsi D, Modise TH, Dreyer J, Nxumalo S, Smit TK, Ording-Jespersen G, Mpofana IB, Khan K, Sikhosana ZEL, Moodley S, Shen YJ, Khoza T, Mhlongo N, Bucibo S, Nyamande K, Baisley KJ, Cuadros D, Tanser F, Grant AD, Herbst K, Seeley J, Hanekom WA, Ndung'u T, Siedner MJ, Pillay D, Vukuzazi Team]
通讯作者:
Vukuzazi Team
DOI:
10.1038/s41746-021-00471-y
发表时间:
2021-07-02
期刊:
NPJ digital medicine
影响因子:
15.2
作者:
[Fehr J, Konigorski S, Olivier S, Gunda R, Surujdeen A, Gareta D, Smit T, Baisley K, Moodley S, Moosa Y, Hanekom W, Koole O, Ndung'u T, Pillay D, Grant AD, Siedner MJ, Lippert C, Wong EB, Vukuzazi Team]
通讯作者:
Vukuzazi Team
DOI:
10.1186/s12910-022-00782-z
发表时间:
2022-04-18
期刊:
BMC MEDICAL ETHICS
影响因子:
2.7
作者:
[Luthuli, Manono, Ngwenya, Nothando, Gumede, Dumsani, Gunda, Resign, Gareta, Dickman, Koole, Olivier, Siedner, Mark J., Wong, Emily B., Seeley, Janet]
通讯作者:
Seeley, Janet
海外基金