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Victoria Pillay‐van Wyk

Datos Biográficos

ID7893752
NOMBREVictoria Pillay‐van Wyk
NOMBRESVictoria
APELLIDOPillay‐van Wyk
FIRMAVAN WYK V P
AFILIACIONESSouth African Medical Research Council
ORCID0000-0001-8772-7197
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS5
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2009
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H1
  • Aging with HIV

    Open Access•Rifqah Abeeda Roomaney, Brian Van Wyk et al.•ARTICLE•International Journal of…•2022

    With improved access to antiretroviral treatment (ART), adults with HIV live longer to reach older age. The number of older adults living with HIV is increasing steadily, giving rise to a new population of interest in HIV research and for invigorated considerations in health service delivery and policy. We analysed the profile of comorbidities in older people (50 years and older) living with HIV in South Africa. We conducted a secondary analysis …

  • Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa

    Open Access•Victoria Pillay‐van Wyk, Rifqah Abeeda Roomaney et al.•ARTICLE•Global Health Action•2021

    Background: The Global Burden of Disease (GBD) approach estimates disease burden by combining fatal (years of life lost) and non-fatal burden prevalence-based years of life lived with disability (PYLDs) estimates. Although South Africa has data to estimate mortality, prevalence data to estimate non-fatal burden are sparse. PYLD estimates from the GBD study for South Africa can potentially be used. However, there is a divergence in mortality estim…

  • Mortality trends and differentials in South Africa from 1997 to 2012

    Open Access•Victoria Pillay-Van Wyk, Victoria Pillay‐van Wyk et al.•ARTICLE•The Lancet Global Health•2016

    BACKGROUND: The poor health of South Africans is known to be associated with a quadruple disease burden. In the second National Burden of Disease (NBD) study, we aimed to analyse cause of death data for 1997-2012 and develop national, population group, and provincial estimates of the levels and causes of mortality. METHOD: We used underlying cause of death data from death notifications for 1997-2012 obtained from Statistics South Africa. These da…

  • The non-fatal disease burden caused by type 2 diabetes in South Africa, 2009

    Open Access•Melanie Y Bertram, Melanie Bertram et al.•ARTICLE•Global Health Action•2013

    BACKGROUND: Increasing urbanisation and rising unhealthy lifestyle risk factors are contributing to a growing diabetes epidemic in South Africa. In 2000, a study estimated diabetes prevalence to be 5.5% in those aged over 30. Accurate, up-to-date information on the epidemiology and burden of disease due to diabetes and its sequelae is essential in the planning of health services for diabetes management. OBJECTIVE: To calculate the non-fatal burde…

  • Sexual behaviour patterns in South Africa and their association with the spread of HIV

    Open Access•Leigh Johnson, Rob Dorrington et al.•ARTICLE•Demographic Research•2009•Citada por: 5•Referencias: 104

    This paper aims to quantify the effects of different types of sexual risk behaviour on the spread of HIV in South Africa. A mathematical model is developed to simulate changes in numbers of sexual partners, changes in marital status, changes in commerc

  • Sexual behaviour patterns in South Africa and their association with the spread of HIV

    Open Access•Leigh Johnson, Rob Dorrington et al.•ARTICLE•Demographic Research•2009•Citada por: 5•Referencias: 104

    This paper aims to quantify the effects of different types of sexual risk behaviour on the spread of HIV in South Africa. A mathematical model is developed to simulate changes in numbers of sexual partners, changes in marital status, changes in commerc

  • Sexual behaviour patterns in South Africa and their association with the spread of HIV

    Open Access•Leigh Johnson, Rob Dorrington et al.•ARTICLE•Demographic Research•2009•Citada por: 5•Referencias: 104

    This paper aims to quantify the effects of different types of sexual risk behaviour on the spread of HIV in South Africa. A mathematical model is developed to simulate changes in numbers of sexual partners, changes in marital status, changes in commerc

  • The non-fatal disease burden caused by type 2 diabetes in South Africa, 2009

    Open Access•Melanie Y Bertram, Melanie Bertram et al.•ARTICLE•Global Health Action•2013

    BACKGROUND: Increasing urbanisation and rising unhealthy lifestyle risk factors are contributing to a growing diabetes epidemic in South Africa. In 2000, a study estimated diabetes prevalence to be 5.5% in those aged over 30. Accurate, up-to-date information on the epidemiology and burden of disease due to diabetes and its sequelae is essential in the planning of health services for diabetes management. OBJECTIVE: To calculate the non-fatal burde…

  • Mortality trends and differentials in South Africa from 1997 to 2012

    Open Access•Victoria Pillay-Van Wyk, Victoria Pillay‐van Wyk et al.•ARTICLE•The Lancet Global Health•2016

    BACKGROUND: The poor health of South Africans is known to be associated with a quadruple disease burden. In the second National Burden of Disease (NBD) study, we aimed to analyse cause of death data for 1997-2012 and develop national, population group, and provincial estimates of the levels and causes of mortality. METHOD: We used underlying cause of death data from death notifications for 1997-2012 obtained from Statistics South Africa. These da…

  • Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa

    Open Access•Victoria Pillay‐van Wyk, Rifqah Abeeda Roomaney et al.•ARTICLE•Global Health Action•2021

    Background: The Global Burden of Disease (GBD) approach estimates disease burden by combining fatal (years of life lost) and non-fatal burden prevalence-based years of life lived with disability (PYLDs) estimates. Although South Africa has data to estimate mortality, prevalence data to estimate non-fatal burden are sparse. PYLD estimates from the GBD study for South Africa can potentially be used. However, there is a divergence in mortality estim…

  • Aging with HIV

    Open Access•Rifqah Abeeda Roomaney, Brian Van Wyk et al.•ARTICLE•International Journal of…•2022

    With improved access to antiretroviral treatment (ART), adults with HIV live longer to reach older age. The number of older adults living with HIV is increasing steadily, giving rise to a new population of interest in HIV research and for invigorated considerations in health service delivery and policy. We analysed the profile of comorbidities in older people (50 years and older) living with HIV in South Africa. We conducted a secondary analysis …

Environmental health (4 obras) · Medicine (4 obras) · Population (4 obras) · Demography (3 obras) · Disease (3 obras) · Disease burden (3 obras) · Gerontology (3 obras) · Burden of disease (2 obras) · Cause of death (2 obras) · Diabetes mellitus (2 obras)

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