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

References

• Pillay-van Wyk V, Msemburi W, Laubscher R, et al. Mortality trends and differentials in South Africa from 1997 to 2012: second national burden of disease study. Lancet Glob Health. 2016;4:e642–9.
   PubMed Web of Science ®Google Scholar
• Mayosi BM, Flisher AJ, Lalloo UG, et al. The burden of non-communicable diseases in South Africa. Lancet. 2009;374(9693):934–947.
   PubMed Web of Science ®Google Scholar
• Coovadia H, Jewkes R, Barron P, et al. The health and health system of South Africa: historical roots of current public health challenges. Lancet. 2009;374:817–834.
   PubMed Web of Science ®Google Scholar
• Mayosi BM, Benatar SR. Health and health care in South Africa—20 years after Mandela. N Engl J Med. 2014;371(14):1344–1353.
   PubMed Web of Science ®Google Scholar
• Dismod BJ II [Internet]. 2018. [cited 2019 Dec 12]; Available from: http://www.epigear.com/index_files/dismod_ii.html
   Google Scholar
• Barendregt J, Van Oortmarssen G, Vos T, et al. A generic model for the assessment of disease epidemiology: the computational basis of DisMod II. Popul Health Metr. 2003;1(1):4.
   Google Scholar
• Roomaney RA, Pillay-van Wyk V, Awotiwon OF, et al. Availability and quality of routine morbidity data: review of studies in South Africa. J Am Med Inform Assoc. 2016;ocw075:1–9.
   Google Scholar
• Pillay-van Wyk V, Bradshaw D, Msemburi W, et al., editors. Trend in HIV/AIDS deaths in South Africa: are we winning the battle against HIV/AIDS? AIDS 2016: 21st International AIDS Conference; 2016; Durban, South Africa.
   Google Scholar
• Murray CJL, Ortblad KF, Guinovart C, et al. Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990-2013: a systematic analysis for the global burden of disease study 2013. Lancet. 2014;384:1005–1070.
   PubMed Web of Science ®Google Scholar
• Joint United Nations Programme on HIV/AIDS, Editor future tools for national estimates and epidemiological analyses. Report of a meeting of the UNAIDS reference group on estimates, modelling and projections held in London, UK, 19-20 January 2010. Technical Report and Recommendations. 2010; London.
   Google Scholar
• Stover J, Andreev K, Slaymaker E, et al. Updates to the spectrum model to estimate key HIV indicators for adults and children. AIDS. 2014;28(4):S427.
   Google Scholar
• Pillay-van Wyk V, Msemburi W, Dorrington R, et al. HIV/AIDS mortality trends pre and post ART for 1997-2012 in South Africa–have we turned the tide? South Afr Med J. 2019;109(11b):41–44.
   Google Scholar
• Bertram MY, Katzenellenbogen J, Vos T, et al. The disability adjusted life years due to stroke in South Africa in 2008. Int J Stroke. 2013;8(Suppl A100):76–80.
   Google Scholar
• Bertram MY, Jaswal AV, Van Wyk VP, et al. The non-fatal disease burden caused by type 2 diabetes in South Africa, 2009. Glob Health Action. 2013;6:206–212.
   Web of Science ®Google Scholar
• Actuarial Society of South Africa. AIDS models [Internet] n.d. [ cited 2019 Dec 12]; Available from: https://www.actuarialsociety.org.za/downloads/committee-activities/aids-models/
   Google Scholar
• Department of Health MRC, OrcMacro. South Africa Demographic and Health Survey 2003. Department of Health Pretoria. 2007.
   Google Scholar
• Katzenellenbogen JM, Vos T, Somerford P, et al. Excess mortality rates for estimating the non-fatal burden of stroke in Western Australia: a data linkage study. Cerebrovasc Dis. 2010;30(1):57–64.
   Web of Science ®Google Scholar
• Katzenellenbogen JM, Begg S, Somerford P, et al. Disability burden due to stroke in Western Australia: new insights from linked data sources. Int J Stroke. 2010;5:269–277.
   PubMed Web of Science ®Google Scholar
• Groenewald AJ, van Wyk HJ, Walsh CM, et al. Prevalence of diabetes mellitus in the rural southern free state. South Afr Family Pract. 2009;51:502–505.
   Google Scholar
• Motala AA, Esterhuizen T, Gouws E, et al. Diabetes and other disorders of glycemia in a rural South African community: prevalence and associated risk factors. Diabetes Care. 2008;31(9):1783–1788.
   PubMed Web of Science ®Google Scholar
• Stewart S, Carrington MJ, Pretorius S, et al. Elevated risk factors but low burden of heart disease in urban African primary care patients: a fundamental role for primary prevention. Int J Cardiol. 2012;158(2):205–210.
   Web of Science ®Google Scholar
• Peer N, Steyn K, Lombard C, et al. Rising diabetes prevalence among urban-dwelling black South Africans. PLoS One. 2012;7(9):e43336.
   PubMed Web of Science ®Google Scholar
• Woodward M, Zhang X, Barzi F, et al. The effects of diabetes on the risks of major cardiovascular diseases and death in the Asia-Pacific region. Diabetes Care. 2003;26:360–366.
   PubMed Web of Science ®Google Scholar
• Dorrington RE 2013. Alternative South African mid-year estimates 2013. Cape Town: centre for actuarial research. University of Cape Town. Available from: https://www.commerce.uct.ac.za/Research_Units/CARE/Monographs/Monographs/Mono13.pdf.
   Google Scholar
• Vos T BRM, Bell B, Bertozzi-Villa A, Biryukov S, Bolliger I, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(9995):743-800. https://doi.org/https://doi.org/10.1016/S0140-6736(15)60692-4.
   Google Scholar
• Wandai M, Aagaard-Hansen J, Day C, et al. Available data sources for monitoring non-communicable diseases and their risk factors in South Africa. S Afr Med J. 2017;107:331–337.
   Web of Science ®Google Scholar
• GBD Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990 - 2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1789-858. doi:https://doi.org/10.1016/S0140-6736(18)32279-7.
   Google Scholar