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Research Article

Mortality transition over a quarter century in rural South Africa: findings from population surveillance in Agincourt 1993-2018

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Article: 1990507 | Received 30 Jun 2021, Accepted 04 Oct 2021, Published online: 04 Apr 2022

References

  • Omran AR. The epidemiologic transition: a theory of the epidemiology of population change. The Milbank Memorial Fund Quarterly 49(4) . 1971. p. 1–11.
  • Rogers RG, Hackenberg R. Extending epidemiologic transition theory: a new stage. Social Biol. 1987;34:234.
  • Olshansky SJ, Ault AB. The fourth stage of the epidemiologic transition: the age of delayed degenerative diseases. Milbank Mem Fund Q. 1986;64:355–391.
  • Caselli G, Mesle F, Vallin J. Epidemiologic transition theory exceptions. Genus. 2002;58:9–51.
  • Frenk J, Bobadilla JL, SEPUúLVEDA J, et al. Health transition in middle-income countries: new challenges for health care. Health Policy Plan. 1989;4:29.
  • Kahn K, Garenne ML, Collinson MA, et al., Mortality trends in a new South Africa: hard to make a fresh start. 2007;Scand J Public Health. 35:26.
  • Moser K, Shkolnikov V, Leon DA. World mortality 1950-2000: divergence replaces convergence from the late 1980s. Bull World Health Organ. 2005;83:202–209.
  • Omran A R. The epidemiologic transition theory revisited thirty years later. World Health Statistics Quarterly. 1998;51:99–119.
  • Masquelier B, Waltisperger D, and Ralijaona O, et al. The epidemiological transition in Antananarivo, Madagascar: an assessment based on death registers (1900-2012). Glob Health Action. 2014 7 (1) ;23237.
  • Agyei-Mensah S, Aikins A-G. Epidemiological transition and the double burden of disease in Accra, Ghana. J Urban Health. 2010;87:879–897.
  • Bawah A, Houle B, Alam N, et al. The evolving demographic and health transition in four low-and middle-income countries: evidence from four sites in the indepth network of longitudinal health and demographic surveillance systems. PloS One. 2016;11:e0157281.
  • Engelaer FM, Koopman JJE, van Bodegom D, et al. Determinants of epidemiologic transition in rural Africa: the role of socioeconomic status and drinking water source. Trans R Soc Trop Med Hyg. 2014;108:372–379.
  • Santosa A, Wall S, and Fottrell E, et al. The development and experience of epidemiological transition theory over four decades: a systematic review. Glob Health Action. 2014 7 (1) ;23574.
  • Santosa A, Byass P. Diverse empirical evidence on epidemiological transition in low-and middle-income countries: population-based findings from INDEPTH network data. PloS One. 2016;11:e0155753.
  • United Nations DoEaSA, Population Division. World population prospects: the 2010 revision, CD-ROM Edition. 2011.
  • Bradshaw D, Laubscher R, Dorrington R, et al. Unabated rise in number of adult deaths in South Africa. South Afr Med J. 2004;94:278–279.
  • Kabudula CW, Houle B, Collinson MA, et al. Progression of the epidemiological transition in a rural South African setting: findings from population surveillance in Agincourt, 1993–2013. BMC Public Health. 2017;17:424.
  • Karim Salim SA, Churchyard GJ, Karim QA, et al. HIV infection and tuberculosis in South Africa: an urgent need to escalate the public health response. Lancet. 2009;374:921–933.
  • Tollman SM, Kahn K, Garenne M, et al. Reversal in mortality trends: evidence from the Agincourt field site, South Africa, 1992-1995. AIDS. 1999;13:1091–1097.
  • Zwang J, Garenne M, Kahn K, et al. Trends in mortality from pulmonary tuberculosis and HIV/AIDS co-infection in rural South Africa (Agincourt). Trans R Soc Trop Med Hyg. 2007;101:893–898.
  • 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–e53.
  • Mayosi BM, Lawn JE, Van Niekerk A, et al. Health in South Africa: changes and challenges since 2009. Lancet. 2012;380:2029–2043.
  • Herbst AJ, Cooke GS, Bärnighausen T, et al. Adult mortality and antiretroviral treatment roll-out in rural KwaZulu-Natal, South Africa. Bull World Health Organ. 2009;87:754–762.
  • Herbst AJ, Mafojane T, Newell M-L. Verbal autopsy-based cause-specific mortality trends in rural KwaZulu-Natal, South Africa, 2000-2009. Popul Health Metr. 2011;9:47.
  • Kabudula CW, Tollman S, and Mee P, et al. Two decades of mortality change in rural northeast South Africa. Glob Health Action. 2014 7 (1) ;25596.
  • Modig K, Rau R, Ahlbom A. Life expectancy: what does it measure? BMJ Open. 2020;10:e035932.
  • Kahn K, Collinson MA, Gómez-Olivé FX, et al. Profile: agincourt health and socio-demographic surveillance system. Int J Epidemiol. 2012;41:988–1001.
  • Kahn K, Tollman SM, Collinson MA, et al. Research into health, population and social transitions in rural South Africa: data and methods of the agincourt health and demographic surveillance system. Scand J Public Health. 2007;35:8–20.
  • Clark SJ, Collinson MA, Kahn K, et al. Returning home to die: circular labour migration and mortality in South Africa 1. Scand J Public Health. 2007;35:35–44.
  • Houle B, Clark SJ, Gómez-Olivé FX, et al. The unfolding counter-transition in rural South Africa: mortality and cause of death, 1994–2009. PLoS One. 2014;9:e100420.
  • Kabudula CW, Houle B, Collinson MA, et al. Socioeconomic differences in mortality in the antiretroviral therapy era in Agincourt, rural South Africa, 2001-13: a population surveillance analysis. Lancet Glob Health. 2017;5:e924–e35.
  • Byass P, Hussain-Alkhateeb L, D’Ambruoso L, et al. An integrated approach to processing WHO-2016 verbal autopsy data: the InterVA-5 model. BMC Med. 2019;17:1–12.
  • Kahn K, Tollman SM, Garenne M, et al. Validation and application of verbal autopsies in a rural area of South Africa. Trop Med Int Health. 2000;5:824–831.
  • Byass P, Kahn K, Fottrell E, et al. Using verbal autopsy to track epidemic dynamics: the case of HIV-related mortality in South Africa. Popul Health Metr. 2011;9:46.
  • Byass P, Huong DL, Van Minh H. A probabilistic approach to interpreting verbal autopsies: methodology and preliminary validation in Vietnam. Scand J Public Health. 2003;31:32–37.
  • Allison PD. Event history analysis: regression for longitudinal event data. Thousand Oaks CA: Sage; 1984.
  • Allison PD. Discrete-time methods for the analysis of event histories. Sociological Methodol. 1982;13:61–98.
  • Allison PD. Survival analysis using SAS: a practical guide. Sas Institute Inc, Cary, North Carolina, USA; 2010.
  • Efron B. Logistic regression, survival analysis, and the Kaplan-Meier curve. J Am Stat Assoc. 1988;83:414–425.
  • Van Hook J, and Altman CE, Using discrete-time event history fertility models to simulate total fertility rates and other fertility measures. 2013; Population research and policy review. 32 (4) :585–610.
  • Liu P, Li C, Wang Y, et al. The impact of the major causes of death on life expectancy in China: a 60-year longitudinal study. BMC Public Health. 2014;14:1–8.
  • Conti S, Farchi G, Masocco M, et al. The impact of the major causes of death on life expectancy in Italy. Int J Epidemiol. 1999;28:905–910.
  • Gavurova B, Vagasova T. Potential gains in life expectancy by eliminating deaths from cardiovascular diseases and diabetes mellitus in the working life ages among Slovak population. Health Econ Rev. 2018;8:1–8.
  • Wang G, Lai D, Burau K, et al. Potential gains in life expectancy from reducing heart disease, cancer, Alzheimer’s disease, kidney disease or HIV/AIDS as major causes of death in the USA. Public Health. 2013;127:348–356.
  • World Bank data archive. https://data.worldbank.org
  • DataFirst DataFirst online microdata library. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/central
  • Birnbaum JK, Murray CJ, Lozano R. Exposing misclassified HIV/AIDS deaths in South Africa. Bull World Health Organ. 2011;89:278–285.
  • Groenewald P, Bradshaw D, Dorrington R, et al. Identifying deaths from AIDS in South Africa: an update. Aids. 2005;19:744–745.
  • Joubert J, Bradshaw D, Kabudula C, et al. Record-linkage comparison of verbal autopsy and routine civil registration death certification in rural north-east South Africa: 2006-09. Int J Epidemiol. 2014;43:1945–1958.
  • Bangha M, Diagne A, and Bawah A, et al. Monitoring the millennium development goals: the potential role of the INDEPTH Network. In: Global Health Action 3(1) . 2010. p. 5517.
  • Sankoh O. Global health estimates: stronger collaboration needed with low-and middle-income countries. PLoS Med. 2010;7:e1001005.
  • Sankoh O, The BP. INDEPTH Network: filling vital gaps in global epidemiology. Int J Epidemiol. 2012;41:579–588.
  • Ye Y, Wamukoya M, Ezeh A, et al. Health and demographic surveillance systems: a step towards full civil registration and vital statistics system in sub-Sahara Africa? BMC Public Health. 2012;12:741.
  • Tollman SM, Kahn K, Sartorius B, et al. Implications of mortality transition for primary health care in rural South Africa: a population-based surveillance study. Lancet. 2008;372:893–901.
  • Byass P, Kahn K, Fottrell E, et al. Moving from data on deaths to public health policy in agincourt, South Africa: approaches to analysing and understanding verbal autopsy findings. PLoS Med. 2010;7:e1000325.
  • Huong DL, Van Minh H, Janlert U, et al. others. Socio-economic status inequality and major causes of death in adults: a 5-year follow-up study in rural Vietnam. Public Health. 2006;120:497–504.
  • Siedner MJ, Kraemer JD, Meyer MJ, et al. Access to primary healthcare during lockdown measures for COVID-19 in rural South Africa: an interrupted time series analysis. BMJ Open. 2020;10:e043763.
  • James SL, Flaxman AD, Murray CJ. Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies. Popul Health Metr. 2011;9:31.
  • McCormick TH, Li ZR, Calvert C, et al. Probabilistic cause-of-death assignment using verbal autopsies. J Am Stat Assoc. 2016;111:1036–1049.
  • Reniers G, Blom S, Calvert C, et al. Trends in the burden of HIV mortality after roll-out of antiretroviral therapy in KwaZulu-Natal, South Africa: an observational community coho rt study. Lancet HIV. 2017;4:e113–e21.
  • Byass P, Herbst K, Fottrell E, et al. Comparing verbal autopsy cause of death findings as determined by physician coding and probabilistic modelling: a public health analysis of 54 000 deaths in Africa and Asia. J Glob Health. 2015;5:1.
  • MRC/wits rural public health and health transitions research unit (Agincourt) data repository. https://data.agincourt.co.za/index.php/home
  • INDEPTH Network Data Repository. http://www.indepth-ishare.org
  • SAPRIN data repository. http://saprindata.samrc.ac.za/index.php/catalog