Modelling determinants, impact, and space–time risk of age-specific mortality in rural South Africa: integrating methods to enhance policy relevance

References

• Cohen M. Changing patterns of infectious disease. Nature. 2000; 406: 726–67.10.3402/gha.v6i0.19239.
   Google Scholar
• Mathers C, Lopez A, Murray C. The burden of disease and mortality by condition: data, methods and results for 2001. Global burden of disease and risk factors. Lopez AD, Mathers CD, Ezzati M, Jamison D, Murray CJLOxford University Press. New York NY, 2006; 45–240.
   Google Scholar
• Mathers C, Fat D, Inoue M, Rao C, Lopez A. Counting the dead and what they died from: an assessment of the global status of cause of death data. Bull World Health Organ. 2005; 83: 171–7.
   PubMed Web of Science ®Google Scholar
• Kaufman J, Asuzu M, Rotimi C, Johnson O, Owoaje E, Cooper R. The absence of adult mortality data for sub-Saharan Africa: a practical solution. Bull World Health Organ. 1997; 75: 389–95.
   Web of Science ®Google Scholar
• Kuh D, Shlomo Y. A life course approach to chronic disease epidemiology. OxfordUK:Oxford University Press. 2004.
   Google Scholar
• Best N, Richardson S, Thomson A. A comparison of Bayesian spatial models for disease mapping. Stat Meth Med Res. 2005; 14: 35–9.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Walter S. Disease mapping: a historical perspective. Spatial epidemiology – methods and applications. Elliott PWJ, Best N, Briggs DJOxford University Press. OxfordUK, 2000; 223–39.
   Google Scholar
• Clements AC, Lwambo NJ, Blair L, Nyandindi U, Kaatano G, Kinung'hi S, et al.. Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania. Trop Med Int Health. 2006; 11: 490–503.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Rezaeian M, Dunn G, St Leger S, Appleby L. Geographical epidemiology, spatial analysis and geographical information systems: a multidisciplinary glossary. J Epidemiol Community Health. 2007; 61: 98–102.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Gobalet J, Thomas R. Demographic data and geographic information systems for decision making: the case of public health. Popul Res Pol Rev. 1996; 15: 537–48.
   Web of Science ®Google Scholar
• Feachem RG. Poverty and inequity: a proper focus for the new century. Bull World Health Organ. 2000; 78: 1–2.
   Web of Science ®Google Scholar
• Marmot M. Social determinants of health inequalities. Lancet. 2005; 365: 1099–104.
   PubMed Web of Science ®Google Scholar
• Tollman S, Herbst K, Garenne M, Gear J, Kahn K. The Agincourt demographic and health study: site description, baseline findings and implications. S Afr Med J. 1999; 89: 858–64.
   PubMed Web of Science ®Google Scholar
• Kahn K, Tollman S, Collinson M, Clark S, Twine R, Clarke B, 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; 69: 8–20.10.3402/gha.v6i0.19239.
   Web of Science ®Google Scholar
• Sartorius K, Sartorius B, Tollman S, Schatz E, Kirsten J, Collinson M. Rural poverty ynamics and refugee communities in South Africa: a spatial–temporal model. Popul Space Place. 2011. DOI: 10.3402/gha.v6i0.19239.
   Google Scholar
• Wikle C, Royle J. Spatial statistical modelling in biology. Mississauga. EOLSS Publishers Co. Ltd. ON, 2002
   Google Scholar
• Diggle P, Moyeed R, Tawn J. Model-based geostatistics (with discussion). Appl Stat. 1998; 48: 299–350.
   Google Scholar
• Spiegelhalter D, Thomas A, Best N. WinBUGS version 1.2 user manual Cambridge. MRC Biostatistics Unit. UK, 1999
   Google Scholar
• Langford I, Leyland A, Rashbas J, Goldstein H. Multilevel modeling of the geographic distribution of diseases. J R Stat Soc Ser C Appl Stat. 1999; 48: 253–68.10.3402/gha.v6i0.19239.
   Web of Science ®Google Scholar
• Sartorius B, Kahn K, Vounatsou P, Collinson M, Tollman S. Young and vulnerable: spatial-temporal trends and risk factors for infant mortality in rural South Africa (Agincourt), 1992–2007. BMC Public Health. 2010; 10: 645.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Sartorius B, Kahn K, Collinson MA, Vounatsou P, Tollman SM. Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child mortality in the Agincourt rural sub-district, South Africa, 2011–2007. Geospat Health. 1992; 5: 285–95.
   Google Scholar
• Gelfand A, Smith A. Sampling-based approaches to calculating marginal densities. J Am Stat Assoc. 1990; 85: 398–409.10.3402/gha.v6i0.19239.
   Web of Science ®Google Scholar
• Spiegelhalter D, Best N, Carlin B, van der Linde A. Bayesian measures of model complexity and fit. J R Stat Soc B. 2002; 64: 583–639.10.3402/gha.v6i0.19239.
   Google Scholar
• Kulldorff M, Nagarwalla N. Spatial disease clusters: detection and inference. Stat Med. 1995; 14: 799–810.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Gelfand A, Ravishanker N, Ecker M. Modeling and inference for point-referenced binary spatial data. Generalized linear models: a Bayesian perspective. Dey D, Ghosh S, Mallick BMarcel Dekker Inc. New York NY, 2000; 373–86.
   Google Scholar
• StataCorp. Stata Statistical Software: Release 12. College Station. , TX: StataCorp LP. 2011.
   Google Scholar
• Bradshaw D, Timaeus I, Dorrington R, Nannan N. Reversal in adult mortality trends in South Africa. International Conference on AIDS 2000. Durban, South Africa, 8–13July2000.
   Google Scholar
• Kahn K, Garenne M, Collinson M, Tollman S. Mortality trends in a new South Africa: hard to make a fresh start. Scand J Public Health Suppl. 2007; 69: 26–34.10.3402/gha.v6i0.19239.
   PubMedGoogle Scholar
• Tollman SM, Kahn K, Sartorius B, Collinson MA, Clark SJ, Garenne ML. Implications of mortality transition for primary health care in rural South Africa: a population-based surveillance study. Lancet. 2008; 372: 893–901.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Dolan CG, Tollman SM, Nkuna VG, Gear JS. The Links between legal status and environmental health: a case study of Mozambican refugees and their hosts in the Mpumalanga (Eastern Transvaal) Lowveld, South Africa. Health Hum Rights. 1997; 2: 62–84.10.3402/gha.v6i0.19239.
   Google Scholar
• Collinson MA. Striving against adversity: the dynamics of migration, health and poverty in rural South Africa. Glob Health Action. 2010; 3. DOI: 10.3402/gha.v6i0.19239.
   Google Scholar
• Becher H, Muller O, Jahn A, Gbangou A, Kynast-Wolf G, Kouyate B. Risk factors of infant and child mortality in rural Burkina Faso. Bull World Health Organ. 2004; 82: 265–73.
   PubMed Web of Science ®Google Scholar
• Hammer GP, Some F, Muller O, Kynast-Wolf G, Kouyate B, Becher H. Pattern of cause-specific childhood mortality in a malaria endemic area of Burkina Faso. Malar J. 2006; 5: 47.10.3402/gha.v6i0.19239.
   Web of Science ®Google Scholar
• Ronsmans C, Chowdhury ME, Dasgupta SK, Ahmed A, Koblinsky M. Effect of parent's death on child survival in rural Bangladesh: a cohort study. Lancet. 2010; 375: 2024–31.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Lurie M. Migration and AIDS in Southern Africa: a review. S Afr J Sci. 2000; 96: 343–7.
   Web of Science ®Google Scholar
• Collinson M, Tollman S, Kahn K, Clark S. Highly prevalent circular migration: households, mobility and economic status in rural South Africa. African Migration in Comparative Perspective Johannesburg. Tienda MFS, Tollman S, Preston-Whyte EWits University Press. South Africa, 2006; 194–216.
   Google Scholar
• Lurie MN, Williams BG, Zuma K, Mkaya-Mwamburi D, Garnett GP, Sweat MD, et al.. Who infects whom? HIV-1 concordance and discordance among migrant and non-migrant couples in South Africa. AIDS. 2003; 17: 2245–52.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Hosegood V, McGrath N, Herbst K, Timaeus I. The impact of adult mortality on household dissolution and migration in rural South Africa. AIDS. 2004; 18: 1585–90.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Stock R. Distance and the utilization of health facilities in rural Nigeria. Soc Sci Med. 1983; 17: 563–70.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Ali M, Jin Y, Kim D, De Z, Park J, Ochiai R, et al.. Spatial risk for gender-specific adult mortality in an area of southern China. Int J Health Geogr. 2007; 6: 31.10.3402/gha.v6i0.19239.
   Google Scholar
• Kahn K, Tollman SM, Collinson MA, Clark SJ, Twine R, Clark BD, 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 Suppl. 2007; 69: 8–20.10.3402/gha.v6i0.19239.
   PubMedGoogle Scholar
• Garenne M, Fauveau V. Potential and limits of verbal autopsies. Bull World Health Organ. 2006; 84: 164.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Kahn K, Tollman S, Garenne M, Gear J. Validation and application of verbal autopsies in a rural area of South Africa. Trop Med Int Health. 2000; 5: 824–31.10.3402/gha.v6i0.19239.
   PubMed Web of Science ®Google Scholar
• Sen K, Bonita R. Global health status: two steps forward, one step back. Lancet. 2000; 356: 577–82.10.3402/gha.v6i0.19239.
   Google Scholar
• Sartorius B, Kahn K, Vounatsou P, Collinson M, Tollman S. Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child (1–4) mortality in rural South Africa (Agincourt), 1992–2007. Geospat Health. 2011; 5: 285–95.
   Web of Science ®Google Scholar