Dying to count: Mortality surveillance in resource-poor settings

Global Health Action

Volumn 2, Issue 1, 2009, Pages

  Fottrell, Edward ^a  

^a UMEÅ UNIVERSITY   (Sweden)

Author keywords

Health and demographic surveillance systems; Mortality; Surveillance; Verbal autopsy

Indexed keywords

EID: 84871591839     PISSN: None     EISSN: 16549880     Source Type: Journal    
DOI: 10.3402/gha.v2i0.1926     Document Type: Article

References (52)

1. UN. United Nations Millennium Declaration. New York: United Nations; 2000.
2. UNDP. Human Development Report. New York: United Nations Development Programme; 1990.
3. Byass P. Who needs cause-of-death data? PLoS Med 2007; 4: e333.
4. Beaglehole R, Bonita R. Challenges for public health in the global context- prevention and surveillance. Scand J Public Health 2001; 29: 81-3.
5. Byass P. Person, place and time - but who, where, and when? Scand J Public Health 2001; 29: 84-6.
6. Hill K. Making deaths count. Bull World Health Organ 2006; 84: 162.
7. Cleland J. Demographic data collection in less developed countries 1946-1996. Popul Stud 1996; 50: 433-50.
8. Begg S, Rao C, Lopez AD. Design options for sample-based mortality surveillance. Int J Epidemiol 2005; 34: 1080-7.
9. Mathers CD, Ma Fat D, Inoue M, Rao C, Lopez AD. Counting the dead and what they died from: an assessment of the global status of cause of death data. BullWorld Health Organ 2005; 83: 171-7.
10. Setel PW, Macfarlane SB, Szreter S, Mikkelsen L, Jha P, Stout S, et al. A scandal of invisibility: making everyone count by counting everyone. Lancet 2007; 370: 1569-77.
11. Horton R. Counting for health. Lancet 2007; 370: 1526.
12. Graham W. Communication, Communication, Communication. Paper presented at: Delivering Safer Motherhood: Sharing the Evidence (IMMPACT Symposium), London, United Kingdom, February 2007. Available at: www.immpact-international.org/uploads/files/Session31_Immpact_WG_Communication_presentation.pdf (cited 1 December 2008).
13. Fottrell E. Dying to count: mortality surveillance methods in resource-poor settings. Thesis, University of Umeå, 2008.
14. INDEPTH: International Network of Field Sites With Continuous Demographic Evaluation of Populations and Their Health in Developing Countries [Homepage on the Internet]. Available from: www.indepth-network.org (cited 1 December 2008).
15. Evans T, Abou-Zahr C. INDEPTH@10: celebrate the past and illuminate the future. Global Health Action 2008; DOI: 10.3402/gha.v1i0.1899.
16. Fottrell E, Byass P. Population survey sampling methods in a rural African setting: measuring mortality. Popul. Health Metrics 2008; 6.
17. Tollman SM. Closing the gap: applying health and sociodemographic surveillance to complex health transitions in South and sub-Saharan Africa. Thesis, Umeå University, 2008.
18. Turner AG. Sampling strategies. Handbook on designing of household sample surveys. Geneva: United Nations Statistics Division; 2003.
19. UNICEF. Multiple indicator cluster survey manual, 2005: monitoring the situation of children and women. New York: UNICEF; 2005.
20. Hayes RJ, Bennett S. Simple sample size calculation for clusterrandomised trials. Int J Epidemiol 1999; 28: 319-26.
21. Kaufman JS, Asuzu MC, Rotimi CN, Johnson OO, Owoaje EE. The absence of adult mortality data for sub-Saharan Africa: a practical solution. Bull World Health Organ 1997; 75: 389-95.
22. Rose AMC, Grais RF, Coulombier D, Ritta H. A comparison of cluster and systematic sampling methods for measuring crude mortality. Bull World Health Organ 2006; 84: 290-6.
23. Bostoen K, Chalabi Z. Optimisation of household survey sampling without sampling frames. Int J Epidemiol 2006; 35: 751-5.
24. WHO: The World Health Survey: sampling guidelines for participating countries [Internet]. Available from: http://www.who.int/healthinfo/survey/en/index.html (cited 1 December 2008).
25. Byass P. Empirical modelling of population sampling: lessons for designing sentinel surveillance. Public Health 2003; 117: 36-42.
26. Byass P, Worku A, Emmelin A, Berhane Y. DSS and DHS: longitudinal and cross-sectional viewpoints on child and adolescent mortality in Ethiopia. Popul Health Metrics 2007; 5.
27. Fottrell E, Enquselassie F, Byass P. The distribution and effects of child mortality risk factors in Ethiopia: a comparison of estimates from DSS and DHS. Ethiopian J Health Development 2008 (Under review).
28. Hammer GP, Kouyaté B, Ramroth H, Becher H. Risk factors for childhood mortality in sub-Saharan Africa: a comparison of data from a Demographic and Health Survey and from a Demographic Surveillance System. Acta Trop 2006; 98: 212-8.
29. Fottrell E, Byass P. Identifying humanitarian crises in population surveillance field sites: simple procedures and ethical imperatives. Public Health 2009; 123: 151-55.
30. Wong MY, Day NE, Bashir SA, Duffy SW. Measurement error in epidemiology: the design of validation studies I: univariate situation. Stat Med 1999; 18: 2815-29.
31. Wong MY, Day NE, Wareham NJ. Measurement error in epidemiology: the design of validation studies II: bivariate situation. Stat Med 1999; 18: 2831-45.
32. Stephens J, Alonso PL, Byass P, Snow RW. Tropical epidemiology: a system for continuous demographic monitoring of a study population. Methods Inf Med 1989; 28: 155-9.
33. INDEPTH. Population and health in developing countries, volume 1: population, health and survival. Ottawa: IDRC; 2002.
34. Mustafa G, Razzaque A, Streatfield PK. Scanning of DSS forms and use of PDA for special module: Matlab experience. Seventh Indepth Annual General and Scientific Meeting, Nairobi, Kenya, 3-7 September 2007.
35. Weibel D, Schelling E, Bonfoh B, de Savigny D, Zinsstag J. The feasibility of biometric fingerprint identification for surveillance and monitoring of demographic and health indices in highly mobile pastoral settings in Chad. Seventh Indepth Annual General and Scientific Meeting, Nairobi, Kenya, 3-7 November 2007.
36. K'Opiyo J, Mushinzimana E, Karama M, Agollaa R, Kaneko S. Development of Personal Digital Assistant (PDA) application on a demographic surveillance system in Suba district, Western Kenya. Seventh Indepth Annual General and Scientific Meeting, Nairobi, Kenya, 3-7 September 2007.
37. Aura B, Zhong J, Hightower A, Brieman R, Feikin D, Audi A. Use of Personal Digital Assistants (PDA) for collecting household-level data in the Western Kenya Health and Demographic Surveillance System (DSS), 2005-2006. Seventh Indepth Network Annual General and Scientific Meeting, Nairobi, Kenya, 3-7 September 2007.
38. Byass P, Hounton S, Ouédraogo M, Somé H, Diallo I, Fottrell E, et al. Direct data capture using hand-held computers in rural Burkina Faso: experiences, benefits and lessons learnt. Trop Med Int Health 2008; 13: 25-30.
39. Fottrell E, Byass P, Berhane Y. Demonstrating the robustness of population surveillance data: implications of error rates on demographic and mortality estimates. BMC Med Res Methodol 2008; 8.
40. Soleman N, Chandramohan D, Shibuya K. Verbal autopsy: current practices and challenges. BullWorld Health Organ 2006; 84: 239-45.
41. Todd JE, De Francisco A, O'Dempsey TJ, Greenwood BM. The limitations of verbal autopsy in a malaria-endemic region. Ann Trop Paediatr 1994; 14: 31-6.
42. Murray CJL, Lopez AD, Feehan DM, Peter ST, Yang G. Validation of the symptom pattern method for analysing verbal autopsy data. PLoS Med 2007; 4: e327.
43. Fottrell E, Byass P, Ouedraogo TW, Tamini C, Gbangou A, Sombie I, et al. Revealing the burden of maternal mortality: a probabilistic model for determining pregnancy-related causes of death from verbal autopsies. Popul Health Metrics 2007; 5.
44. Byass P, Huong DL, Minh HV. A probabilistic approach to interpreting verbal autopsies: methodology and preliminary validation in Vietnam. Scand J Public Health 2003; 31: 32-7.
45. Fantahun M, Fottrell E, Berhane Y,Wall S, Högberg U, Byass P. Assessing a new approach to verbal autopsy interpretation in a rural Ethiopian community: the InterVA model. Bull World Health Organ 2006; 84: 204-10.
46. Byass P, Fottrell E, Huong DL, Berhane Y, Corrah PT, Kahn K, et al. Refining a probabilistic model for interpreting verbal autopsy data. Scand J Public Health 2006; 34: 26-31.
47. Tensou B, Reniers G, Araya T, Kebebew T. Evaluating the performance of the InterVA model for determining AIDS mortality in the adult population of Addis Ababa. Presented at the Union for African Population Studies Fifth African Population Conference, Arusha, Tanzania, 10-14 December 2007.
48. King G, Lu Y. Verbal autopsy methods with multiple causes of death. Stat Sci 2008; 23: 78-91.
49. Kahn K, Tollman SM, Garenne M, Gear JSS. Validation and application of verbal autopsies in a rural area of South Africa. Trop Med Int Health 2000; 5: 824-31.
50. WHO: International Classification of Diseases: 10th Revision [Internet]. Available from: http://www.who.int/classifications/ icd/en/(cited 1 December 2008).
51. Baiden F, Hodgson A, Binka FN. Demographic surveillance sites and emerging challenges in international health. BullWorld Health Organ 2006; 84: 163-4.
52. Gray JA:. Evidence-based healthcare: how to make health policy and management decisions. London: Churchill Livingstone; 1997.