Mapping under-5 and neonatal mortality in Africa, 2000–15: a baseline analysis for the Sustainable Development Goals

The Lancet

Volumn 390, Issue 10108, 2017, Pages 2171-2182

  Golding, Nick ^a   Burstein, Roy ^c   Longbottom, Joshua ^b   Browne, Annie J ^b   Fullman, Nancy ^c   Osgood Zimmerman, Aaron ^c   Earl, Lucas ^c   Bhatt, Samir ^b,d   Cameron, Ewan ^b   Casey, Daniel C ^c   Dwyer Lindgren, Laura ^c   Farag, Tamer H ^c   Flaxman, Abraham D ^c   Fraser, Maya S ^c   Gething, Peter W ^b   Gibson, Harry S ^b   Graetz, Nicholas ^c   Krause, L Kendall ^e   Kulikoff, Xie Rachel ^c   Lim, Stephen S ^c   Mappin, Bonnie ^b   Morozoff, Chloe ^c   Reiner, Robert C ^c   Sligar, Amber ^c   Smith, David L ^c   Wang, Haidong ^c   Weiss, Daniel J ^b   Murray, Christopher J L ^c   Moyes, Catherine L ^b   Hay, Simon I ^b,c   more..

^a UNIVERSITY OF MELBOURNE   (Australia)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY OF WASHINGTON   (United States)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e BILL AND MELINDA GATES FOUNDATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AFRICA; ALL CAUSE MORTALITY; ARTICLE; BOTSWANA; CHILD DEATH; CHILDHOOD MORTALITY; ETHIOPIA; FINANCIAL MANAGEMENT; HEALTH PROGRAM; HOUSEHOLD; HUMAN; MORTALITY RATE; NEWBORN MORTALITY; PREDICTIVE VALIDITY; PRIORITY JOURNAL; PUBLIC HEALTH; RWANDA; SUSTAINABLE DEVELOPMENT; AGE; BAYES THEOREM; CAUSE OF DEATH; COMPARATIVE STUDY; DEVELOPING COUNTRY; ENVIRONMENTAL PROTECTION; FEMALE; HEALTH SURVEY; INFANT; INFANT MORTALITY; MALE; MOTIVATION; NEWBORN; PREDICTIVE VALUE; PRESCHOOL CHILD; RISK ASSESSMENT; SEX FACTOR; TRENDS;

AFRICA, WESTERN; AGE FACTORS; BAYES THEOREM; CAUSE OF DEATH; CHILD MORTALITY; CHILD, PRESCHOOL; CONSERVATION OF NATURAL RESOURCES; DEVELOPING COUNTRIES; FEMALE; GOALS; HUMANS; INFANT; INFANT MORTALITY; INFANT, NEWBORN; MALE; POPULATION SURVEILLANCE; PREDICTIVE VALUE OF TESTS; RISK ASSESSMENT; SEX FACTORS;

EID: 85029910207     PISSN: 01406736     EISSN: 1474547X     Source Type: Journal    
DOI: 10.1016/S0140-6736(17)31758-0     Document Type: Article

References (72)

1. UN. World Declaration on the Survival, Protection and Development of Children, 1990, United Nations, New York.
2. UN. Millennium Declaration, 2000, United Nations, New York.
3. UN. Transforming our World: the 2030 Agenda for Sustainable Development, 2015, UN, New York.
4. GBD 2015 Child Mortality Collaborators. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 388 (2016), 1725–1774.
5. GBD 2016 Mortality Collaborators. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 390 (2017), 1084–1150.
6. Liu, L, Oza, S, Hogan, D, et al. Global, regional, and national causes of under-5 mortality in 2000–15: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet 388 (2016), 3027–3035.
7. GBD 2015 SDG Collaborators. Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015. Lancet 388 (2016), 1813–1850.
8. Bhutta, ZA, Mapping the geography of child mortality: a key step in addressing disparities. Lancet Glob Health 4 (2016), e877–e878.
9. Dowell, SF, Blazes, D, Desmond-Hellmann, S, Four steps to precision public health. Nat News, 540, 2016, 189.
10. Desmond-Hellmann, S, Progress lies in precision. Science, 353, 2016, 731 731.
11. Bill & Melinda Gates Foundation. Annual Letter from Bill Gates. http://www.gatesfoundation.org/Who-We-Are/Resources-and-Media/Annual-Letters-List/Annual-Letter-2013, 2013 (accessed June 26, 2017).
12. Mercer, LD, Wakefield, J, Pantazis, A, Lutambi, AM, Masanja, H, Clark, S, Space-time smoothing of complex survey data: small area estimation for child mortality. Ann Appl Stat 9 (2015), 1889–1905.
13. Wollum, A, Burstein, R, Fullman, N, Dwyer-Lindgren, L, Gakidou, E, Benchmarking health system performance across states in Nigeria: a systematic analysis of levels and trends in key maternal and child health interventions and outcomes, 2000–2013. BMC Med, 13, 2015, 208.
14. Gavi Full Country Evaluations Team. Gavi Full Country Evaluations: 2015 annual dissemination report, 2015, Institute for Health Metrics and Evaluation, Seattle.
15. Dwyer-Lindgren, L, Kakungu, F, Hangoma, P, et al. Estimation of district-level under-5 mortality in Zambia using birth history data, 1980–2010. Spat Spatiotemporal Epidemiol 11 (2014), 89–107.
16. Arku, RE, Bennett, JE, Castro, MC, et al. Geographical inequalities and social and environmental risk factors for under-five mortality in ghana in 2000 and 2010: Bayesian spatial analysis of census data. PLOS Med, 13, 2016, e1002038.
17. Phillips, DE, Lozano, R, Naghavi, M, et al. A composite metric for assessing data on mortality and causes of death: the vital statistics performance index. Popul Health Metr, 12, 2014, 14.
18. Mikkelsen, L, Phillips, DE, AbouZahr, C, et al. A global assessment of civil registration and vital statistics systems: monitoring data quality and progress. Lancet 386 (2015), 1395–1406.
19. Murray, CJL, Rajaratnam, JK, Marcus, J, Laakso, T, Lopez, AD, What can we conclude from death registration? improved methods for evaluating completeness. PLOS Med, 7, 2010, e1000262.
20. Fabic, MS, Choi, Y, Bird, S, A systematic review of Demographic and Health Surveys: data availability and utilization for research. Bull World Health Organ 90 (2012), 604–612.
21. Diggle, P, Ribeiro, PJ, Model-based geostatistics, 2009, Springer, New York.
22. Patil, AP, Gething, PW, Piel, FB, Hay, SI, Bayesian geostatistics in health cartography: the perspective of malaria. Trends Parasitol 27 (2011), 246–253.
23. Gemperli, A, Vounatsou, P, Kleinschmidt, I, Bagayoko, M, Lengeler, C, Smith, T, Spatial patterns of infant mortality in Mali: the effect of malaria endemicity. Am J Epidemiol 159 (2004), 64–72.
24. Gething, PW, Casey, DC, Weiss, DJ, et al. Mapping Plasmodium falciparum mortality in Africa between 1990 and 2015. N Engl J Med 375 (2016), 2435–2445.
25. Bhatt, S, Weiss, DJ, Cameron, E, et al. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature 526 (2015), 207–211.
26. Rue, H, Martino, S, Chopin, N, Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. J R Stat Soc Ser B Stat Methodol 71 (2009), 319–392.
27. Lindgren, F, Rue, H, Lindström, J, An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach. J R Stat Soc Ser B Stat Methodol 73 (2011), 423–498.
28. Pezzulo, C, Bird, T, Utazi, EC, et al. Geospatial modeling of child mortality across 27 countries in Sub-Saharan Africa, 2016, ICF International, Rockville.
29. Burke, M, Heft-Neal, S, Bendavid, E, Sources of variation in under-5 mortality across sub-Saharan Africa: a spatial analysis. Lancet Glob Health 4 (2016), e936–e945.
30. Liu, L, Oza, S, Hogan, D, et al. Global, regional, and national causes of under-5 mortality in 2000–15: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet 388 (2016), 3027–3035.
31. Bhatt, S, Cameron, E, Flaxman, SR, Weiss, DJ, Smith, DL, Gething, PW, Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation. http://arxiv.org/abs/1612.03278 (accessed Jan 5, 2017).
32. Ahmad, OB, Lopez, AD, Inoue, M, The decline in child mortality: a reappraisal. Bull World Health Organ 78 (2000), 1175–1191.
33. Rajaratnam, JK, Tran, LN, Lopez, AD, Murray, CJL, Measuring under-five mortality: validation of new low-cost methods. PLoS Med, 7, 2010, e1000253.
34. Gakidou, E, Cowling, K, Lozano, R, Murray, CJ, Increased educational attainment and its effect on child mortality in 175 countries between 1970 and 2009: a systematic analysis. Lancet 376 (2010), 959–974.
35. Wang, H, Liddell, CA, Coates, MM, et al. Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 384 (2014), 957–979.
36. Forouzanfar, MH, Afshin, A, Alexander, LT, Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 388 (2016), 1659–1724.
37. Tatem, AJ, Garcia, AJ, Snow, RW, et al. Millennium development health metrics: where do Africa's children and women of childbearing age live?. Popul Health Metr, 11, 2013, 11.
38. Canning, D, Günther, I, Linnemayr, S, Bloom, D, Fertility choice, mortality expectations, and interdependent preferences—an empirical analysis. Eur Econ Rev 63 (2013), 273–289.
39. Linard, C, Gilbert, M, Snow, RW, Noor, AM, Tatem, AJ, Population distribution, settlement patterns and accessibility across Africa in 2010. PLoS One, 7, 2012, e31743.
40. Weiss, DJ, Atkinson, PM, Bhatt, S, Mappin, B, Hay, SI, Gething, PW, An effective approach for gap-filling continental scale remotely sensed time-series. ISPRS J Photogramm Remote Sens 98 (2014), 106–118.
41. FAO. Global map of irrigation areas, version 5.0. http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm, 2013 (accessed June 26, 2017).
42. Dijkstra, L, Poelmann, H, A harmonised definition of cities and rural areas: the new degree of urbanization. http://ec.europa.eu/regional_policy/sources/docgener/work/2014_01_new_urban.pdf, 2014 (accessed June 26, 2017).
43. Chen, X, Explaining subnational infant mortality and poverty rates: what can we learn from night-time lights?. Spat Demogr 3 (2015), 27–53.
44. Ebener, S, Murray, C, Tandon, A, Elvidge, CC, From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery. Int J Health Geogr, 4, 2005, 5.
45. Nelson, A, Travel time to major cities: a global map of accessibility. http://forobs.jrc.ec.europa.eu/products/gam/, 2008 (accessed June 26, 2017).
46. Foreman, KJ, Lozano, R, Lopez, AD, Murray, CJ, Modeling causes of death: an integrated approach using CODEm. Popul Health Metr, 10, 2012, 1.
47. Gneiting, T, Raftery, AE, Weather forecasting with ensemble methods. Science 310 (2005), 248–249.
48. Bell, RM, Koren, Y, Lessons from the Netflix Prize Challenge. SIGKDD Explor Newsl 9 (2007), 75–79.
49. Gething, PW, Patil, AP, Hay, SI, Quantifying aggregated uncertainty in Plasmodium falciparum malaria prevalence and populations at risk via efficient space-time geostatistical joint simulation. PLOS Comput Biol, 6, 2010, e1000724.
50. Channan, S, Collins, K, Emanuel, WR, Global mosaics of the standard MODIS land cover type data, 2014, University of Maryland and the Pacific Northwest National Laboratory, College Park.
51. Dieleman, JL, Schneider, MT, Haakenstad, A, et al. Development assistance for health: past trends, associations, and the future of international financial flows for health. Lancet 387 (2016), 2536–2544.
52. Ng, M, Colson, KE, Fullman, N, et al. Assessing the contribution of malaria vector control and other maternal and child health interventions in reducing all-cause under-five mortality in Zambia. Am J Trop Med Hyg, 2016 published online Feb 15. DOI:10.4269/ajtmh.15-0315.
53. Bhutta, ZA, Chopra, M, Axelson, H, et al. Countdown to 2015 decade report (2000–10): taking stock of maternal, newborn, and child survival. Lancet 375 (2010), 2032–2044.
54. UNICEF, World Health Organization (WHO). Countdown to 2015: a decade of tracking progress for maternal, newborn, and child survival, 2015, UNICEF and WHO, Geneva.
55. Lim, SS, Allen, K, Bhutta, ZA, et al. Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015. Lancet 388 (2016), 1813–1850.
56. Jones, G, Steketee, RW, Black, RE, Bhutta, ZA, Morris, SS, How many child deaths can we prevent this year?. Lancet 362 (2003), 65–71.
57. EPHI. Countdown to 2015: Ethiopia's progress towards reduction in under-five child mortality, 2014, Ethiopian Public Health Institute, Addis Abba.
58. Kanyuka, M, Ndawala, J, Mleme, T, et al. Malawi and Millennium Development Goal 4: a Countdown to 2015 country case study. Lancet Glob Health 4 (2016), e201–e214.
59. Afnan-Holmes, H, Magoma, M, John, T, et al. Tanzania's Countdown to 2015: an analysis of two decades of progress and gaps for reproductive, maternal, newborn, and child health, to inform priorities for post-2015. Lancet Glob Health 3 (2015), e396–e409.
60. Moucheraud, C, Owen, H, Singh, NS, et al. Countdown to 2015 country case studies: what have we learned about processes and progress towards MDGs 4 and 5?. BMC Public Health, 16, 2016, 794.
61. Glass, RI, Guttmacher, AE, Black, RE, Ending preventable child death in a generation. JAMA 308 (2012), 141–212.
62. Murray, CJL, Shifting to Sustainable Development Goals—implications for global health. N Engl J Med 373 (2015), 1390–1393.
63. UNICEF. Committing to child survival: a promise renewed. Progress report 2015, 2015, United Nations International Children's Emergency Fund, New York.
64. Thera, MA, Plowe, CV, Vaccines for malaria: how close are we?. Annu Rev Med 63 (2012), 345–357.
65. Lopez, AD, Setel, PW, Better health intelligence: a new era for civil registration and vital statistics?. BMC Med, 13, 2015, 73.
66. Lo, S, Horton, R, Everyone counts—so count everyone. Lancet 386 (2015), 1313–1314.
67. AbouZahr, C, de Savigny, D, Mikkelsen, L, et al. Civil registration and vital statistics: progress in the data revolution for counting and accountability. Lancet 386 (2015), 1373–1385.
68. Mikkelsen, L, Phillips, DE, AbouZahr, C, et al. A global assessment of civil registration and vital statistics systems: monitoring data quality and progress. Lancet 386 (2015), 1395–1406.
69. WHO. WHO methods and data sources for country-level causes of death 2000–2015, 2016, World Health Organization, Geneva.
70. WHO, MCEE. MCEE-WHO methods and data sources for child causes of death 2000–2015, 2016, World Health Organization, Geneva.
71. Tatem, AJ, WorldPop, open data for spatial demography. Sci Data, 4, 2017, 170004.
72. Diggle, PJ, Moraga, P, Rowlingson, B, Taylor, BM, Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm. Stat Sci 28 (2013), 542–563.