Geographical Inequalities and Social and Environmental Risk Factors for Under-Five Mortality in Ghana in 2000 and 2010: Bayesian Spatial Analysis of Census Data
In a census-based study, Majid Ezzati and colleagues use demographic modeling to estimate district-level variation in under-five mortality across Ghana.
Vyšlo v časopise:
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(6): e32767. doi:10.1371/journal.pmed.1002038
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pmed.1002038
Souhrn
In a census-based study, Majid Ezzati and colleagues use demographic modeling to estimate district-level variation in under-five mortality across Ghana.
Zdroje
1. United Nations Inter-agency Group for Child Mortality Estimation. Levels & trends in child mortality: report 2013. New York: UNICEF; 2013.
2. United Nations Inter-agency Group for Child Mortality Estimation. Levels & trends in child mortality: report 2015. New York: UNICEF; 2015.
3. Requejo J, Bryce J, Victora C, Deixel A, Barros A, Bhutta Z, et al. Fulfilling the health agenda for women and children: the 2014 report. New York: UNICEF; 2014.
4. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2224–2260. doi: 10.1016/S0140-6736(12)61766-8 23245609
5. 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. 2010;376:959–974. doi: 10.1016/S0140-6736(10)61257-3 20851260
6. Gakidou E, Oza S, Vidal Fuertes C, Li AY, Lee DK, Sousa A, et al. Improving child survival through environmental and nutritional interventions: the importance of targeting interventions toward the poor. JAMA. 2007;298:1876–1887. 17954539
7. Stevens GA, Dias RH, Ezzati M. The effects of 3 environmental risks on mortality disparities across Mexican communities. Proc Natl Acad Sci U S A. 2008;105:16860–16865. doi: 10.1073/pnas.0808927105 18974224
8. Amouzou A, Kozuki N, Gwatkin DR. Where is the gap?: the contribution of disparities within developing countries to global inequalities in under-five mortality. BMC Public Health. 2014;14:216. doi: 10.1186/1471-2458-14-216 24581032
9. Dwyer-Lindgren L, Kakungu F, Hangoma P, Ng M, Wang H, Flaxman AD, et al. Estimation of district-level under-5 mortality in Zambia using birth history data, 1980–2010. Spat Spatiotemporal Epidemiol. 2014;11:89–107. doi: 10.1016/j.sste.2014.09.002 25457599
10. Hosseinpoor AR, Mohammad K, Majdzadeh R, Naghavi M, Abolhassani F, Sousa A, et al. Socioeconomic inequality in infant mortality in Iran and across its provinces. Bull World Health Organ. 2005;83:837–844. 16302040
11. Houweling TA, Kunst AE. Socio-economic inequalities in childhood mortality in low- and middle-income countries: a review of the international evidence. Br Med Bull. 2010;93:7–26. doi: 10.1093/bmb/ldp048 20007188
12. Kraft AD, Nguyen KH, Jimenez-Soto E, Hodge A. Stagnant neonatal mortality and persistent health inequality in middle-income countries: a case study of the Philippines. PLoS ONE. 2013;8:e53696. doi: 10.1371/journal.pone.0053696 23308278
13. Vapattanawong P, Hogan MC, Hanvoravongchai P, Gakidou E, Vos T, Lopez AD, et al. Reductions in child mortality levels and inequalities in Thailand: analysis of two censuses. Lancet. 2007;369:850–855. 17350454
14. Ram U, Jha P, Ram F, Kumar K, Awasthi S, Shet A, et al. Neonatal, 1–59 month, and under-5 mortality in 597 Indian districts, 2001 to 2012: estimates from national demographic and mortality surveys. Lancet Glob Health. 2013:e219–e226.
15. Adjuik M, Kanyomse E, Kondayire F, Wak G, Hodgson A. Clustering of under-five mortality in the Navrongo HDSS in the Kassena-Nankana District of northern Ghana. Glob Health Action. 2010;3. doi: 10.3402/gha.v3i0.5233
16. Nettey OEA, Zandoh C, Sulemana A, Adda R, Owusu-Agyei S. Clustering of childhood mortality in the Kintampo Health and Demographic Surveillance System in Ghana. Glob Health Action. 2010;3. doi: 10.3402/gha.v3i0.5258
17. Awini E, Mattah P, Sankoh O, Gyapong M. Spatial variations in childhood mortalities at the Dodowa Health and Demographic Surveillance System site of the INDEPTH Network in Ghana. Trop Med Int Health. 2010;15:520–528. doi: 10.1111/j.1365-3156.2010.02492.x 20345554
18. Sankoh OA, Yé Y, Sauerborn R, Müller O, Becher H. Clustering of childhood mortality in rural Burkina Faso. Int J Epidemiol. 2001;30:485–492. 11416070
19. Bauze AE, Tran LN, Nguyen KH, Firth S, Jimenez-Soto E, Dwyer-Lindgren L, et al. Equity and geography: the case of child mortality in Papua New Guinea. PLoS ONE. 2012;7:e37861. doi: 10.1371/journal.pone.0037861 22662238
20. Sousa A, Hill K, Dal Poz MR. Sub-national assessment of inequality trends in neonatal and child mortality in Brazil. Int J Equity Health. 2010;9:21. doi: 10.1186/1475-9276-9-21 20815875
21. World Bank. World development indicators. Washington (District of Columbia): World Bank; 2013.
22. Bailis R, Ezzati M, Kammen DM. Mortality and greenhouse gas impacts of biomass and petroleum energy futures in Africa. Science. 2005;308:98–103. 15802601
23. Hill K, You D, Inoue M, Oestergaard MZ, Technical Advisory Group of United Nations Inter-agency Group for Child Mortality Estimation. Child mortality estimation: accelerated progress in reducing global child mortality, 1990–2010. PLoS Med. 2012;9:e1001303. doi: 10.1371/journal.pmed.1001303 22952441
24. United Nations Department of International Economic and Social Affairs. Manual X: indirect techniques for demographic estimation. New York: United Nations; 1983.
25. Besag J, York J, Mollié A. Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math. 1991;1:1–20.
26. Brooks SP, Gelman A. General methods for monitoring convergence of iterative simulations. J Comput Graph Stat. 1998;7:434–455.
27. Spiegelhalter D, Thomas A, Best N, Lunn D. WinBUGS user manual, version 1.4. Cambridge: MRC Biostatistics Unit; 2003.
28. Dionisio KL, Howie SR, Dominici F, Fornace KM, Spengler JD, Adegbola RA, et al. Household concentrations and exposure of children to particulate matter from biomass fuels in The Gambia. Environ Sci Technol. 2012;46:3519–3527. doi: 10.1021/es203047e 22304223
29. Ezzati M, Mbinda BM, Kammen DM. Comparison of emissions and residential exposure from traditional and improved cookstoves in Kenya. Environ Sci Technol. 2000;34:578–583.
30. Pradhan J, Arokiasamy P. Socio-economic inequalities in child survival in India: a decomposition analysis. Health Policy. 2010;98:114–120. doi: 10.1016/j.healthpol.2010.05.010 20576309
31. Fink G, Gunther I, Hill K. Slum residence and child health in developing countries. Demography. 2014;51:1175–1197. doi: 10.1007/s13524-014-0302-0 24895049
32. Wang H, Liddell CA, Coates MM, Mooney MD, Levitz CE, Schumacher AE, 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. 2014;384:957–979. doi: 10.1016/S0140-6736(14)60497-9 24797572
33. Amouzou A, Habi O, Bensaid K, Niger Countdown Case Study Working Group. Reduction in child mortality in Niger: a Countdown to 2015 country case study. Lancet. 2012;380:1169–1178. doi: 10.1016/S0140-6736(12)61376-2 22999428
34. Adams AM, Rabbani A, Ahmed S, Mahmood SS, Al-Sabir A, Rashid SF, et al. Explaining equity gains in child survival in Bangladesh: scale, speed, and selectivity in health and development. Lancet. 2013;382:2027–2037. doi: 10.1016/S0140-6736(13)62060-7 24268604
35. Monteiro CA, Benicio MH, Conde WL, Konno S, Lovadino AL, Barros AJ, et al. Narrowing socioeconomic inequality in child stunting: the Brazilian experience, 1974–2007. Bull World Health Organ. 2010;88:305–311. doi: 10.2471/BLT.09.069195 20431795
36. Victora CG, Barros AJ, Axelson H, Bhutta ZA, Chopra M, Franca GV, et al. How changes in coverage affect equity in maternal and child health interventions in 35 Countdown to 2015 countries: an analysis of national surveys. Lancet. 2012;380:1149–1156. doi: 10.1016/S0140-6736(12)61427-5 22999433
Štítky
Interné lekárstvoČlánok vyšiel v časopise
PLOS Medicine
2016 Číslo 6
- Statinová intolerance
- Očkování proti virové hemoragické horečce Ebola experimentální vakcínou rVSVDG-ZEBOV-GP
- Co dělat při intoleranci statinů?
- Pleiotropní účinky statinů na kardiovaskulární systém
- DESATORO PRE PRAX: Aktuálne odporúčanie ESPEN pre nutričný manažment u pacientov s COVID-19
Najčítanejšie v tomto čísle
- Why Most Clinical Research Is Not Useful
- Agreements between Industry and Academia on Publication Rights: A Retrospective Study of Protocols and Publications of Randomized Clinical Trials
- Inter-pregnancy Weight Change and Risks of Severe Birth-Asphyxia-Related Outcomes in Singleton Infants Born at Term: A Nationwide Swedish Cohort Study
- Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement