Spatiotemporal analysis of the effect of global development indicators on child mortality

United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), ‘Levels & Trends in Child Mortality: Report 2019, Estimates developed by the United Nations Inter-agency Group for Child Mortality Estimation’, United Nations Children’s Fund, New York, 2019.

United Nations Department of Economic and Social Affairs. The Sustainable Development Goals Report 2019. United Nations Department of Economic and Social Affairs, New York, 2019.

Sharrow D, Hug L, You D, Alkema L, Black R, Cousens S, et al. Global, regional, and national trends in under-5 mortality between 1990 and 2019 with scenario-based projections until 2030: a systematic analysis by the UN inter-agency group for child mortality estimation. Lancet Glob Heal. 2022;10:e195-206.

Article  CAS  Google Scholar 

Chao F, You D, Pedersen J, Hug L, Alkema L. National and regional under-5 mortality rate by economic status for low-income and middle-income countries: a systematic assessment. Lancet Glob Heal. 2018;6:e535-47.

Article  Google Scholar 

O’Hare B, Makuta I, Chiwaula L, Bar-Zeev N. Income and child mortality in developing countries: a systematic review and meta-analysis. J R Soc Med. 2013;106:408–14.

Article  PubMed  PubMed Central  Google Scholar 

Cardona M, Millward J, Gemmill A, Yoo KJ, Bishai DM. Estimated impact of the 2020 economic downturn on under-5 mortality for 129 countries. PLoS ONE. 2022;17:1–12.

Article  Google Scholar 

Goyal N, Karra M, Canning D. Early-life exposure to ambient fine particulate air pollution and infant mortality: pooled evidence from 43 low- and middle-income countries. Int J Epidemiol. 2019;48:1125–41.

Article  PubMed  Google Scholar 

Heft-Neal S, Burney J, Bendavid E, Burke M. Robust relationship between air quality and infant mortality in Africa. Nature. 2018;559:254–8.

Article  CAS  PubMed  Google Scholar 

Balaj M, York HW, Sripada K, Besnier E, Vonen HD, Aravkin A, et al. Parental education and inequalities in child mortality: a global systematic review and meta-analysis. Lancet. 2021;398:608–20.

Article  PubMed  PubMed Central  Google Scholar 

Hajat A, Hsia C, O’Neill MS. Socioeconomic disparities and air pollution exposure: a global review. Curr Environ Heal Reports. 2015;2:440–50.

Article  CAS  Google Scholar 

Huang G, Zhou W, Qian Y, Fisher B. Breathing the same air? Socioeconomic disparities in PM2.5 exposure and the potential benefits from air filtration. Sci Total Environ. 2019;657:619–26.

Article  CAS  PubMed  Google Scholar 

Verhulst A, Prieto JR, Alam N, Eilerts-Spinelli H, Erchick DJ, Gerland P, et al. Divergent age patterns of under-5 mortality in south Asia and sub-Saharan Africa: a modelling study. Lancet Glob Heal. 2022;10:e1566-74.

Article  CAS  Google Scholar 

Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, De Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382:427–51.

Article  PubMed  Google Scholar 

Prüss-Ustün A, Wolf J, Bartram J, Clasen T, Cumming O, Freeman MC, et al. Burden of disease from inadequate water, sanitation and hygiene for selected adverse health outcomes: an updated analysis with a focus on low- and middle-income countries. Int J Hyg Environ Health. 2019;222:765–77.

Article  PubMed  PubMed Central  Google Scholar 

Prüss-Ustün Annette, Bartram J, Clasen T, Colford JM Jr, Cumming O, Curtis V, et al. Burden of disease from inadequate water, sanitation and hygiene in low- and middle-income settings: a retrospective analysis of data from 145 countries. Trop Med Int Heal. 2014;19:894–905.

Article  Google Scholar 

WHO. Ambient air pollution: a global assessment burden of disease. Geneva, Switzerland: WHO; 2016.

Google Scholar 

Andriano L, Monden CWS. The causal effect of maternal education on child mortality: evidence from a quasi-experiment in Malawi and Uganda. Demography. 2019;56:1765–90.

Article  PubMed  Google Scholar 

Mandal S, Chouhan P. Maternal education and child mortality differentials: an upshot from the national family health survey 2015–2016, India. Omega (United States). 2021;84:348–59.

Google Scholar 

Ray D, Linden M. Health expenditure, longevity, and child mortality: dynamic panel data approach with global data. Int J Heal Econ Manag. 2020;20:99–119.

Google Scholar 

Zeng W, Lannes L, Mutasa R. Utilization of health care and burden of out-of-pocket health expenditure in Zimbabwe: results from a national household survey. Health Syst Reform. 2018;4:300–12. https://doi.org/10.1080/2328860420181513264.

Article  PubMed  Google Scholar 

Shapira G, De Walque D, Friedman J. How many infants may have died in low-income and middle-income countries in 2020 due to the economic contraction accompanying the COVID-19 pandemic? Mortality projections based on forecasted declines in economic growth. BMJ Open. 2021;11:1–6.

Article  Google Scholar 

Zakaria M, Tariq S, Husnain MI, ul. Socio-economic, macroeconomic, demographic, and environmental variables as determinants of child mortality in South Asia. Environ Sci Pollut Res. 2020;27:954–64.

Article  Google Scholar 

Oviedo Tejada CA, Triaca LM, Liermann NH, Ewerling F, Costa JC. Economic crises, child mortality and the protective role of public health expenditure. Cien Saude Colet. 2019;24:4395–404.

Google Scholar 

Pretorius CE, Asare H, Kruger HS, Genuneit J, Siziba LP, Ricci C. Exclusive breastfeeding, child mortality, and economic cost in Sub-Saharan Africa. Pediatrics. 2021;147(3): e2020030643. https://doi.org/10.1542/peds.2020-030643

Article  PubMed  Google Scholar 

Salahuddin M, Vink N, Ralph N, Gow J. Effects of economic growth, foreign direct investment and internet use on child health outcomes: empirical evidence from South Africa. Routledge. 2020;7:1–17.

Google Scholar 

Zilidis C, Hadjichristodoulou C. Economic crisis impact and social determinants of perinatal outcomes and infant mortality in Greece. Int J Environ Res Public Heal. 2020;17:6606.

Article  Google Scholar 

Headey D, Palloni G. Water, sanitation, and child health: evidence from subnational panel data in 59 countries. Demography. 2019;56:729–52.

Article  PubMed  Google Scholar 

Hunter PR, Prüss-Ustün A. Have we substantially underestimated the impact of improved sanitation coverage on child health? A generalized additive model panel analysis of global data on child mortality and malnutrition. PLoS One. 2016;11:e0164571–e0164571.

Article  PubMed  PubMed Central  Google Scholar 

Zahid J. Impact of clean drinking water and sanitation on water borne diseases in Pakistan. Islamabad: Sustainable development policy institute; 2018.

Google Scholar 

Alkema L, New JR. Global estimation of child mortality using a Bayesian B-spline bias-reduction model. Ann Appl Stat. 2014;8:2122–49.

Article  Google Scholar 

Pollack CE, Chideya S, Cubbin C, Williams B, Dekker M, Braveman P. Should health studies measure wealth?. A systematic review. Am J Prev Med. 2007;33:250–64.

Article  PubMed  Google Scholar 

Cole WM. Wealth and health revisited: economic growth and wellbeing in developing countries, 1970 to 2015. Soc Sci Res. 2019;77:45–67. https://doi.org/10.1016/j.ssresearch.2018.09.003.

Article  PubMed  Google Scholar 

Cameron L, Williams J. Is the relationship between socioeconomic status and health stronger for older children in developing countries? Demography. 2009;46:303–24.

Article  PubMed  PubMed Central  Google Scholar 

Bloom DE, Canning D. The health and wealth of nations. Science. 2000;287:1207–9. https://doi.org/10.1126/science.287.5456.1207.

Article  CAS  PubMed  Google Scholar 

Aber JL, Bennett NG, Conley DC, Li J. The effects of poverty on child health and development. Annu Rev Public Health. 1997;18:463–83.

Article  CAS  PubMed  Google Scholar 

Blangiardo M, Cameletti M, Baio G, Rue H. Spatial and spatio-temporal models with R-INLA. Spat Spatiotemporal Epidemiol. 2013;7:39–55.

Article  PubMed  Google Scholar 

Bernardinelli L, Clayton D, Pascutto C, Montomoli C, Ghislandi M, Songini M. Bayesian analysis of space-time variation in disease risk. Stat Med. 1995;14:2433–43.

Article  CAS  PubMed  Google Scholar 

Blangiardo M, Cameletti M. Spatial and spatio-temporal Bayesian Models with R-INLA. Hoboken: John Wiley & Sons; 2015.

Book  Google Scholar 

Knorr-Held L. Bayesian modelling of inseparable space-time variation in disease risk. Stat Med. 2000;19:2555–67.

Article  CAS  PubMed  Google Scholar 

Song C, Wang Y, Yang X, Yang Y, Tang Z, Wang X, et al. Spatial and temporal impacts of socioeconomic and environmental factors on healthcare resources: a county-level bayesian local spatiotemporal regression modeling study of hospital beds in Southwest China. Int J Environ Res Public Health. 2020;17:1–23.

Article  Google Scholar 

van Niekerk J, Bakka H, Rue H, Schenk O. New frontiers in Bayesian modeling using the INLA Package in R. J Stat Softw. 2021. https://doi.org/10.18637/jss.v100.i02.

Article  Google Scholar 

R Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2020.

Google Scholar 

Bakka H, Fuglstad G, Riebler A, Bolin D, Krainski E, Simpson D, et al. Spatial modelling with R-INLA: a review. WIREs Comp Stat. 2018. https://doi.org/10.1002/wics.1443.

Article  Google Scholar 

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. 2009;71:319–92.

Article  Google Scholar 

Martino S, Akerkar R, Rue H. Approximate Bayesian Inference for Survival Models. Scand J Stat. 2011;38:514–28.

Google Scholar 

Tennekes M. tmap: thematic maps in R. J Stat Softw. 2018;84:1–39.

Article  Google Scholar 

Spiegelhalter DJ, Best NG, Carlin BP, Van Der Linde A. Bayesian measures of model complexity and fit. J R Stat Soc Ser B Stat Methodol. 2002;64:583–616.

Article 

留言 (0)

沒有登入
gif