[1]D. You et al., “United Nations Inter-agency Group for Child Mortality Estimation (UN IGME). Global, regional, and national levels and trends in under–5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency” Lancet, vol. 386, no. 10010, pp. 2275–2286, 2015.
[2]U. Nations, “Sustainable development goals,” (n.d). [Online]. Available: https://www.un.org/sustainabledevelopment/health. Accessed on 30/05/2019.
[3]T. W. Bank, “Mortality rate, under–5 (per 1,000 live births)" (n.d)). [Online]. Available: https://data.worldbank.org/indicator/SH.DYN.MORT?end = 2017&locations = MX&start = 1960&view = chart. Accessed on 30/05/2019.
[4]T. W. Bank, “Probability of dying at age 5–14 years (per 1,000 children age 5)" (n.d). [Online]. Available: https://datos.bancomundial.org/indicador/SH.DYN.0514. Accessed on 30/05/2019.
[5]Mexican Ministry of Health, “Datos abiertos (in spanish)" (n.d). [Online]. Available: http://www.dgis.salud.gob.mx/contenidos/basesdedatos/Datos_Abiertos_gobmx.html. Accessed on 01/06/2019.
[6]E. Gayawan, M. I. Adarabioyo, D. M. Okewole, S. G. Fashoto, and J. C. Ukaegbu, “Geographical variations in infant and child mortality in West Africa: A geo-additive discrete-time survival modelling” Genus, vol. 72, no. 1, 2016.
[7]E. Jimenez-soto, J. Durham, and A. Hodge, “Entrenched Geographical and Socioeconomic Disparities in Child Mortality : Trends in Absolute and Relative Inequalities in Cambodia” PLoS One, vol. 9, no. 10, 2014.
[8]A. E. Bauze et al., “Equity and Geography : The Case of Child Mortality in Papua New Guinea”, PLoS One, vol. 7, no. 5, 2015.
[9]A. Singh, P. K. Pathak, R. K. Chauhan, and W. Pan, “Infant and Child Mortality in India in the Last Two Decades : A Geospatial Analysis”, PLoS One, vol. 6, no. 11, 2011.
[10]A. W. J. Alonso et al., “Spatio-temporal patterns of diarrhoeal mortality in Mexico” Epidemiology and Infection, vol. 140, no. 1, pp. 91–99, 2019.
[11]L. Knorr‐Held and J. Besag, “Modelling risk from a disease in time and space” Stat. Med., vol. 17, no. 18, pp. 2045–2060, 1998.
[12]A. L. Papoila et al., “Stomach cancer incidence in Southern Portugal 1998–2006: A spatio‐temporal analysis” Biometrical J., vol. 56, no. 3, pp. 403–415, 2014.
[13]A. B. Lawson, Bayesian disease mapping: hierarchical modeling in spatial epidemiology. Chapman and Hall/CRC, 2013.
[14]H. H. Shin, D. Stieb, R. Burnett, G. Takahara, and B. Jessiman, “Tracking National and Regional Spatial‐Temporal Mortality Risk Associated with NO2 Concentrations in Canada: A Bayesian Hierarchical Two‐Level Model” Risk Anal. An Int. J., vol. 32, no. 3, pp. 513–530, 2012.
[15]M. D. Ugarte, A. Adin, T. Goicoa, I. Casado, E. Ardanaz, and N. Larrañaga, “Temporal evolution of brain cancer incidence in the municipalities of Navarre and the Basque Country, Spain” BMC Public Health, vol. 15, no. 1, pp. 1–7, 2015.
[16]G. Smith, “Area-based initiatives: the rationale and options for area targeting” LSE STICERD Res. Pap. No. Case025, 1999.
[17]R. Tunstall and R. Lupton, “Is Targeting Deprived Areas an Effective Means to Reach Poor People? An assessment of one rationale for area-based funding programmes” 2003.
[18]L. Bernardinelli, D. Clayton, C. Pascutto, C. Montomoli, M. Ghislandi, and M. Songini, “Bayesian analysis of space—time variation in disease risk” Stat. Med., vol. 14, no. 21‐22, pp. 2433–2443, 1995.
[19]G. Li, R. Haining, S. Richardson, and N. Best, “Space-time variability in burglary risk: A Bayesian spatio-temporal modelling approach” Spat. Stat., vol. 9, no. C, pp. 180–191, 2014.
[20]O. for E. C. and D. (OECD), “Territorial Reviews: Valle de México, Mexico,” 2015. [Online]. Available: http://www.keepeek.com/Digital Asset-Management/oecd/urban-rural-and-regional-development/oecd-territorial-reviews-valle-de-mexico-mexico/urban-trends-and-challenges-of-the-valle-de-mexico_9789264245174–5-en. Accessed on 7/06/2019.
[21]M. N. I. of S. and G. (INEGI), “Población,” (n.d). [Online]. Available: https://www.inegi.org.mx/temas/estructura/. Accessed on 7/06/2019.
[22]U. F. and D. Administration, “General clinical pharmacology considerations for pediatric studies for drugs and biological products. Clinical Pharmacology,” 2014. [Online]. Available: https://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm. Accessed on 7/06/2019.
[23]L. Anselin, A. K. Bera, R. Florax, and M. J. Yoon, “Simple diagnostic tests for spatial dependence” Reg. Sci. Urban Econ., vol. 26, no. 1, pp. 77–104, 1996.
[24]P. McCullagh, Generalized linear models. Routledge, 2019.
[25]J. Law, M. Quick, and P. Chan, “Bayesian spatio-temporal modeling for analysing local patterns of crime over time at the small-area level” J. Quant. Criminol., vol. 30, no. 1, pp. 57–78, 2014.
[26]J. Besag, J. York, and A. Mollié, “A Bayesian image restoration with two applications in spatial statistics Ann Inst Statist Math 43: 1–59” Find this Artic. online, vol. 43, no. 1, pp. 1–20, 1991.
[27]S. Richardson, A. Thomson, N. Best, and P. Elliott, “Interpreting posterior relative risk estimates in disease-mapping studies” Environ. Health Perspect., vol. 112, no. 9, pp. 1016–1025, 2004.
[28]A. Gelman and D. B. Rubin, “Inference from iterative simulation using multiple sequences” Stat. Sci., vol. 7, no. 4, pp. 457–472, 1992.
[29]C. T. Sreeramareddy, H. N. Harsha Kumar, and B. Sathian, “Time trends and inequalities of under-five mortality in Nepal: A secondary data analysis of four demographic and health surveys between 1996 and 2011” PLoS One, vol. 8, no. 11, pp. 1–12, 2013.
[30]J. M. K. Aheto, “Predictive model and determinants of under-five child mortality: Evidence from the 2014 Ghana demographic and health survey” BMC Public Health, vol. 19, no. 1, pp. 1–10, 2019.
[31]M. of H. in Mexico, “Program de Accion Especifico. Salud Maternal y Perinatal” 2014. [Online]. Available: https://www.gob.mx/cms/uploads/attachment/file/242370. Accessed on 7/06/2019.
[32]S. Havard, S. Deguen, D. Zmirou-Navier, C. Schillinger, and D. Bard, “Traffic-related air pollution and socioeconomic status: a spatial autocorrelation study to assess environmental equity on a small-area scale” Epidemiology, pp. 223–230, 2009.
[33]D. Fecht et al., “Associations between air pollution and socioeconomic characteristics, ethnicity and age profile of neighbourhoods in England and the Netherlands” Environ. Pollut., vol. 198, pp. 201–210, 2015.
[34] Lome-Hurtado A, Touza-Montero J, White PC. Environmental Injustice in Mexico City: A Spatial Quantile Approach. Exposure and Health, 1–5, 2019.
[35]L. M. McLaughlin, S. D. Johnson, K. J. Bowers, D. J. Birks, and K. Pease, “Police perceptions of the long-and short-term spatial distribution of residential burglary” Int. J. Police Sci. Manag., vol. 9, no. 2, pp. 99–111, 2007.
[36]N. Aragonés et al., “Spatio-temporal trends in gastric cancer mortality in Spain: 1975–2008” Cancer Epidemiol., vol. 37, no. 4, pp. 360–369, 2013.