TY - JOUR AU - Lome-Hurtado, Alejandro AU - Lartigue-Mendoza, Jacques AU - Trujillo, Juan C. PY - 2021 DA - 2021/01/06 TI - Modelling local patterns of child mortality risk: a Bayesian Spatio-temporal analysis JO - BMC Public Health SP - 29 VL - 21 IS - 1 AB - Globally, child mortality rate has remained high over the years, but the figure can be reduced through proper implementation of spatially-targeted public health policies. Due to its alarming rate in comparison to North American standards, child mortality is particularly a health concern in Mexico. Despite this fact, there remains a dearth of studies that address its spatio-temporal identification in the country. The aims of this study are i) to model the evolution of child mortality risk at the municipality level in Greater Mexico City, (ii) to identify municipalities with high, medium, and low risk over time, and (iii) using municipality trends, to ascertain potential high-risk municipalities. SN - 1471-2458 UR - https://doi.org/10.1186/s12889-020-10016-9 DO - 10.1186/s12889-020-10016-9 ID - Lome-Hurtado2021 ER -