Spatial modeling of geographic inequalities in infant and child mortality across Nepal

被引：31

作者：

Chin, Brian ^{[1
]}

Montana, Livia ^{[2
]}

Basagana, Xavier ^{[3
]}

机构：

[1] Univ Penn, Ctr Populat Studies, Philadelphia, PA 19104 USA

[2] Harvard Univ, Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA 02115 USA

[3] Hosp del Mar, CIBER Epidemiol & Salud Publ CIBERESP, Municipal Inst Med Res IMIM, Ctr Res Environm Epidemiol CREAL, Barcelona 08003, Spain

来源：

HEALTH & PLACE | 2011年 / 17卷 / 04期

关键词：

Child mortality; Infant mortality; Spatial modeling; Geographic Information System (GIS); Proportional hazards; Nepal; PRECEDING BIRTH INTERVALS; UNDER-5; MORTALITY; SURVIVAL; DETERMINANTS; FRAILTY; ASSOCIATION; FRAMEWORK; TRENDS;

D O I：

10.1016/j.healthplace.2011.04.006

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

A survival regression model that allows for spatially correlated random effects is used to predict the hazard of dying among 12,714 children born between 1996 and 2006 in Nepal. The maps of fitted hazard rates show that even after accounting for individual and community-level covariates, a residual spatial pattern in infant mortality remains, with higher mortality concentrated in parts of Nepal's Far-Western and Mid-Western development regions. Results suggest a need to consider health policies and programs that reach children in spatially concentrated high-mortality areas. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：929 / 936

页数：8

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