Authors: Debasree Das Gupta*, Utah State University
Topics: Spatial Analysis & Modeling
Keywords: fertility, spatial autoregressive (SAR) models, geographic disparities in health
Session Type: Paper
Start / End Time: 12:40 PM / 2:20 PM
Room: Tyler, Marriott, Mezzanine Level
Presentation File: No File Uploaded
Identifying whether health outcomes vary similarly across neighboring regions—in other words, whether there is significant spatial clustering—is vital for an accurate interpretation of geographic disparities in health. In India, the second most populous country of the world, a record of persisting high fertility is linked to adverse maternal and child health outcomes. Evidence from 2011 Census of India data indicate that the pace of fertility decline is slowing down. Motivated against this backdrop, the aim of this research is to model geographic disparities in fertility outcomes at the local level using spatial autoregressive (SAR) models, identify fertility hot-spots, and quantify relationship with fertility correlates. Results are of specific relevance to public health planning and services.