Ashish Kumar Gupta|Laishram Ladusingh|Kakoli Borkotoky
Spatial clustering and risk factors of infant mortality: district-level assessment of high-focus states in India
International Institute for Population Sciences|International Institute for Population Sciences|International Institute for Population Sciences
study analyzes spatial clustering risk factors infant mortality across highfocus states india using annual health survey 20102011 census india 2011 district level household facility survey3 20072008 research found substantial spatial autocorrelation across districts identified hot spots characterized higher infant mortality rate imr districts central region uttar pradesh madhya pradesh india study considered several theoretical perspectives implements series spatial regression models allows accounting household amenities motherchild health facility variables determine key risk factors infant mortality empirical analysis underscores importance infrastructure health facility improving infant mortality scenario districts regression results show districts higher proportion 24h functioning primary healthcare centers overall less infant mortality addition absence drinking water treated source unavailability toilet facilities higher proportion people bottom wealth quintile household adversely associated imr conclusion reduction infant mortality would possible areaspecific measures would adopted clusters districts infant mortality high irrespective state belong