- Author:
	        		
		        		
		        		
			        		Laishram LADUSINGH
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Ashish Kumar GUPTA
			        		
			        		;
		        		
		        		
		        		
			        		Awdhesh YADAV
			        		
			        		
		        		
		        		
		        		
			        		
			        		Author Information
			        		
 - Publication Type:Original Article
 - Keywords: Infant mortality; Spatial analysis; Ecological; India
 - MeSH: Censuses; Education; Family Characteristics; Female; Health Surveys; Humans; India*; Infant; Infant Mortality*; Infant*; Investments; Literacy; Socioeconomic Factors; Spatial Analysis
 - From:Epidemiology and Health 2016;38(1):e2016006-
 - CountryRepublic of Korea
 - Language:English
 - Abstract: OBJECTIVES: This goal of this study was to shed light on the ecological context as a potential determinant of the infant mortality rate in nine high-focus states in India. METHODS: Data from the Annual Health Survey (2010-2011), the Census of India (2011), and the District Level Household and Facility Survey 3 (2007-08) were used in this study. In multiple regression analysis explanatory variable such as underdevelopment is measured by the non-working population, and income inequality, quantified as the proportion of households in the bottom wealth quintile. While, the trickle-down effect of education is measured by female literacy, and investment in health, as reflected by neonatal care facilities in primary health centres. RESULTS: A high spatial autocorrelation of district infant mortality rates was observed, and ecological factors were found to have a significant impact on district infant mortality rates. The result also revealed that non-working population and income inequality were found to have a negative effect on the district infant mortality rate. Additionally, female literacy and new-born care facilities were found to have an inverse association with the infant mortality rate. CONCLUSIONS: Interventions at the community level can reduce district infant mortality rates.
 
            
