A geospatial based hotspot and regression analysis of abortion and stillbirth prevalence in Manipur, India.

Safe delivery of healthy newborn from the state of pregnancy is one of the main objectives of prenatal health care. Women face maternal health issues due to lack of awareness, excessive stress during pregnancies and lack of appropriate maternal health-care services. The main objectives of this research study is to identify the abortion and stillbirth prevalent hotspot zones in Manipur from the year 2011 to 2018 and identification of statistically significant factors related to the cause of abortion and stillbirth. It was observed from the hotspot results that Lamphelpat, Kakching, Thoubal, and Churachandpur are the blocks where abortion is more prevalent, whereas stillbirth cases were found to be concentrated in Lamphelpat block. Generated regression model showed good model performance with adjusted R2 = 0.68, Akaike Information Criterion (AIC) = 608.72, Moran's I = 0.37, and adjusted R2 = 0.73, AIC = 433.26, Moran's I = -0.05 for abortion and stillbirth, respectively. Through regression modeling three factors i.e., main worker female, female working as agriculture labor and female household worker were found to be significant for the cause maternal issues like abortion and stillbirth. There is a need to follow up pregnant women with these risk factors more frequently and in a more qualified way.