Applying Data Science to Assess Postpartum Depression in Women from Rural Bihar in India
Abstract: Postpartum Depression (PPD) affects women during pregnancy or within a year of giving birth. This paper uses data science principles to study the prevalence of PPD in women from the state of Bihar in India. Data was obtained by trained surveyors for a random sample of 531 women, aged 15 to 41 years old, who had been pregnant or recently given birth. Our results show a significant occurrence of PPD in the population with 24% ± 4% of women showing symptoms based on a 95% confidence interval. We analyze the impact of age, number of children and sex of the last child on PPD. PPD was found to be 70% more prevalent in women between the ages of 30 and 39, correlated with them having more children. Women in this age group had on an average 4.6 children compared to the overall sample average of 2.1 children per mother. Keywords: postpartum depression, rural women, data science