Overview

GARBH-INi DRISHTI is a data dashboard that offers a comprehensive overview of one of South East Asia's largest pregnancy cohort datasets. It serves as a gateway for researchers to understand the scope and richness of the data while providing clear instructions on how to seek potential access for approved research purposes.

The dashboard is designed to support advancements in maternal and child health research by fostering collaboration and enabling insights from de-identified participant data. By navigating through this user-friendly platform, researchers can explore key data summaries and initiate the process to access this invaluable resource for their scientific inquiries.

Empowering Research Through Data

We have curated a uniquely comprehensive biomedical database to support groundbreaking research on maternal and child health.

The dashboard offers an overview of the data collected in the GARBH-INi cohort, along with guidance on requesting access and exploring de-identified datasets to advance maternal and child health research through collaboration

Glimpse of what we do

• Women less than 20 weeks of gestation are enrolled and followed throughout pregnancy.
• Investigates sociodemographic and clinical risk factors for preterm birth.
• Sociodemographic factors include family type, education, occupation, state of origin, and living conditions.
• Lifestyle factors cover tobacco and alcohol use, housing, fuel type, water source, sanitation, and smoke exposure.
• Medical characteristics include BMI, inter-pregnancy intervals, previous obstetric history, parity, comorbidities, family history
• Past medical history includes preterm birth, recurrent abortions, cesarean sections, gestational hypertension, and pre-eclampsia.
• Clinical factors include vaginal bleeding, infections, cervical length, bacterial vaginosis, and other conditions like jaundice or gastroenteritis.
• Longitudinal clinical data are evaluated across trimesters to identify preterm birth risks.