Three-Day Workshop on Reproducible and AI-aided Health Data Analysis at IQRAA
A multi-day data analysis workshop series in R, including an AI-basics module and a hands-on EDA module using tidyverse verbs on a WHO tuberculosis dataset.
A multi-day data analysis workshop series in R, including an AI-basics module and a hands-on EDA module using tidyverse verbs on a WHO tuberculosis dataset.
A cross-sectional study establishing region-specific normative reference values for resting heart rate variability (HRV) in 249 healthy South Indian adults, characterising how cardiac autonomic function varies with age and gender. Published in Annals of Neurosciences.
Mapping and integrating routine HMIS, community-generated, and programme data to move tribal primary health centres from data-rich and information-poor toward local decision support.
Spatial epidemiological analysis of National Family Health Survey (NFHS) data identifying geographic clusters and hotspots of caesarean-section rates across India.
A hands-on, R-based pre-conference workshop on infectious disease modeling, built around collaborative group modeling activities at JHAPSMCON-2026.
Protocol for a prospective randomised controlled trial evaluating how needle orientation and closure direction affect peritoneal flap reconstruction during laparoscopic transabdominal preperitoneal (TAPP) inguinal-hernia repair.
A quasi-experimental trial testing whether the NutriAide mobile app — daily dietary logging plus reminders — improves haemoglobin in anaemic pregnant women beyond routine iron supplementation and counselling. The app showed no significant advantage, with app adherence a key limiting factor.
Dengue is a climate-sensitive vector-borne disease whose burden in India has risen alongside shifting temperature and rainfall patterns. This project uses panel-data modelling across Indian states from 1997 to 2022 to quantify how climate variability shapes dengue incidence.
Analysis of TB notification registers, differentiated-care models, and comorbidity patterns in Goa, where the TB death rate has run well above the national average.
A retrospective diagnostic-accuracy study comparing DEERS imaging classifications with histopathology, showing reliable detection of normal tissue but poor sensitivity for malignancy.
ICMR investigator-initiated extramural grant proposal to map and integrate reproductive and child health (RCH) data sources and stakeholders in ITDA-Rampachodavaram, assess data utilisation among PHC medical officers, and co-design data-science solutions for RCH service delivery through participatory methods.
An interactive Quarto Reveal.js workshop on applying AI tools to statistical analysis, with ~27 ggiraph-powered slides and a presenter guide.
Doctoral action research applying a participatory data-science approach to co-design and implement decision-support solutions, dashboards and integrated datasets, for maternal and child health in tribal primary health centres of ITDA-Rampachodavaram, Alluri Sitarama Raju district, Andhra Pradesh.
This is a blog on the need for innovative approaches in generating evidence on non communicable diseases and the role of data science in bringing equity to research in indegenous systems of medicine like Ayurveda.
This is a talk for the training of the state Auryvedic Medical Officers (STP 608) in Kerala on Non Communicable Diseases. STP608 is a course developed by the Indian System of Medicine (ISM), Government of Kerala for training the state medical officers in Ayurveda.