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.
Normative Heart Rate Variability Across Age and Gender in Healthy South Indian Adults
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.
Exploring Spatial Clusters of Caesarean Sections across India
Spatial epidemiological analysis of National Family Health Survey (NFHS) data identifying geographic clusters and hotspots of caesarean-section rates across India.
Pre-Conference Workshop on Infectious Disease Modeling (IDM)
A hands-on, R-based pre-conference workshop on infectious disease modeling, built around collaborative group modeling activities at JHAPSMCON-2026.
Needle Orientation & Closure Direction in TAPP Hernia Repair
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 of the NutriAide App for Anaemia in Pregnancy
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.
Where India Misses Tuberculosis
A spatial epidemiology compendium that estimates India’s tuberculosis case-detection gap at district and sub-district level, comparing modelled incidence against Ni-kshay notifications. It maps where TB cases are being missed and unpacks the drivers of that geographic inequality.
Seasonality of Tuberculosis Notification in India
A longitudinal analysis of monthly TB notifications across 747 Indian districts that separates genuine seasonal disease patterns from administrative reporting artefacts. By comparing public and private sectors, it asks how much of TB’s apparent seasonality is signal and how much is the rhythm of the reporting system itself.
Climate Change and Dengue in India: A Panel-Data Analysis, 1997–2022
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.
Spatial Epidemiology using R
A structured 4-day hands-on workshop on spatial epidemiology in R, covering spatial concepts, map-making, exploratory spatial data analysis, clustering, and interactive visualisation, with a participant handbook.
Health Technology Assessment using R
A hands-on workshop on conducting health technology assessment in R, covering decision-analytic and economic modelling. Participants learn to build decision trees and Markov models, run probabilistic sensitivity analyses, and produce reproducible cost-effectiveness outputs.
Tuberculosis Notification & Differentiated Care in Goa
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.
Geo-Spatial Analysis of Acute Ischemic Stroke Reperfusion Treatment in India
Nationwide geospatial and spatial-epidemiological analysis quantifying how much of India’s population can reach an intravenous thrombolysis (IVT)- or endovascular thrombectomy (EVT)-capable stroke centre within the critical treatment window, exposing stark regional disparities in time-sensitive reperfusion care.
Factors Associated with Prehospital Delay in Acute Stroke
A systematic review (per PRISMA) synthesising the factors associated with delay in reaching care after acute stroke onset, alongside a related geographic accessibility analysis of stroke-centre access.
Anxiety & Depression Among Pregnant Women at a Tertiary Centre
A cross-sectional screening study of antenatal anxiety and depression at a tertiary care centre in Telangana, using GAD-7 and PHQ-9 within a reproducible Quarto pipeline.
Maternal Nutritional Status & Retinopathy of Prematurity
Retrospective observational study examining associations between maternal anthropometry and neonatal outcomes, including birth weight, gestational maturity, and retinopathy of prematurity severity, in a tertiary neonatal intensive care unit in India.
Diagnostic Accuracy of the DEERS Endometrial Imaging Test
A retrospective diagnostic-accuracy study comparing DEERS imaging classifications with histopathology, showing reliable detection of normal tissue but poor sensitivity for malignancy.
R Workshop (BioEngineeR)
An introductory hands-on R and Quarto session that walks participants through building their first Quarto report and rendering it to HTML, Word, and PDF.
Introduction to Health Data Science
A teaching module introducing health data science with R and the tidyverse, featuring exercises, group activities, and a worked COVID-19 Kerala data analysis.
AI in Statistical Analysis
An interactive Quarto Reveal.js workshop on applying AI tools to statistical analysis, with ~27 ggiraph-powered slides and a presenter guide.
National Workshop on Health Data Analytics using R
A 3-day national hands-on workshop on health data analytics using R, combining concepts with coding. Cohort 2, delivered at AIIMS Mangalagiri for clinicians and public-health professionals.
GIS & Spatial Data Science for Public Health
A Quarto-based course teaching GIS and spatial data science for public health using R, from spatial data handling to choropleths and hotspot analysis.
GIS for Epidemiology
A Quarto website course on spatial data handling, mapping disease data, spatial autocorrelation, and cluster detection in R for epidemiologists.
Participatory Data Science for Maternal & Child Health in Tribal Andhra Pradesh
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.