Lead Analyst Mapping India's National Diabetes Epidemic (800k+ People)

As a lead author on this study, I designed a novel analytical framework to map a national-scale epidemic. My innovation was to use advanced spatial statistical techniques not just on environmental data, but to analyze the complex interplay between diabetes and a full range of sociodemographic, behavioral, and epidemiological triggers .

Analyzing a massive dataset of 803,164 individuals, my models:

1. Identified 4 major, previously unquantified “hotspots” of diabetes prevalence .
2. Quantified the precise behavioral risk factors (e.g., showing that smoking could triple the odds of diabetes ).
3. Investigated the geographic overlap with Tuberculosis (TB) for the first time at a national scale.

This research was published in JAMA Network Open and was selected by the journal’s editors for a special “Invited Commentary”. In the commentary, Dr. Daniel J. Corsi, PhD, of the University of Ottawa’s School of Epidemiology and Public Health, praised the work as a “significant contribution” , a “novel analysis” , and a “valuable contribution” with direct “implications for disease control priority setting in India”.

Links:

• Read the “Invited Commentary” on My Paper