Surveillance

Precision Public Health

Surveillance

The objective is to generate with actionable small areal insights on hypertension, obesity and diabetes care in USA and India. The approach is to harmonize probability sample surveys and non-probability data sources such as administrative sources, and use small-area estimation techniques and decision sciences frameworks.

I collaborated with Dr. Mohammed K. Ali, Dr. Nikhil Tandon, Thomas Hsiao, and others.

Publications: USA

We collaborated with Lauren Fede and Cameron Gocke of Pursuant Health LLC to report the following:

  1. Hsiao 2025 JAMA Cardiology presents national care continua for high blood pressure using data from health kiosks
  2. Hsiao 2025 Hypertension presents subnational (county, state) care continua for high blood pressure using data from health kiosks
  3. Varghese 2025 Obesity (Under Review) presents subnational estimates of overweight and obesity using data from health kiosks and Epic Cosmos.

Publications: India

  1. Varghese 2023 JAMA Internal Medicine on Diabetes in India
  2. Varghese 2023 JAMA Network Open on Hypertension in India
  3. Varghese 2023 The Lancet Diabetes & Endocrinology on Advancing diabetes surveillance

Getting Involved

These projects are ideal for doctoral students who are interested in using non-probability samples for non-communicable disease surveillance

Pre-requisites

  1. Proficiency in R
  2. Required Coursework: GH 523: Quantitative Methods or equivalent training in survey data analysis, EPI 568 Bias Analysis
  3. Ideal Coursework: EPI 563 Concepts and Applications in Spatial Epidemiology or equivalent training in spatial analysis