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Gurpreet Singh

(he/him)

Associate Professor (Community Medicine) & Epidemiologist

Professional Summary

Dr Gurpreet Singh is a Physician, Epidemiologist and Health Data Science enthusiast serving as Associate Professor of Community Medicine at the Armed Forces Medical College, India. His work integrates clinical experience with expertise in spatial epidemiology, disease modelling, and public health data science. He believes that technology should be harnessed for its ethical, equitable and efficient use in healthcare. In the Indian Armed Forces, he has led public health operations, outbreak responses, and health system strengthening initiatives. His research focuses on converting routine health data into actionable insights for surveillance and policy. He actively promotes open-source analytics and capacity building by training researchers and professionals in data-driven public health.

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Education

Bachelor of Medicine and Bachelor of Surgery (MBBS)

Armed Forces Medical College, Pune

Doctorate of Medicine (MD Community Medicine)

Armed Forces Medical College, Pune

Diplomat National Board (DNB Preventive and Social Medicine)

Armed Forces Medical College, Pune

PhD Epidemiology (Data Science in Healthcare)

Sree Chitra Tirunal Instite for Medical Sciences and Technology, Trivandrum

Interests

Medicine Public Health Epidemiology Data Science Spatial and Spatiotemporal Epidemiology Infectious Disease Modelling Open source, reproducible, and scalable research Health Systems and Health Policies

📚 My Research

I’m a Physician Scientist working as an Associate Professor in the Department of Community Medicine at Armed Forces Medical College, Pune, India.

I apply a range of data science, epidemiology and statistical methods to comprehensively investigate the role of science and technology in the healthcare.

I love to work in interdisciplinary sciences. Please reach out to collaborate 😃

Featured Publications

Exploratory Data Analysis

Exploratory Spatio-Temporal Data Analysis (ESTDA) of Dengue and its association with climatic, environmental, and sociodemographic factors in Punjab, India

The study was carried out to understand spatiotemporal patterns of dengue and its association with risk factors using routine data from health and allied sectors using Data Science …

Gurpreet Singh

• Jul 1, 2023 • 3 min read

Climate Risk

Development and Use of a Reproducible Framework for Spatiotemporal Climatic Risk Assessment and its Association with Decadal Trend of Dengue in India

The study aimed to develop a reproducible, open-source, and scalable framework for extracting climate data from satellite imagery, understanding dengue’s decadal trend in India, …

Gurpreet Singh

• Mar 1, 2022 • 1 min read

Routine Data

A Systematic Approach to Cleaning Routine Health Surveillance Datasets: An Illustration Using National Vector Borne Disease Control Programme Data of Punjab, India

A logic model for data cleaning was used and it included an algorithm for screening, diagnosis, and editing datasets in a rule-based, interactive, and semi-automated manner

Gurpreet Singh

• Aug 1, 2021 • 1 min read

SARS-CoV-2

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Setting-specific Transmission Rates: A Systematic Review and Meta-analysis

We conducted a systematic review to estimate secondary attack rates (SARs) and observed reproduction numbers (Robs) in different settings exploring differences by age, symptom …

Hayley a Thompson Et Al

• Aug 1, 2021 • 1 min read

Recent Publications

Gurpreet Singh, Dr Biju Soman, Dr Gagandeep Singh Grover (2023). Exploratory Spatio-Temporal Data Analysis (ESTDA) of Dengue and its association with climatic, environmental, and sociodemographic factors in Punjab, India. Ecological Informatics.

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Gurpreet Singh, Dr Biju Soman (2022). Development and Use of a Reproducible Framework for Spatiotemporal Climatic Risk Assessment and its Association with Decadal Trend of Dengue in India. IJCM.

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Gurpreet Singh, Dr Biju Soman, Dr Arun Mitra (2021). A Systematic Approach to Cleaning Routine Health Surveillance Datasets: An Illustration Using National Vector Borne Disease Control Programme Data of Punjab, India. ICT4D 2021.

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Hayley a Thompson Et Al, Gurpreet Singh (2021). Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Setting-specific Transmission Rates: A Systematic Review and Meta-analysis. Clinical Infectious Diseases.

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Recent & Upcoming Talks