Book Chapter in Computational Demography and Health

TL;DR

This chapter reviews how recent advances in computing, data collection, and analysis have transformed demography and health research through computational methods, big data, and precision health, enabling new data sources and applications.

Contribution

It provides a comprehensive overview of emerging data sources, methods, and applications in computational demography and health, highlighting interdisciplinary approaches.

Findings

Introduction of new data sources like mobile and app data

Advancement of analytical tools for complex behavioral studies

Integration of big data into demographic and health research

Abstract

Recent developments in computing, data entry and generation, and analytic tools have changed the landscape of modern demography and health research. These changes have come to be known as computational demography, big data, and precision health in the field. This emerging interdisciplinary research comprises social scientists, physical scientists, engineers, data scientists, and disease experts. This work has changed how we use administrative data, conduct surveys, and allow for complex behavioral studies via big data (electronic trace data from mobile phones, apps, etc.). This chapter reviews this emerging field's new data sources, methods, and applications.