# Web data mining for public health purposes

## TL;DR

This paper explores how web data mining can be used to monitor public health by developing new prediction methods and applications to improve health event tracking and resource allocation.

## Contribution

It introduces novel approaches for predicting health events and new applications of web data for public health monitoring, advancing existing methods.

## Key findings

- Developed new prediction models for health events from web data.
- Created innovative applications for real-time health monitoring.
- Enhanced accuracy of public health surveillance using web data.

## Abstract

For a long time, public health events, such as disease incidence or vaccination activity, have been monitored to keep track of the health status of the population, allowing to evaluate the effect of public health initiatives and to decide where resources for improving public health are best spent. This thesis investigates the use of web data mining for public health monitoring, and makes contributions in the following two areas: New approaches for predicting public health events from web mined data, and novel applications of web mined data for public health monitoring.