Using web data to improve surveillance for heat sensitive health outcomes.

ABSTRACT:

Background

Elevated and prolonged exposure to extreme heat is an important cause of excess summertime mortality and morbidity. To protect people from health threats, some governments are currently operating syndromic surveillance systems. However, A lack of resources to support time- and labor- intensive diagnostic and reporting processes make it difficult establishing region-specific surveillance systems. Big data created by social media and web search may improve upon the current syndromic surveillance systems by directly capturing people's individual and subjective thoughts and feelings during heat waves. This study aims to investigate the relationship between heat-related web searches, social media messages, and heat-related health outcomes.

Methods

We collected Twitter

SUBMITTER: Jung J 

PROVIDER: S-EPMC6615306 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature