CollaborativeHealth - Infectious disease monitoring platform on Twitter
Abstract:
Outbreaks of infectious diseases such as SARS, MERS or COVID-2019 cause the loss of human lives, increased pressure on hospitals and economic losses. Early detection allows these effects to be mitigated, as it allows measures to be applied when they are not so harmful. Although this task has traditionally been carried out through tests in crowded places such as airports, advances in Natural Language Processing have allow to include the analysis of what people are talking about on social networks. Here we present CollaborativeHealth, an epidemiological surveillance tool for active monitoring on social networks and citizen participation. This tool makes it easy for trackers to spot geographical areas where citizens talk about symptoms, illnesses, or risks. It also makes it possible to evaluate the acceptance by citizens of the measures taken by the competent authorities.
Año de publicación:
2021
Keywords:
- Ontologies
- BLOCKCHAIN
- Infodemiology
- Information Retrieval
- opinion mining
Fuente:
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Infección
Áreas temáticas:
- Funcionamiento de bibliotecas y archivos