CollaborativeHealth: Smart Technologies to Surveil Outbreaks of Infectious Diseases Through Direct and Indirect Citizen Participation
| Autor: | José Antonio García-Díaz, José Medina-Moreira, Rafael Valencia-García, Sheila Pinto, Oscar Apolinario-Arzube, Harry Luna-Aveiga, Juan Miguel Gómez-Berbis, José Ignacio Estrade-Cabrera |
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| Rok vydání: | 2020 |
| Předmět: |
Warning system
business.industry Computer science Sentiment analysis Internet privacy Outbreak 02 engineering and technology medicine.disease_cause Infodemiology 03 medical and health sciences 0302 clinical medicine Infectious disease (medical specialty) 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Confidentiality The Internet 030212 general & internal medicine Chikungunya business |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030519735 CSOC (3) |
| DOI: | 10.1007/978-3-030-51974-2_15 |
| Popis: | Early warning systems are essential to mitigate the consequences of outbreaks of infectious diseases, which causes millions of deaths every year. Surveillance systems collect data on epidemic-prone diseases to trigger prompt public health interventions. In recent years, these systems have improved significantly thanks to infodemiology, a recent research field that promotes the use of health-data collected from the Internet. However, early warning systems can be improved regarding the interpretability and confidentiality of the compiled evidences. In addition, they still rely heavily on human intervention to distinguish among confident and non-confident evidences. To solve these concerns we present CollaborativeHealth, an infodemiology platform that compiles evidence from (1) social networks, (2) public reports, and (3) voluntary citizen participation; and makes use of deep-learning technologies to extract knowledge regarding infectious diseases, their symptoms, or poor environment conditions what promote the propagation of these diseases. Finally, all the compiled evidence is available to health-professionals in real-time through a configurable dashboard. The validation of CollaborativeHealth was performed with a real use-case about monitoring infectious disease cases related to Zika, Dengue, Chikungunya, and Influenza in Ecuador. |
| Databáze: | OpenAIRE |
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