Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala.
José Tomás PrietoJorge H JaraJuan Pablo AlvisLuis R FurlanChristian Travis MurrayJudith GarciaPierre-Jean BenghoziSusan Cornelia Kaydos-DanielsPublished in: JMIR public health and surveillance (2017)
Our system has the potential to serve as a practical complement to respiratory virus surveillance in Guatemala. Its strongest attributes are simplicity, flexibility, and timeliness. The biggest challenge was low enrollment caused by people's fear of victimization and lack of phone credit. Authorities in Central America could test similar methods to improve the timeliness, and extend the breadth, of disease surveillance. It may allow them to rapidly detect localized or unusual circulation of acute respiratory illness and trigger appropriate public health actions.
Keyphrases
- public health
- global health
- liver failure
- intellectual disability
- electronic health record
- big data
- respiratory tract
- respiratory failure
- intensive care unit
- machine learning
- drug induced
- human health
- risk assessment
- climate change
- health insurance
- artificial intelligence
- data analysis
- affordable care act
- high school