DOT: a crowdsourcing Mobile application for disease outbreak detection and surveillance in Mauritius - Khedo, Kavi; Baichoo, Shakuntala; Nagowah, Soulakshmee Devi; Mungloo-Dilmohamud, Zahra; Cadersaib, Zarine; Cheerkoot-Jalim, Sudha; Nagowah, Leckraj; Sookha, Lownish (Health and technology, 2020)
Keywords: Algorithms; Applications programs; Big Data; Biological and Medical Physics; Biomedical Engineering and Bioengineering; Biomedicine; Biophysics; Computational Biology/Bioinformatics; Conjunctivitis; Crowdsourcing; Data analysis; Data collection; Data mining; Decision making; Disease; Ear; Engineering; Epidemics; Graphical representations; Health hazards; Health surveillance; Medicine/Public Health; Mobile communications networks; Mobile computing; Original Paper; Outbreaks; Pandemics; Probabilistic methods; Public health; R & D/Technology Policy; Real time; Signs and symptoms; Social networks; Surveillance systems; Swine flu; United States--US; Mauritius; Crowdsourcing; Mobile applications; Disease outbreaks; Communicable diseases