2020
DOI: 10.1007/s12553-020-00456-z
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DOT: a crowdsourcing Mobile application for disease outbreak detection and surveillance in Mauritius

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“…Disease tracking and prediction systems that depend on social media data have also been shown to be faster than traditional ones, which depend on sentinel healthcare practices for officially collected public health data (Khedo et al, 2020;Lee et al, 2013), and whilst the amount of noise due to general conversations on platforms such as Twitter could constitute challenges to researchers (Masri et al, 2019), a geographical analysis of data (e.g. georeferenced tweets and images) with valid locational information enables researchers to map and predict the spread and burden of the diseases and other healthrelated matters (Lee et al, 2013;Quercia et al, 2015).…”
Section: Implications Of Social Media For Geography Of Healthmentioning
confidence: 99%
“…Disease tracking and prediction systems that depend on social media data have also been shown to be faster than traditional ones, which depend on sentinel healthcare practices for officially collected public health data (Khedo et al, 2020;Lee et al, 2013), and whilst the amount of noise due to general conversations on platforms such as Twitter could constitute challenges to researchers (Masri et al, 2019), a geographical analysis of data (e.g. georeferenced tweets and images) with valid locational information enables researchers to map and predict the spread and burden of the diseases and other healthrelated matters (Lee et al, 2013;Quercia et al, 2015).…”
Section: Implications Of Social Media For Geography Of Healthmentioning
confidence: 99%