Ncov2019Tracking taps into the Twitter Streaming API and monitors tweets mentioning keywords related to the novel coronavirus disease (CoViD-19) outbreak. A machine learning system trained with the supervision of experts filters informative tweets. Geographical entities mentioned in tweets - such as country and city names - are identified using the GeoNames database and used to place tweets on a global map.
The map shows events, i.e., groups of tweets that recently mentioned the same place. Blobs indicate mentioned places (not the place those tweets were posted from). Blob size relates to the frequency of recent mentions. Countries are color-coded to indicate country mentions. You can click on a place to learn more about what is going on there.
Ncov2019Tracking monitors the Twitter global conversation to provide an awareness tool able to follow multiple events in a georeferenced context and in real time. It does not track the virus spread rather the extent of the global discussion around the coronavirus outbreak. If you are looking for a map of the current outbreak extension, please visit HealthMap.
Ncov2019Tracking was designed and built by researchers of the ISI Foundation (Marco Quaggiotto, André Panisson, Ciro Cattuto, Daniela Paolotti, Michele Tizzoni, MicheleTizzani) and is based on the former experience of EbolaTracking.org
