Trackers
[1] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
[2] https://who.sprinklr.com/
[3] Perú https://www.bing.com/covid/local/peru
[4] https://extranet.who.int/publicemergency
[5] Brasil https://olhardigital.com.br/coronavirus/noticia/coronavirus-brasil-registra-904-casos-confirmados-e-11-mortes/98089
Codes
[1] https://laconicml.com/predict-infected-people-coronavirus-python
[2] https://github.com/fincahuanaco/covid19peru
[3] https://www.tecmint.com/convert-files-to-utf-8-encoding-in-linux/
Datasets
[1] Timeseries https://github.com/CSSEGISandData/COVID-19
[2] images https://www.kaggle.com/bachrr/covid-chest-xray/data
[2.1] https://theaisummer.com/medical-image-deep-learning
[3] Brazil daily report https://github.com/wcota/covid19br
Other Datasets
[1] Datasus http://www2.datasus.gov.br/DATASUS/index.php
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