Sub-national longitudinal and geospatial analysis of COVID-19 tweets

According to current reporting, the number of active coronavirus disease 2019 (COVID-19) infections is not evenly distributed, both spatially and temporally. Reported COVID-19 infections may not have properly conveyed the full extent of attention to the pandemic. Furthermore, infection metrics are u...

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Veröffentlicht in:	PloS one 2020-10, Vol.15 (10), p.e0241330-e0241330
Hauptverfasser:	Cuomo, Raphael E, Purushothaman, Vidya, Li, Jiawei, Cai, Mingxiang, Mackey, Timothy K
Format:	Artikel
Sprache:	eng
Schlagworte:	Anesthesiology Asymptomatic Attitude to Health Betacoronavirus Community Community Participation Coronavirus Infections - epidemiology Coronavirus Infections - psychology Coronaviruses COVID-19 Disease hot spots Disease transmission Distribution Fatalities Geography, Medical Health aspects Health promotion Health surveillance Humans Infections Keywords Machine learning Medical geography Medicine Online social networks Outbreaks Pandemics Pneumonia Pneumonia, Viral - epidemiology Pneumonia, Viral - psychology Prospective Studies Public Health Rural areas Rural Population - statistics & numerical data SARS-CoV-2 Social distancing Social Media - statistics & numerical data Social networks Spacetime Spatial analysis Statistical analysis Time Factors Trends United States - epidemiology Urban Population - statistics & numerical data Viral diseases
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