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A Comparative Perceptualization Study
of Global Death Data attributed to Coronavirus Disease 2019 (COVID-19) and other factors
by David Worrall

References

Statistical Data


John Hopkins University Data: COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE). https://github.com/CSSEGISandData/COVID-19
The Covid Tracking Project: Reportedly, the most complete data available about COVID-19 in the US. https://covidtracking.com/World Country/State Data: John Hopkins University, via https://data.world/shad/covid-19-time-series-data/
US State Data: NewYork Times: https://github.com/nytimes/covid-19-data/blob/master/us-states.csv
US County Data: NewYork Times: https://github.com/nytimes/covid-19-data/blob/master/us-counties.csv
Geographic & Demographic Data: Internet Usage Statistics: https://www.internetworldstats.com/stats.htm and https://www.internetworldstats.com/list3.htm
World Factbook Data: https://www.cia.gov/library/publications/download

Programming tools


Le Forestier, B. 202?? Yattag: A Python library for generating HTML or XML in a pythonic way. https://www.yattag.org/
Huang,Xianxian, 2019. Anomoly Detection for Python: https://github.com/Marcnuth/AnomalyDetection
See also his: Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning https://github.com/Marcnuth/genetics
Kejariwal‎, A. 2015. Introducing practical and robust anomaly detection in a time series. https://blog.twitter.com/engineering/en_us/a/2015/introducing-practical-and-robust-anomaly-detection-in-a-time-series.html

Other useful resources


Seheult, R. 2020. The role of `Vitamin D in Covid-19. Vitamin D and COVID 19: The Evidence for Prevention and Treatment of Coronavirus (SARS CoV 2) https://www.youtube.com/watch?v=ha2mLz-Xdpg


Last update of this page: 2021-06-01