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COVID-19 Data Analysis in a Stationary Time Series
Authors
Yao Joanna
Rubric:Medicine and healthcare
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This paper starts with a general discussion regarding the spread of COVID-19 and aims to use R to make regional predictions regarding the virus's spread. We carried out multiple lines of code of time series models using data sets from different countries, specifically New Jersey, United States, and Shanghai, China. We sought to analyze patterns in the virus’s proliferation to make future forecasts. The results demonstrate that the model with the coefficients (1, 0, 0) can be useful to forecast the number of COVID-19 cases. This statistical forecast can be helpful for current and future resources allocation and epidemic prevention, as well as epidemiology and disease study.
Keywords
COVID19
epidemiology
time series
R
prediction
AR time series
Authors
Yao Joanna
Rubric:Medicine and healthcare
341
0
Share
341
0
References:
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