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Multivariate time series analysis on variables that influence pandemic expansion
Tipajin Thaipisutikul,
Chih Yang Lin
, Sheng Chih Chen
機械工程學系
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引文 斯高帕斯（Scopus）
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Keyphrases
COVID-19
100%
Multivariate Time Series Analysis
100%
Adverse Effects
50%
Illness
50%
Pearson Correlation
50%
Statistical Measures
50%
COVID-19 Pandemic
50%
National Policy
50%
Pandemic Impact
50%
Economic System
50%
Exploratory Data Analysis
50%
Control Decision-making
50%
Pandemic Prevention
50%
Human Mobility
50%
COVID-19 Data
50%
Social Systems
50%
Daily New Cases
50%
Pandemic Growth
50%
Cumulative Confirmed Cases
50%
Pandemic Dynamics
50%
Multivariate Time Series Data
50%
Pandemic Control
50%
Future Pandemics
50%
Havoc
50%
National Action
50%
Mathematics
Variance
100%
Statistics
100%
Time Series Data
100%
Pearson Correlation
100%
Time Series Analysis
100%
Exploratory Data Analysis
100%
Computer Science
Influencing Factor
100%
Multivariate Time Series
100%
Experimental Result
50%
Decision-Making
50%
Pearson Correlation
50%
Time Series Data
50%
Positive Effect
50%
Control Decision
50%
Economics, Econometrics and Finance
Time Series
100%
Exploratory Data Analysis
50%
Statistical Measures
50%