Multivariate time series analysis on variables that influence pandemic expansion
19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2018935
ABSTRACT
The ongoing COVID-19 pandemic has wreaked havoc on social and economic systems worldwide. The variance in the rapidly increasing number of illnesses and deaths in each country is primarily due to national policies and actions. As a result, governments and institutions need to get insights into the critical factors influencing COVID-19 future case counts to properly manage the adverse effects of pandemics and promptly prepare appropriate measures. Thus, in this paper, we conduct extensive experiments on the real-world covid-19 datasets to examine the important factors influencing in the pandemic growth. In particular, we perform an exploratory data analysis to get the statistic and characteristics of multivariate time-series data on pandemic dynamic. Also, we utilize a statistical measure such as Pearson correlation to compute the relations of the past on the future daily new cases. The experimental results demonstrate that some restrictions have a positive effect on daily new confirmed cases at the early stage of the local pandemic transmission. Also, the results show that the early trend of COVID-19 can be explained well by human mobility in various categories. Thus, our proposed framework can be served as a guideline for future pandemic prevention and control decision-making. © 2022 IEEE.
correlation; covid-19; multivariate time-series; pandemic analysis; statistical measure; Correlation methods; Decision making; Multivariant analysis; Time series analysis; Adverse effect; Critical factors; Multivariate time series; Multivariate time series analysis; National-policy; Pandemic analyse; Social and economic systems; Statistical measures
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022
Year:
2022
Document Type:
Article
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