Prediction of the infectious outbreak COVID-19 and prevalence of anxiety: Global evidence
Forecasting disease outbreaks in real-time using time-series data can help for the planning of public health interventions. We used a support vector machine (SVM) model using epidemiological data provided by Johns Hopkins University Centre for Systems Science and Engineering (JHU CCSE), World Health...
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Main Authors: | , , , , , , , , , , |
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Format: | Article |
Published: |
MDPI
2021
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Subjects: | |
Online Access: | http://eprints.um.edu.my/35335/ |
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