The Trajectory of Corona-virus and Peoples’ Concern in Africa: A Markov Switching Regression Model Based on Google Trends® Analysis

Journal of Mathematics and Statistics Studies

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Field Value
 
Title The Trajectory of Corona-virus and Peoples’ Concern in Africa: A Markov Switching Regression Model Based on Google Trends® Analysis
 
Creator chellai, fatih
 
Subject Coronavirus, Google Trend, Markov Switching, Concern, Behavior
 
Description Coronavirus pandemic put more pressures on people concerns and behavior in all countries. The aim is to estimate the dynamic correlations and potential effect of the virus spreading on the dynamic of people's concern in four African countries (South Africa, Egypt, Nigeria and Algeria). Based on Google Trends analysis and dynamic of the virus outbreak from March 13, 2020 to August 28, 2020, two-state Markov Switching (MS) regression model was fitted. The findings revealed a weak-positive correlation between Google Trends and new confirmed cases for all countries. For causality inference, MS estimation showed a weak effect of the new confirmed cases on the waves of people interest over the study period. We think that virus spreading effect is vanished by other factors (such Media coverage). This work revealed the importance of web search tools (like Google Trends) in providing policy-makers utile information during periods of pandemic and health.
 
Publisher Al-Kindi Center for Research and Development.
 
Date 2020-10-13
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://al-kindipublisher.com/index.php/jmss/article/view/542
 
Source Journal of Mathematics and Statistics Studies; Vol. 1 No. 1 (2020): Journal of Mathematics and Statistics Studies ; 40-49
 
Language eng
 
Relation https://al-kindipublisher.com/index.php/jmss/article/view/542/561
 
Rights Copyright (c) 2020 Journal of Mathematics and Statistics Studies
 

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