Clusters in the Spread of the COVID-19 Pandemic: Evidence From the G20 Countries

Tian, Meng

doi:10.3389/fpubh.2020.628789

Cited by 9 publications

(6 citation statements)

References 12 publications

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“…This underlines the nature of the COVID-19 pandemic and maybe of all pandemics in the past (Spanish flu in 1918) and in future. Meng studied the spread of the COVID-19 pandemic in G20 countries and found that the cases and deaths related to the COVID-19 pandemic had a nonlinear nature and convergence [58]. This means that results about socio-economic, cultural, and population correlates of the effects of the pandemic depend strongly on the sample of countries (e.g., high-income vs low-income) and the phase of the pandemic.…”

Section: Discussionmentioning

confidence: 99%

Socio-cultural Correlates of the COVID-19 Outcomes

Lajunen

Gaygısız

2022

J Epidemiol Glob Health

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While basically all countries have been hit by the COVID-19 pandemic, the impact has varied in large degrees among countries. In the present study, national differences in six COVID-19 indicators (COVID-19 deaths per capita, excess mortality, change in GDP per capita, vaccination rate, stringency index, and overall impact of the pandemic) were studied in relation to socio-economic and Hofstede's cultural dimensions by using the latest data available. The results differed to some degree from the studies conducted in the earlier stage of the pandemic. COVID-19 deaths per capita were predicted by Uncertainty Avoidance (UA) and Indulgence (IVR); excess mortality by UA; the impact of pandemics by Power Distance (PDI), Long-term Orientation (LTOWS) and IVR; change in GDP per capita by PDI; vaccination rate by Individualism and UA; and Stringency Index by LTOWS. In addition to further clarifying the role of cultural dimensions in the pandemic, three conclusions can be drawn. First, the pandemic reached different countries at different times, which is reflected in the results. The conclusion about the role of socio-economic and cultural factors can be drawn only after the pandemic. Second, cultural dimensions were related to COVID-19 measures only when socio-economic indicators were not considered but lost their significance when socio-economic variables were entered into the models. Cultural dimensions influence the outcome variables via socio-economic factors. Third, earlier studies have focused mainly on COVID-19 deaths. The impact of the COVID-19 pandemic is a complex phenomenon and cannot be reduced to the death rate.

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Section: Discussionmentioning

confidence: 99%

Socio-cultural Correlates of the COVID-19 Outcomes

Lajunen

Gaygısız

2022

J Epidemiol Glob Health

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“…A 7-day moving average was used to highlight longer-term trends and cycles, as well as to smooth out short-term fluctuations of the data [55]. All data were decomposed into trend and cycle components, using the Hodrick-Prescott filter [56,57].…”

Section: Methodsmentioning

confidence: 99%

COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism

et al. 2021

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COVID-19 has significantly influenced tourism, including tourists’ and residents’ attitudes toward tourism. At the same time, attitudes and consumer confidence are important for economic recovery in the tourism sector. This study explores the effects of the COVID-19 pandemic on people’s attitudes toward tourism by analyzing time-series data on the number of COVID-19 positive cases, vaccinations, news sentiment, a total number of daily mentions of tourism, and the share of voice for positive and negative sentiment toward tourism. The applied data analysis techniques include descriptive analysis, visual representation of data, data decomposition into trend and cycle components, unit root tests, Granger causality test, and multiple time series regression. The results demonstrate that the COVID-19 statistics and media coverage have significant effects on interest in tourism in general, as well as the positive and negative sentiment toward tourism. The results contribute to knowledge and practice by describing the effects of the disease statistics on attitudes toward tourism, introducing social media sentiment analysis as an opportunity to measure positive and negative sentiment toward tourism, and providing recommendations for government authorities, destination management organizations, and tourism providers.

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“…In the literature, some studies identified patterns of the Covid-19 impact in different countries [4][5][6][7][8]. Other works have used clusters to analyze the Covid-19 impact on counties across the United States [9][10][11].…”

Section: Sociodemographic Factors Associated Withmentioning

confidence: 99%

Sociodemographic Factors Associated with Covid-19 Mortality in Brazilian Municipalities: an approach supported by clustering

Lima

Silva

Meira

et al. 2022

Preprint

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The Covid-19 pandemic affected Brazil with severity. Brazil is a large country characterized by significant socioeconomic inequalities among its regions. This study aimed to check the sociodemographic factors associated with the Covid-19 mortality rate in Brazilian municipalities. This paper is an ecological study that analyzed data of the first three death waves, with Brazilian municipalities as a unit of analysis. Municipalities were clusterized based on their vulnerabilities in the face of Covid-19. The results show that, from the second death wave in the country, the municipalities with lower social vulnerability were more likely to have a higher mortality level than the other municipalities. The results also show that, among the attributes analyzed, the urban population percentage was the one that most strongly contributed to a municipality being more likely to have a higher level of mortality. Finally, this work demonstrated that using municipality clustering contributes to a more thoughtful and accurate analysis of correlations in ecological studies.

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Clusters in the Spread of the COVID-19 Pandemic: Evidence From the G20 Countries

Cited by 9 publications

References 12 publications

Socio-cultural Correlates of the COVID-19 Outcomes

Socio-cultural Correlates of the COVID-19 Outcomes

COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism

Sociodemographic Factors Associated with Covid-19 Mortality in Brazilian Municipalities: an approach supported by clustering

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