2021
DOI: 10.1007/s10708-021-10427-0
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Modelling spatial variations of novel coronavirus disease (COVID-19): evidence from a global perspective

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Cited by 11 publications
(6 citation statements)
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References 23 publications
(53 reference statements)
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“…The figures about annual deaths for the years between 2015 and 2020 in 79 countries are collected from the World Mortality Dataset [22] and from national health authorities. 1 To construct the index of excess mortality or p-score, the following formula is estimated: is the average number of deaths between 2015 and 2019 in country c. Considering the geographically unequal distribution of Covid-19 fatalities [2,23], the distribution of the dependent variable proved to be not normal, after testing with the Shapiro-Wilk test. To address this issue, alongside heteroskedasticity and outliers, the author ran a median quantile regression model.…”
Section: Methodsmentioning
confidence: 99%
“…The figures about annual deaths for the years between 2015 and 2020 in 79 countries are collected from the World Mortality Dataset [22] and from national health authorities. 1 To construct the index of excess mortality or p-score, the following formula is estimated: is the average number of deaths between 2015 and 2019 in country c. Considering the geographically unequal distribution of Covid-19 fatalities [2,23], the distribution of the dependent variable proved to be not normal, after testing with the Shapiro-Wilk test. To address this issue, alongside heteroskedasticity and outliers, the author ran a median quantile regression model.…”
Section: Methodsmentioning
confidence: 99%
“…Idogawa et al ( 2 ) used data from Johns Hopkins University's global coronavirus dashboard, data from the European Center for Disease Prevention and Control, and WHO situation reports to construct an interactive graph of coronavirus disease cases and deaths to help track COVID-19 trends over time. Appiah and Kursah ( 3 ) used WHO data to study the impact of confirmed COVID-19 cases on the number of deaths at the global and regional levels, demonstrating a positive correlation between the two.…”
Section: Literature Reviewmentioning
confidence: 99%
“…After the break of coronavirus, studies have used statistical methods to determine the nexus between cases, the factors of transmission and the determination of clusters (Appiah-Otoo & Kursah, 2021). As the characteristics of Covid-19 are original and wild, it spread very quickly.…”
Section: Review Of the Literaturementioning
confidence: 99%