2021
DOI: 10.1016/j.chaos.2021.110718
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The Cyclicity of coronavirus cases: “Waves” and the “weekend effect”

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Cited by 18 publications
(10 citation statements)
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“…Those are gathered from the Italian Ministry of Health's dataset, which reports official data for each province and day. Given the importance of attending Mass on Sunday, the Christian holy day, and the so-called weekend effect in the report of COVID-19 cases and deaths (Soukhovolsky et al, 2021), we chose to run our analysis using the week as the basic unit of time. For this reason, we summed the data to obtain total COVID-19 cases and deaths per week per region, from the week ending on Sunday, 15 March, the first week in which Italy faced a total lockdown, to that ending on 17 May, since the ban on celebrating Mass with believers attending in person was lifted from Monday, 18 May.…”
Section: Methodsmentioning
confidence: 99%
“…Those are gathered from the Italian Ministry of Health's dataset, which reports official data for each province and day. Given the importance of attending Mass on Sunday, the Christian holy day, and the so-called weekend effect in the report of COVID-19 cases and deaths (Soukhovolsky et al, 2021), we chose to run our analysis using the week as the basic unit of time. For this reason, we summed the data to obtain total COVID-19 cases and deaths per week per region, from the week ending on Sunday, 15 March, the first week in which Italy faced a total lockdown, to that ending on 17 May, since the ban on celebrating Mass with believers attending in person was lifted from Monday, 18 May.…”
Section: Methodsmentioning
confidence: 99%
“…Following therefore previous contributions ( Alfano, 2021 ) we lag the variable STRINGENCY by 28 days, to measure the impact of STRINGENCY on people who did not exhibit symptoms after the NPI was enforced. This permits us to have four full weeks of lag, avoiding the so-called weekend effect that has an effect on the number of cases reported ( Soukhovolsky et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…According to the literature, 97.5% of people who develop symptoms show them within 11.5 days from the infection (the 95% confidence interval is between 8.2 and 15.6 days, Lauer et al ., 2020 ). The literature also identified a ‘weekend effect’ on COVID-19 cases ( Soukhovolsky et al. , 2021 ), possibly due to limited testing and processing of these tests during weekends, which makes the number of cases lower on Saturdays, Sundays and Mondays.…”
Section: Methodsmentioning
confidence: 99%