A cross-country database of COVID-19 testing

Hasell, Joe; Mathieu, Edouard; Beltekian, Diana; Macdonald, Bobbie; Giattino, Charlie; Ortiz-Ospina, Esteban; Roser, Max; Ritchie, Hannah

doi:10.1038/s41597-020-00688-8

Cited by 512 publications

(494 citation statements)

References 5 publications

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“…Seven-day moving averages of daily numbers of tests, positivity rates and numbers of new cases among 99 countries where the data were available as of November 21, 2020 were downloaded from ourworldindata.org (https://ourworldindata.org/coronavirus-testing). Hasell et al 1 provide a description of the database and derived variables as of August 31, 2020. The testing policy on a given day in each country was also downloaded from ourworldindata.org and was matched by country and date to the file containing tests and cases.…”

Section: Methodsmentioning

confidence: 99%

Association of COVID-19 spread with on-demand testing

Robertson

2020

Preprint

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Comparisons of COVID-19 testing policies in 99 countries indicate that testing on demand is associated with an increase in cases 14 days after the tests. Adjusted for number of new cases and the positivity rate, for each 10,000 negative tests on a given day there were 90-110 new cases in 14 days that would not have otherwise occurred. Approximately 3.1 million or 21 percent of new cases in periods of on-demand testing are likely due to that policy through early November 2020. During periods in a given country when only persons with symptoms were tested, or persons with symptoms and key vulnerable populations were tested, negative tests were associated with fewer new cases 14 days out. Apparently when tests are available on demand, those who test negative are engaging in activities that increase the risk of exposure.

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Section: Methodsmentioning

confidence: 99%

Association of COVID-19 spread with on-demand testing

Robertson

2020

Preprint

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“…Testing density 18 is analyzed according to: the number of people tested: in Canada, Netherlands, Norway, South Korea, Sweden; the number of samples tested: in Finland, Poland and Portugal; and the number of tests performed: for all remaining countries; for Belgium and Ireland units are labeled as unclear.…”

Section: Methodsmentioning

confidence: 99%

Pareto-based evaluation of national responses to COVID-19 pandemic shows that saving lives and protecting economy are non-trade-off objectives

Kochańczyk

Lipniacki

2021

Sci Rep

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Countries worldwide have adopted various strategies to minimize the socio-economic impact of the ongoing COVID-19 pandemic. Stringency of imposed measures universally reflects the standpoint from which protecting public health and avoiding damage to economy are seen as contradictory objectives. Based on epidemic trajectories of 25 highly developed countries and 10 US states in the (mobility reduction)–(reproduction number) plane we showed that delay in imposition of nation-wide quarantine elevates the number of infections and deaths, surge of which inevitably has to be suppressed by stringent and sustained lockdown. As a consequence, cumulative mobility reduction and population-normalized cumulative number of COVID-19-associated deaths are significantly correlated and this correlation increases with time. Overall, we demonstrated that, as long as epidemic suppression is the aim, the trade-off between the death toll and economic loss is illusory: high death toll correlates with deep and long-lasting lockdown causing a severe economic downturn.

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“…The frequency of the panel data is daily. The data are downloaded from the dataset of Hasell et al ( 8 ), so-called the Data on COVID-19 (Coronavirus) by Our World in Data project ( https://github.com/owid/covid-19-data/tree/master/public/data ).…”

Section: Data and Club Convergence Methodsologymentioning

confidence: 99%

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

Tian

2021

Front. Public Health

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This study tests the validity of the club convergence clustering hypothesis in the G20 countries using four measures of the spread of the COVID-19 pandemic: total number of confirmed cases per million people, new cases per million people, total deaths per million people, and new deaths per million people. The empirical analysis is based on the daily data from March 1, 2020, to October 10, 2020. The results indicate three clusters for the per capita income, two clusters for total cases per million people, and new cases per million people. Besides, there are only one and two clusters for total deaths per million people and new deaths per million people. Potential policy implications are also discussed in detail.

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A cross-country database of COVID-19 testing

Cited by 512 publications

References 5 publications

Association of COVID-19 spread with on-demand testing

Association of COVID-19 spread with on-demand testing

Pareto-based evaluation of national responses to COVID-19 pandemic shows that saving lives and protecting economy are non-trade-off objectives

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

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