Russell, TW, Wu, JT, Clifford, S, CMMID COVID-19 working group, Edmunds, WJ, Kucharski, AJ and Jit, M. 2020. thimotei/covid_travel_restrictions. [Online]. Github. Available from: https://github.com/thimotei/covid_travel_restrictions
Russell, TW, Wu, JT, Clifford, S, CMMID COVID-19 working group, Edmunds, WJ, Kucharski, AJ and Jit, M. thimotei/covid_travel_restrictions [Internet]. Github; 2020. Available from: https://github.com/thimotei/covid_travel_restrictions
Russell, TW, Wu, JT, Clifford, S, CMMID COVID-19 working group, Edmunds, WJ, Kucharski, AJ and Jit, M (2020). thimotei/covid_travel_restrictions. [Data Collection]. Github. https://github.com/thimotei/covid_travel_restrictions
Description
Countries have restricted international arrivals to delay the spread of COVID-19. These measures carry a high economic and social cost. They may have little impact on COVID-19 epidemics if there are many more cases resulting from local transmission compared to imported cases. To inform decisions about international travel restrictions, we compared the ratio
of expected COVID-19 cases from international travel (assuming no travel restrictions) to the expected COVID-19 cases arising from internal spread on an average day in May 2020 in each country. COVID-19 prevalence and incidence were estimated using a modelling framework that adjusts reported cases for under-ascertainment and asymptomatic infections. The data used in this analysis is publicly available case and death time series data, available from the European Centre for Disease Control 10. The code used for the analysis in this paper
is available online (https://github.com/thimotei/covid_travel_restrictions), as is the code used to produce under-reporting estimates, which form the basis for the country-specific prevalence and incidence estimates (https://github.com/thimotei/covid_underreporting)
Keywords
Data capture method | Aggregation |
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Date (Date published in a 3rd party system) | 7 July 2020 |
Language(s) of written materials | English |
Data Creators | Russell, TW, Wu, JT, Clifford, S, CMMID COVID-19 working group, Edmunds, WJ, Kucharski, AJ and Jit, M |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, School of Public Health, The University of Hong Kong, Hong Kong |
Funders |
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Date Deposited | 24 Jul 2020 11:55 |
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Last Modified | 08 Jul 2021 12:52 |
Publisher | Github |