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N Z Med J ; 134(1529): 10-25, 2021 02 05.
Article in English | MEDLINE | ID: covidwho-1080064

ABSTRACT

AIMS: We developed a model, updated daily, to estimate undetected COVID-19 infections exiting quarantine following selectively opening New Zealand's borders to travellers from low-risk countries. METHODS: The prevalence of infectious COVID-19 cases by country was multiplied by expected monthly passenger volumes to predict the rate of arrivals. The rate of undetected infections entering the border following screening and quarantine was estimated. Level 1, Level 2 and Level 3 countries were defined as those with an active COVID-19 prevalence of up to 1/105, 10/105 and 100/105, respectively. RESULTS: With 65,272 travellers per month, the number of undetected COVID-19 infections exiting quarantine is 1 every 45, 15 and 31 months for Level 1, Level 2 and Level 3 countries, respectively. The overall rate of undetected active COVID-19 infections exiting quarantine is expected to increase from the current 0.40 to 0.50 per month, or an increase of one extra infection every 10 months. CONCLUSIONS: Loosening border restrictions results in a small increase in the rate of undetected COVID-19 infections exiting quarantine, which increases from the current baseline by one infection every 10 months. This information may be useful in guiding decision-making on selectively opening of borders in the COVID-19 era.


Subject(s)
COVID-19 , Communicable Disease Control , Communicable Diseases, Imported , Disease Transmission, Infectious , International Health Regulations , Quarantine , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/transmission , Communicable Disease Control/methods , Communicable Disease Control/organization & administration , Communicable Diseases, Imported/epidemiology , Communicable Diseases, Imported/prevention & control , Communicable Diseases, Imported/transmission , Disease Transmission, Infectious/prevention & control , Disease Transmission, Infectious/statistics & numerical data , Forecasting , Global Health , Humans , International Health Regulations/organization & administration , International Health Regulations/trends , New Zealand/epidemiology , Prevalence , Public Policy , Quarantine/organization & administration , Quarantine/statistics & numerical data , SARS-CoV-2 , Travel/legislation & jurisprudence , Travel/statistics & numerical data
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