Impact of Pre-Event Testing and Quarantine On Reducing The Risk of COVID-19 Epidemic Rebound: A Modelling Study
| Autor: | Ngai Sze Wong, Kate M. Mitchell, Eng-Kiong Yeoh, Shui Shan Lee, Cheng Wang |
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| Rok vydání: | 2021 |
| Předmět: |
Internationality
Coronavirus disease 2019 (COVID-19) Computer science Event (relativity) Testing Infectious and parasitic diseases RC109-216 Computer security computer.software_genre Microbiology law.invention 1108 Medical Microbiology law Quarantine Humans Mathematical modelling SARS-CoV-2 Commerce COVID-19 1103 Clinical Sciences Large-scale event Infectious Diseases computer Research Article 0605 Microbiology |
| Zdroj: | BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-9 (2022) BMC Infectious Diseases |
| DOI: | 10.21203/rs.3.rs-156682/v1 |
| Popis: | Background With the evolving growth of the COVID-19 epidemic, travel restriction policies would need to be adjusted accordingly. Prohibition of mass event may be relaxed for social and economic benefits when virus transmission stops but could bear the risk of epidemic rebound. Against the background of the varied SARS-CoV-2 prevalence internationally, we modelled the potential impacts of pre-event interventions on epidemic risk of holding a mass event when COVID-19 is under control. Methods We developed a mathematical model of SARS-CoV-2 transmission in Guangdong Province, China, where local virus transmission ceased to occur. A large-scale international trade fair was assumed to be held, with influx of people from overseas and rest of China over a short period of time, who participated for 2-week. Scenarios of pre-event intervention (none, quarantine arrangement and polymerase chain reaction (PCR) testing for participants) were compared. The influence of contact pattern, SARS-CoV-2 prevalence outside the province and China, and testing coverage were examined in sensitivity analyses. Results In basecase scenario (no event), the epidemic has been under control since March 2020. The event would lead to the detection of 1% more confirmed cases by 31 July when community contact rate increases to pre-epidemic level. In event scenario without additional interventions, there would be 599 (93%) more new infections comparing with basecase scenario. To avert new infections, quarantining all participants before the event would be the most effective strategy, followed by quarantining all overseas participants and testing all other participants, and testing all participants before the event and on day 7. However, testing strategy is likely to be affected by the SARS-CoV-2 prevalence outside the event province. Conclusions Pre-event interventions are effective for reducing the risk of epidemic rebound caused by an international large-scale event. Universal testing for participants is likely to be an effective and feasible intervention. |
| Databáze: | OpenAIRE |
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