Back

Within-hotel transmission of SARS-CoV-2 during on-arrival quarantine in Hong Kong

Adam, D. C.; Martin-Sanchez, M.; Gu, H.; Wu, P.; Lau, E. H. Y.; Leung, G. M.; Poon, L. L. M.; Cowling, B. J.

2022-06-27 infectious diseases
10.1101/2022.06.25.22276894 medRxiv
Show abstract

BackgroundOn-arrival quarantine has been one of the primary measures used to prevent the introduction of COVID-19 into Hong Kong since the start of the pandemic. Most on-arrival quarantines have been done in hotels, with the duration of quarantine and testing frequency during quarantine varying throughout the pandemic for various reasons. However, hotels are not necessarily designed with infection control in mind. We aimed to study the potential risk of transmission between persons in on-arrival quarantine. MethodsWe examined data on each laboratory-confirmed COVID-19 case identified in on-arrival quarantine in a hotel in Hong Kong between 1 May 2020 and 31 January 2022. We sequenced the full genomes of viruses from cases that overlapped with other confirmed cases in terms of the hotel of stay, date of arrival and date of testing positive. A combination of epidemiological information and sequence information was then used to identify probable transmission events. FindingsAmong 221 imported cases that overlapped with other quarantined cases, phylogenetic analysis identified eight suspected clusters comprising 20 cases in total. Only three of these clusters had been recognised as hotel transmission events. InterpretationWe have identified potential occurrences of COVID-19 transmission within hotel quarantine in Hong Kong demonstrating the underlying low but non-zero risk associated with sequestering arrivals within hotels. In future pandemics, on-arrival quarantine in hotels could be used to delay the introduction of infection, but the construction of purpose-built facilities for on-arrival quarantine might be necessary to minimize importation risk. FundingHealth and Medical Research Fund, Hong Kong

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.