Your browser doesn't support javascript.
Routine asymptomatic testing strategies for airline travel during the COVID-19 pandemic: a simulation study.
Kiang, Mathew V; Chin, Elizabeth T; Huynh, Benjamin Q; Chapman, Lloyd A C; Rodríguez-Barraquer, Isabel; Greenhouse, Bryan; Rutherford, George W; Bibbins-Domingo, Kirsten; Havlir, Diane; Basu, Sanjay; Lo, Nathan C.
  • Kiang MV; Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
  • Chin ET; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Huynh BQ; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Chapman LAC; Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Rodríguez-Barraquer I; Department of Medicine, University of California San Francisco, San Francisco, CA, USA; Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Greenhouse B; Department of Medicine, University of California San Francisco, San Francisco, CA, USA; Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Rutherford GW; Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • Bibbins-Domingo K; Department of Medicine, University of California San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • Havlir D; Department of Medicine, University of California San Francisco, San Francisco, CA, USA; Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Basu S; Center for Primary Care, Harvard Medical School, Boston, MA, USA; Research and Population Health, Collective Health, San Francisco, CA, USA; School of Public Health, Imperial College, London, UK.
  • Lo NC; Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Electronic address: nathan.lo@ucsf.edu.
Lancet Infect Dis ; 21(7): 929-938, 2021 07.
Article in English | MEDLINE | ID: covidwho-1145005
ABSTRACT

BACKGROUND:

Routine viral testing strategies for SARS-CoV-2 infection might facilitate safe airline travel during the COVID-19 pandemic and mitigate global spread of the virus. However, the effectiveness of these test-and-travel strategies to reduce passenger risk of SARS-CoV-2 infection and population-level transmission remains unknown.

METHODS:

In this simulation study, we developed a microsimulation of SARS-CoV-2 transmission in a cohort of 100 000 US domestic airline travellers using publicly available data on COVID-19 clinical cases and published natural history parameters to assign individuals one of five health states of susceptible to infection, latent period, early infection, late infection, or recovered. We estimated a per-day risk of infection with SARS-CoV-2 corresponding to a daily incidence of 150 infections per 100 000 people. We assessed five testing strategies (1) anterior nasal PCR test within 3 days of departure, (2) PCR within 3 days of departure and 5 days after arrival, (3) rapid antigen test on the day of travel (assuming 90% of the sensitivity of PCR during active infection), (4) rapid antigen test on the day of travel and PCR test 5 days after arrival, and (5) PCR test 5 days after arrival. Strategies 2 and 4 included a 5-day quarantine after arrival. The travel period was defined as 3 days before travel to 2 weeks after travel. Under each scenario, individuals who tested positive before travel were not permitted to travel. The primary study outcome was cumulative number of infectious days in the cohort over the travel period without isolation or quarantine (population-level transmission risk), and the key secondary outcome was the number of infectious people detected on the day of travel (passenger risk of infection).

FINDINGS:

We estimated that in a cohort of 100 000 airline travellers, in a scenario with no testing or screening, there would be 8357 (95% uncertainty interval 6144-12831) infectious days with 649 (505-950) actively infectious passengers on the day of travel. The pre-travel PCR test reduced the number of infectious days from 8357 to 5401 (3917-8677), a reduction of 36% (29-41) compared with the base case, and identified 569 (88% [76-92]) of 649 actively infectious travellers on the day of flight; the addition of post-travel quarantine and PCR reduced the number of infectious days to 2520 days (1849-4158), a reduction of 70% (64-75) compared with the base case. The rapid antigen test on the day of travel reduced the number of infectious days to 5674 (4126-9081), a reduction of 32% (26-38) compared with the base case, and identified 560 (86% [83-89]) actively infectious travellers; the addition of post-travel quarantine and PCR reduced the number of infectious days to 3124 (2356-495), a reduction of 63% (58-66) compared with the base case. The post-travel PCR alone reduced the number of infectious days to 4851 (3714-7679), a reduction of 42% (35-49) compared with the base case.

INTERPRETATION:

Routine asymptomatic testing for SARS-CoV-2 before travel can be an effective strategy to reduce passenger risk of infection during travel, although abbreviated quarantine with post-travel testing is probably needed to reduce population-level transmission due to importation of infection when travelling from a high to low incidence setting.

FUNDING:

University of California, San Francisco.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Carrier State / Pandemics / COVID-19 Testing / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Lancet Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: S1473-3099(21)00134-1

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Carrier State / Pandemics / COVID-19 Testing / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Lancet Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: S1473-3099(21)00134-1