Flight of the COVID-19 patient: experience with a Wuhan evacuee: a case report

Segar, Sandeep; Bouland, Daniel; Torriani, Francesca J.; Kwak, Kevin; Asudani, Deepak; Taplitz, Randy; Gupta, Vineet

doi:10.1186/s13256-020-02396-8

Cited by 3 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The longest duration for RT-PCR positivity was 15 days. In several other studies, the median duration from symptom onset to virus detection was 14.5 days in upper respiratory tract samples [ 22 , 23 ]. In lower respiratory tract samples, the median duration for virus detection from the onset of symptoms at the aggregated study level was 15.5 days [ 24 , 25 ].…”

Section: Discussionmentioning

confidence: 97%

Evaluation of Rapid Antigen Test as a Marker of SARS-CoV-2 Infectivity

Arya¹,

Garg²,

Pal³

et al. 2023

Cureus

View full text Add to dashboard Cite

Background Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that emerged in late 2019 continues to spread globally. Reverse transcriptase polymerase chain reaction (RT-PCR), which is considered the gold standard for diagnosis, does not always indicate contagiousness. This study was planned to evaluate the performance of the rapid antigen test (RAT) with the duration of symptoms and the usefulness of these tests in determining the infectivity of patients by performing sub-genomic RT-PCR. Methodology This prospective, observational study was designed to compare the diagnostic value of the COVID-19 RAT (SD Biosensor, Korea) with COVID-19 RT-PCR (Thermo Fisher, USA) by serial testing of patients. To evaluate the infectivity of the virus, sub-genomic RT-PCR was performed on previous RAT and RT-PCR-positive samples. Results Of 200 patients, 102 were positive on both RT-PCR and RAT, with 87 patients serially followed and tested. The sensitivity and specificity of RAT were 92.73% and 93.33%, respectively, in symptomatic patients. The mean duration of RAT positivity was 9.1 days, and the mean duration of RT-PCR positivity was 12.6 days. Sub-genomic RT-PCR test was performed on samples that were reported to be positive by RAT, and 73/87 (83.9%) patients were found to be positive. RAT was positive in symptomatic patients whose duration of illness was less than 10 days or those with a cycle threshold value below 32. Conclusions Thus, RAT can be used as the marker of infectivity of SARS-CoV-2 in symptomatic patients, especially in healthcare workers.

show abstract

Section: Discussionmentioning

confidence: 97%

Evaluation of Rapid Antigen Test as a Marker of SARS-CoV-2 Infectivity

Arya¹,

Garg²,

Pal³

et al. 2023

Cureus

View full text Add to dashboard Cite

show abstract

“…Reeves et al in JAMIA were the first group to publish a description of healthcare informatics supporting a rapid COVID-19 response at a health system [19]. Clinicians from the University of California, San Diego (USA) treated some of the earliest cases in the USA, including patients evacuated from Wuhan, China on February 7, 2020 [47]. Anticipating further infections, Reeves et al detail the rapid configuration of EHR-based tools to support outbreak management.…”

Section: Clinical Informatics To Support the Covid-19 Response Within Health Systemsmentioning

confidence: 99%

The Clinical Information Systems Response to the COVID-19 Pandemic

et al. 2021

View full text Add to dashboard Cite

Summary Objective: The year 2020 was predominated by the coronavirus disease 2019 (COVID-19) pandemic. The objective of this article is to review the areas in which clinical information systems (CIS) can be and have been utilized to support and enhance the response of healthcare systems to pandemics, focusing on COVID-19. Methods: PubMed/MEDLINE, Google Scholar, the tables of contents of major informatics journals, and the bibliographies of articles were searched for studies pertaining to CIS, pandemics, and COVID-19 through October 2020. The most informative and detailed studies were highlighted, while many others were referenced. Results: CIS were heavily relied upon by health systems and governmental agencies worldwide in response to COVID-19. Technology-based screening tools were developed to assist rapid case identification and appropriate triaging. Clinical care was supported by utilizing the electronic health record (EHR) to onboard frontline providers to new protocols, offer clinical decision support, and improve systems for diagnostic testing. Telehealth became the most rapidly adopted medical trend in recent history and an essential strategy for allowing safe and effective access to medical care. Artificial intelligence and machine learning algorithms were developed to enhance screening, diagnostic imaging, and predictive analytics - though evidence of improved outcomes remains limited. Geographic information systems and big data enabled real-time dashboards vital for epidemic monitoring, hospital preparedness strategies, and health policy decision making. Digital contact tracing systems were implemented to assist a labor-intensive task with the aim of curbing transmission. Large scale data sharing, effective health information exchange, and interoperability of EHRs remain challenges for the informatics community with immense clinical and academic potential. CIS must be used in combination with engaged stakeholders and operational change management in order to meaningfully improve patient outcomes. Conclusion: Managing a pandemic requires widespread, timely, and effective distribution of reliable information. In the past year, CIS and informaticists made prominent and influential contributions in the global response to the COVID-19 pandemic.

show abstract

“…To our knowledge, the current literature on in-flight wild-type SARS-CoV-2 transmission largely consists of reports focusing on one or a few flights where transmission of SARS-CoV-2 has been suggested [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. Only 3 studies were published that specifically reported the absence of transmission [12,14,21].…”

Section: Introductionmentioning

confidence: 99%

Attack Rate for Wild-Type SARS-CoV-2 during Air Travel: Results from 46 Flights Traced by German Health Authorities, January–March and June–August 2020

Moek

Rohde

Schöll

et al. 2022

Canadian Journal of Infectious Diseases and Medical Microbiolog

View full text Add to dashboard Cite

Background. Evidence on the risk of SARS-CoV-2 transmission during air travel is scarce. We aimed to estimate the attack rate for wild-type SARS-CoV-2 to improve the evidence base for the adaptation of nonpharmaceutical intervention (NPI) strategies aboard airplanes. Methods. In collaboration with German Public Health Authorities (PHA), we conducted a follow-up of in-flight SARS-CoV-2 contact persons. We included those contact persons whom the Emergency Operations Centre at the Robert Koch-Institute had forwarded to PHA between January to March 2020 (before masking on flights became mandatory) and June to August 2020 (after the introduction of mandatory masking). We retrospectively collected data on whether these contact persons had been successfully contacted, had become symptomatic and had been tested for SARS-CoV-2, and whether alternative exposures other than the flight were known. Results. Complete data that allowed for the calculation of attack rates were available for 108 contact persons (median age of 36 (IQR 24–53), 40% female), traveling on 46 flights with a median flight duration of 3 hours (IQR 2–3.5). 62 of these persons travelled after masking on flights became mandatory. 13/87 developed symptoms, 44/77 were tested (no data for 21 and 31). 13 persons (9 of whom had been SARS-CoV-2 positive) were excluded from the analysis of attack rates due to a likely alternative exposure. We thus identified 4 probable in-flight transmissions (2 of which occurred after the introduction of mandatory masking). The overall attack rate resulted in 4.2% (4/95; 95% CI: 1.4%–11.0%). Considering flights after mandatory masking, the attack rate was 3.6% (2/56, 95% CI 0.6%–13.4%), before masking 5.1% (2/39, 95% CI 0.9%–18.6%). Conclusions. The risk of wild-type SARS-CoV-2 transmission during air travel seemed low, but not negligible. In order to formulate an effective, evidence-based NPI protocol for air travel, further studies considering the different transmissibility of SARS-CoV-2 variants of concern and vaccination status are needed.

show abstract

Flight of the COVID-19 patient: experience with a Wuhan evacuee: a case report

Cited by 3 publications

References 9 publications

Evaluation of Rapid Antigen Test as a Marker of SARS-CoV-2 Infectivity

Evaluation of Rapid Antigen Test as a Marker of SARS-CoV-2 Infectivity

The Clinical Information Systems Response to the COVID-19 Pandemic

Attack Rate for Wild-Type SARS-CoV-2 during Air Travel: Results from 46 Flights Traced by German Health Authorities, January–March and June–August 2020

Contact Info

Product

Resources

About