Lack of COVID-19 transmission on an international flight

Schwartz, Kevin L; Murti, Michelle; Finkelstein, Michael; Leis, Jerome A; Fitzgerald-Husek, Alanna; Bourns, Laura; Meghani, Hamidah; Saunders, Andrea; Allen, Vanessa; Yaffe, Barbara

doi:10.1503/cmaj.75015

Cited by 85 publications

(79 citation statements)

References 4 publications

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“…4 Perform training test. Sources: our elaborations with NN designer analyses on the relationship between air pollution levels and the COVID-19 epidemic (Bianchi and Cibella 2020;Cheng et al 2020;Conticini et al 2020;Magazzino et al 2020b;Schwartz et al 2020). Particular attention is paid to the potential effects of fine particulate matter, the spread of the epidemic, and the prognosis of respiratory infections.…”

Section: Resultsmentioning

confidence: 99%

Pollution, economic growth, and COVID-19 deaths in India: a machine learning evidence

Mele

Magazzino

2020

Environ Sci Pollut Res

132

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This study uses two different approaches to explore the relationship between pollution emissions, economic growth, and COVID-19 deaths in India. Using a time series approach and annual data for the years from 1980 to 2018, stationarity and Toda-Yamamoto causality tests were performed. The results highlight unidirectional causality between economic growth and pollution. Then, a D2C algorithm on proportion-based causality is applied, implementing the Oryx 2.0.8 protocol in Apache. The underlying hypothesis is that a predetermined pollution concentration, caused by economic growth, could foster COVID-19 by making the respiratory system more susceptible to infection. We use data (from January 29 to May 18, 2020) on confirmed deaths (total and daily) and air pollution concentration levels for 25 major Indian cities. We verify a ML causal link between PM 2.5 , CO 2 , NO 2 , and COVID-19 deaths. The implications require careful policy design.

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Section: Resultsmentioning

confidence: 99%

Pollution, economic growth, and COVID-19 deaths in India: a machine learning evidence

Mele

Magazzino

2020

Environ Sci Pollut Res

132

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“…At the present time, many scholars are focusing on the large proportion of COVID-19 patients who exhibit mild symptoms or are asymptomatic carriers, reflecting the seriousness of the nature of viral transmission (43). Cluster 2, contains 6 keywords, mainly focusing on emergency, infection, management, medical carers, prevention and control, which are supported by the others, demonstrating the critically importance of COVID-19 in such outbreak (45), transmission (46) and disease control and management (47). Cluster 3 is focusing on TCM or Chinese and Western treatment for COVID-19, mainly to explore the benefit of the combination of TCM and classical Western management approaches, especially aiming to provide the guidelines for relatively remote/rural regions of China.…”

Section: Discussionmentioning

confidence: 99%

Bibliometric Analysis on COVID-19: A Comparison of Research Between English and Chinese Studies

Fan

Gao

Zhao

et al. 2020

Front. Public Health

110

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Background: As an emerging infectious disease, COVID-19 has garnered great research interest. We aimed to explore the differences between English language and Chinese language Medical/Scientific journals publications, particularly aiming to explore the efficacy/contents of the literature published in English and Chinese in relation to the outcomes of management and characterization of COVID-19 during the early stage of COVID-19 pandemic. Methods: Publications on COVID-19 research were retrieved from both English and Chinese databases. Bibliometric analyses were performed using VOSviewer 1.6.14, and CiteSpace V software. Network maps were generated to evaluate the collaborations between different authors, countries/provinces, and institutions. Results: A total of 143 English and 721 Chinese original research articles and reviews on COVID-19 were included in our study. Most of the authors and institutions of the papers were from China before March 1st, 2020, however, the distribution of authors and institutions were mainly in developed countries or more wealthy areas of China. The range of the keywords in English publications was more extensive than those in Chinese. Traditional Chinese Medicine was seen more frequently in Chinese papers than in English. Of the 143 articles published in English, 54 articles were published by Chinese authors only and 21 articles were published jointly by Chinese and other overseas authors. Conclusions: The publications in English have enabled medical practitioners and scientists to share/exchange information, while on the other hand, the publications in the Chinese language have provided complementary educational approaches for the local medical practitioners to understand the essential and key information to manage COVID-19 in the relatively remote regions of China, for the general population with a general level of education.

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“…Two recent studies where air sampling was performed next to a patient with a high COVID-19 viral load in their nasopharyingeal and throat swabs assessed that SARS-CoV-2 cannot be detected in the air at a distance of 10 cm or more from the patient's chin with or without wearing a surgical mask, even considering environmental contamination [22,23]. Another study on long distance flights demonstrated that there is no current evidence regarding airborne transmission, supporting the droplet mechanisms instead as the main route of the COVID-19 spread [24]. However, a similar study by researchers in Nebraska found viral RNA in nearly two-thirds of air samples collected in isolation rooms in a hospital treating people with severe COVID-19 and in a quarantine facility housing those with mild infections.…”

Section: Transmission Routesmentioning

confidence: 99%

Dentistry during the COVID-19 Epidemic: An Italian Workflow for the Management of Dental Practice

Peditto

Scapellato

Marcianó

et al. 2020

IJERPH

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Lack of COVID-19 transmission on an international flight

Cited by 85 publications

References 4 publications

Pollution, economic growth, and COVID-19 deaths in India: a machine learning evidence

Pollution, economic growth, and COVID-19 deaths in India: a machine learning evidence

Bibliometric Analysis on COVID-19: A Comparison of Research Between English and Chinese Studies

Dentistry during the COVID-19 Epidemic: An Italian Workflow for the Management of Dental Practice

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