The socio-economic implications of the coronavirus pandemic (COVID-19): A review

International Journal of Surgery, Journal Year: 2020, Volume and Issue: 78, P. 185 - 193

Published: April 16, 2020

Language: Английский

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Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement

Nature Climate Change, Journal Year: 2020, Volume and Issue: 10(7), P. 647 - 653

Published: May 19, 2020

Language: Английский

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Artificial Intelligence (AI) applications for COVID-19 pandemic

Diabetes & Metabolic Syndrome Clinical Research & Reviews, Journal Year: 2020, Volume and Issue: 14(4), P. 337 - 339

Published: April 14, 2020

Language: Английский

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Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns

Journal of Behavioral and Experimental Finance, Journal Year: 2020, Volume and Issue: 27, P. 100326 - 100326

Published: April 8, 2020

Language: Английский

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Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020

Emerging infectious diseases, Journal Year: 2020, Volume and Issue: 26(7), P. 1583 - 1591

Published: April 10, 2020

To determine distribution of severe acute respiratory syndrome coronavirus 2 in hospital wards Wuhan, China, we tested air and surface samples. Contamination was greater intensive care units than general wards. Virus widely distributed on floors, computer mice, trash cans, sickbed handrails detected ≈4 m from patients.

Language: Английский

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Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 727, P. 138704 - 138704

Published: April 15, 2020

Language: Английский

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A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact

IEEE Access, Journal Year: 2020, Volume and Issue: 8, P. 90225 - 90265

Published: Jan. 1, 2020

The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID-19 by World Health Organization (WHO), has placed numerous governments around world in a precarious position. impact outbreak, earlier witnessed citizens China alone, now become matter grave concern for virtually every country world. scarcity resources to endure combined with fear overburdened healthcare systems forced majority these countries into state partial or complete lockdown. number laboratory-confirmed coronavirus cases been increasing at an alarming rate throughout world, reportedly more than 3 million confirmed 30 April 2020. Adding woes, false reports, misinformation, and unsolicited fears regards are being circulated regularly since COVID-19. In response such acts, we draw on various reliable sources present detailed review all major aspects associated pandemic. addition direct health implications COVID-19, this study highlights its global economy. drawing things close, explore use technologies Internet Things (IoT), Unmanned Aerial Vehicles (UAVs), blockchain, Artificial Intelligence (AI), 5G, among others, help mitigate outbreak.

Language: Английский

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COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images

arXiv (Cornell University), Journal Year: 2020, Volume and Issue: unknown

Published: Jan. 1, 2020

Background and Purpose: Coronaviruses (CoV) are perilous viruses that may cause Severe Acute Respiratory Syndrome (SARS-CoV), Middle East (MERS-CoV). The novel 2019 Coronavirus disease (COVID-19) was discovered as a pneumonia in the city of Wuhan, China at end 2019. Now, it becomes outbreak around world, number infected people deaths increasing rapidly every day according to updated reports World Health Organization (WHO). Therefore, aim this article is introduce new deep learning framework; namely COVIDX-Net assist radiologists automatically diagnose COVID-19 X-ray images. Materials Methods: Due lack public datasets, study validated on 50 Chest images with 25 confirmed positive cases. includes seven different architectures convolutional neural network models, such modified Visual Geometry Group Network (VGG19) second version Google MobileNet. Each model able analyze normalized intensities image classify patient status either negative or case. Results: Experiments evaluation have been successfully done based 80-20% for training testing phases, respectively. VGG19 Dense Convolutional (DenseNet) models showed good similar performance automated classification f1-scores 0.89 0.91 normal COVID-19, Conclusions: This demonstrated useful application proposed framework. Clinical studies next milestone research work.

Language: Английский

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Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 725, P. 138436 - 138436

Published: April 4, 2020

Language: Английский

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Coronavirus Disease 19 (COVID-19): Implications for Clinical Dental Care

Journal of Endodontics, Journal Year: 2020, Volume and Issue: 46(5), P. 584 - 595

Published: April 6, 2020

The recent spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its associated disease has gripped the entire international community caused widespread public health concerns. Despite global efforts to contain spread, outbreak is still on a rise because pattern this infection. This zoonotic infection, similar other infections, that believed have originated in bats pangolins later transmitted humans. Once human body, abundantly present nasopharyngeal salivary secretions affected patients, predominantly thought be droplet/contact nature. Dental professionals, including endodontists, may encounter patients with suspected or confirmed SARS-CoV-2 infection will act diligently not only provide care but at same time prevent nosocomial Thus, aim article brief overview epidemiology, symptoms, routes transmission novel In addition, specific recommendations for dental practice are suggested patient screening, control strategies, management protocol.

Language: Английский

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