CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization DOI Open Access
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah

et al.

Computers in Biology and Medicine, Journal Year: 2020, Volume and Issue: 122, P. 103869 - 103869

Published: June 20, 2020

Language: Английский

Association between ambient temperature and COVID-19 infection in 122 cities from China DOI Open Access
Jingui Xie, Yongjian Zhu

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 724, P. 138201 - 138201

Published: March 30, 2020

Language: Английский

Citations

832

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review DOI Open Access
Samuel Lalmuanawma, Jamal Hussain,

Lalrinfela Chhakchhuak

et al.

Chaos Solitons & Fractals, Journal Year: 2020, Volume and Issue: 139, P. 110059 - 110059

Published: June 25, 2020

Language: Английский

Citations

810

COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data DOI Creative Commons
Wasim Ahmed, Josep Vidal‐Alaball, Joseph Downing

et al.

Journal of Medical Internet Research, Journal Year: 2020, Volume and Issue: 22(5), P. e19458 - e19458

Published: April 25, 2020

Background Since the beginning of December 2019, coronavirus disease (COVID-19) has spread rapidly around world, which led to increased discussions across online platforms. These conversations have also included various conspiracies shared by social media users. Amongst them, a popular theory linked 5G COVID-19, leading misinformation and burning towers in United Kingdom. The understanding drivers fake news quick policies oriented isolate rebate are keys combating it. Objective aim this study is develop an COVID-19 conspiracy strategies deal with such misinformation. Methods This paper performs network analysis content Twitter data from 7-day period (Friday, March 27, 2020, Saturday, April 4, 2020) #5GCoronavirus hashtag was trending on Influential users were analyzed through graph clusters. size nodes ranked their betweenness centrality score, graph’s vertices grouped cluster using Clauset-Newman-Moore algorithm. topics web sources used examined. Results Social identified that two largest structures consisted isolates group broadcast group. revealed there lack authority figure who actively Content that, 233 sample tweets, 34.8% (n=81) contained views linked, 32.2% (n=75) denounced theory, 33.0% (n=77) general tweets not expressing any personal or opinions. Thus, 65.2% (n=152) derived nonconspiracy supporters, suggests although topic attracted high volume, only handful genuinely believed conspiracy. shows websites most source users; although, YouTube videos shared. account whose sole Twitter. Conclusions combination targeted interventions delegitimize information key reducing impact. Those voicing against link baiting, sharing humorous inadvertently raised profile topic, suggesting policymakers should insist efforts isolating opinions based news. Many platforms provide ability report inappropriate content, be used. first analyze context offering practical guidance health authorities how, pandemic, rumors may combated future.

Language: Английский

Citations

762

A preliminary assessment of the impact of COVID-19 on environment – A case study of China DOI Open Access
Qiang Wang, Min Su

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 728, P. 138915 - 138915

Published: April 22, 2020

Language: Английский

Citations

749

A critical analysis of the impacts of COVID-19 on the global economy and ecosystems and opportunities for circular economy strategies DOI Open Access
Taofeeq Ibn‐Mohammed, K.B. Mustapha, Janet Godsell

et al.

Resources Conservation and Recycling, Journal Year: 2020, Volume and Issue: 164, P. 105169 - 105169

Published: Sept. 21, 2020

Language: Английский

Citations

748

Physiotherapy management for COVID-19 in the acute hospital setting: clinical practice recommendations DOI Creative Commons
Peter Thomas, Claire Baldwin, Bernie Bissett

et al.

Journal of physiotherapy, Journal Year: 2020, Volume and Issue: 66(2), P. 73 - 82

Published: March 30, 2020

This document outlines recommendations for physiotherapy management COVID-19 in the acute hospital setting. It includes: workforce planning and preparation; a screening tool determining requirement physiotherapy; selection of treatments personal protective equipment. is intended use by physiotherapists other relevant stakeholders care setting caring adult patients with confirmed or suspected COVID-19.

Language: Английский

Citations

692

Prevalence and severity of corona virus disease 2019 (COVID-19): A systematic review and meta-analysis DOI Open Access
Yong Hu, Jiazhong Sun, Zhe Dai

et al.

Journal of Clinical Virology, Journal Year: 2020, Volume and Issue: 127, P. 104371 - 104371

Published: April 14, 2020

Language: Английский

Citations

692

Coronavirus (COVID-19) — An epidemic or pandemic for financial markets DOI Open Access
Mohsin Ali, Nafis Alam, Syed Aun R. Rizvi

et al.

Journal of Behavioral and Experimental Finance, Journal Year: 2020, Volume and Issue: 27, P. 100341 - 100341

Published: May 16, 2020

Language: Английский

Citations

668

SARS-CoV-2 detection, viral load and infectivity over the course of an infection DOI Creative Commons
Kieran Walsh, Karen Jordan, Barbara Clyne

et al.

Journal of Infection, Journal Year: 2020, Volume and Issue: 81(3), P. 357 - 371

Published: June 29, 2020

Language: Английский

Citations

653

Fake news and COVID-19: modelling the predictors of fake news sharing among social media users DOI Open Access
Oberiri Destiny Apuke, Bahiyah Omar

Telematics and Informatics, Journal Year: 2020, Volume and Issue: 56, P. 101475 - 101475

Published: July 29, 2020

Language: Английский

Citations

625