Surface and satellite observations of air pollution in India during COVID-19 lockdown: Implication to air quality [0.03%]
新冠疫情封锁期间印度空气质量的地基与卫星观测及其对空气质量的启示
Yogesh Sathe,Pawan Gupta,Moqtik Bawase et al.
Yogesh Sathe et al.
The strict nationwide lockdown imposed in India starting from 25th March 2020 to prevent the spread of COVID-19 disease reduced the mobility and interrupted several important anthropogenic emission sources thereby creating a temporary air q...
Uncovering people's mask-saving intentions and behaviors in the post-COVID-19 period: Evidence from China [0.03%]
后疫情时代中国民众的口罩保存意愿与行为研究
Hongyun Si,Lin Shen,Wenchao Liu et al.
Hongyun Si et al.
The COVID-19 pandemic has caused a surge in the demand for medical masks over the past few months. Many countries and regions have experienced a shortage of masks and raw materials, as well as soaring prices. Understanding mask-saving behav...
Sociodemographic determinants of COVID-19 incidence rates in Oman: Geospatial modelling using multiscale geographically weighted regression (MGWR) [0.03%]
运用多尺度地理加权回归模型分析新冠肺炎疫情在阿曼的时空分布及社会人口影响因素分析
Shawky Mansour,Abdullah Al Kindi,Alkhattab Al-Said et al.
Shawky Mansour et al.
The current COVID-19 pandemic is evolving rapidly into one of the most devastating public health crises in recent history. By mid-July 2020, reported cases exceeded 13 million worldwide, with at least 575,000 deaths and 7.33 million people ...
Impact of the COVID-19 pandemic on travel behavior in Istanbul: A panel data analysis [0.03%]
COVID-19疫情对伊斯坦布尔旅行行为的影响：基于面板数据的分析
Shahin Shakibaei,Gerard C de Jong,Pelin Alpkökin et al.
Shahin Shakibaei et al.
The COVID-19 pandemic, which was reported in early January 2020 in China and spread rapidly around the globe, will certainly remain as one of the most impactful disruptive events of the 21st century. To contain the spread of the virus while...
Presence and mobility of the population during the first wave of Covid-19 outbreak and lockdown in Italy [0.03%]
意大利疫情爆发初期的人口分布与出行规律分析研究报告
Paolo Beria,Vardhman Lunkar
Paolo Beria
The non-medical policies implemented by many countries to "flatten the curve" during the COVID-19 outbreak has people stranded in their homes and some, out of their homes unable to return due to the disruptions in the mobility network. The ...
Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection [0.03%]
基于YOLO-V2与ResNet-50的医疗口罩检测模型对抗新冠疫情
Mohamed Loey,Gunasekaran Manogaran,Mohamed Hamed N Taha et al.
Mohamed Loey et al.
Deep learning has shown tremendous potential in many real-life applications in different domains. One of these potentials is object detection. Recent object detection which is based on deep learning models has achieved promising results con...
Towards the sustainable development of smart cities through mass video surveillance: A response to the COVID-19 pandemic [0.03%]
面向新冠疫情的大规模视频监控对智慧城市的可持续发展的影响研究
Mohammad Shorfuzzaman,M Shamim Hossain,Mohammed F Alhamid
Mohammad Shorfuzzaman
Sustainable smart city initiatives around the world have recently had great impact on the lives of citizens and brought significant changes to society. More precisely, data-driven smart applications that efficiently manage sparse resources ...
A city cluster risk-based approach for Sars-CoV-2 and isolation barriers based on anonymized mobile phone users' location data [0.03%]
基于匿名手机用户位置数据的新冠状病毒城市集群风险防控及隔离措施研究
Julio Cezar Soares Silva,Diogo Ferreira de Lima Silva,Afonso de Sá Delgado Neto et al.
Julio Cezar Soares Silva et al.
Given the recent outbreak of Sars-CoV-2, several countries started to seek different strategies to control contamination and minimize fatalities, which are usually the primary objectives for all strategies. Secondary objectives are related ...
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey [0.03%]
深度学习和医学图像处理在冠状病毒(COVID-19)大流行中的应用：综述
Sweta Bhattacharya,Praveen Kumar Reddy Maddikunta,Quoc-Viet Pham et al.
Sweta Bhattacharya et al.
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many death cases and affected all sectors of human life. With gradual progression of time, COVID-19 was declared by the world health organization (WHO) as an outbre...
Living environment matters: Unravelling the spatial clustering of COVID-19 hotspots in Kolkata megacity, India [0.03%]
人居环境影响甚大：以印度加尔各答特大城市为例分析COVID-19疫情热点的空间聚集性
Arijit Das,Sasanka Ghosh,Kalikinkar Das et al.
Arijit Das et al.
The emergence of COVID-19 has brought a serious global public health threats especially for most of the cities across the world even in India more than 50 % of the total cases were reported from large ten cities. Kolkata Megacity became one...