Spatio-temporal patterns of the COVID-19 pandemic, and place-based influential factors at the neighborhood scale in Tehran [0.03%]
新冠疫情的时空模式以及德黑兰社区尺度上基于位置的影响因素
Azadeh Lak,Ayyoob Sharifi,Siamak Badr et al.
Azadeh Lak et al.
Since its emergence in late 2019, the COVID-19 pandemic has attracted the attention of researchers in various fields, including urban planning and design. However, the spreading patterns of the disease in cities are still not clear. Histori...
Public health in times of crisis: An overlooked variable in city management theories? [0.03%]
危机时期的城市公共卫生：城市管理体系中被忽略的变量？
Celso Machado,Daielly Melina Nassif Mantovani Ribeiro,Adriana Backx Noronha Viana
Celso Machado
The volume of research that associates the theme of city management with crises resulting from emerging infectious disease is modest, even after the occurrences of Ebola and Severe Acute Respiratory Syndrome. Similarly, the Coronavirus dise...
Fake news detection for epidemic emergencies via deep correlations between text and images [0.03%]
通过文本和图像之间的深度关联检测疫情紧急情况下的虚假新闻
Jiangfeng Zeng,Yin Zhang,Xiao Ma
Jiangfeng Zeng
In recent years, major emergencies have occurred frequently all over the world. When a major global public heath emergency like COVID-19 broke out, an increasing number of fake news in social media networks are exposed to the public. Automa...
Tourism research after the COVID-19 outbreak: Insights for more sustainable, local and smart cities [0.03%]
COVID-19爆发后的旅游研究：对更可持续、地方化和智能化城市的启示
Luis-Alberto Casado-Aranda,Juan Sánchez-Fernández,Ana-Belén Bastidas-Manzano
Luis-Alberto Casado-Aranda
This paper presents the results of a bibliometric analysis of academic research dealing with COVID-19 in the area of city destination development from 1 December 2019 to 31 March 2021. Particularly, by means of SciMAT software, it identifie...
Impact of COVID-19 on Urban Energy Consumption of Commercial Tourism City [0.03%]
COVID-19对商业旅游城市能源消耗的影响
Dongdong Zhang,Hongyi Li,Hongyu Zhu et al.
Dongdong Zhang et al.
In 2020, the COVID-19 pandemic has spread worldwide. To alleviate this spread, various blockade policies have been implemented in many areas. This has led to a sluggish demand in the world's major economies, sharp drop in the trade index, a...
Urban and social vulnerability assessment in the built environment: An interdisciplinary index-methodology towards feasible planning and policy-making under a crisis context [0.03%]
建成环境中城乡和社会脆弱性评价：危机背景下可行规划和政策制定的跨学科指数-方法论
Pilar Mercader-Moyano,Oswaldo Morat,Antonio Serrano-Jiménez
Pilar Mercader-Moyano
The current global crisis on Covid-19 has an adverse impact on urban regeneration of the built environment in emerging countries, with a recent world GDP drop of around 4.9 % and around 20-30 % decrease in economic funds intended for renova...
Air quality changes in a Central European city during COVID-19 lockdown [0.03%]
COVID-19封城期间中欧城市空气质量的变化
Bernard Polednik
Bernard Polednik
A comparison of mobile and stationary air quality measurements in Lublin, Poland during the COVID-19 lockdown in 2020 and in a comparable period in 2017 has demonstrated that a substantial decrease of the traffic intensity by more than 50%,...
Sajjad Shokouhyar,Sina Shokoohyar,Anae Sobhani et al.
Sajjad Shokouhyar et al.
This study is aimed at exploring the challenges and opportunities that the COVID-19 outbreak presents to the sustainability of shared mobility. To date, the sustainability of shared mobility has received little attention in the literature, ...
ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A system of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence [0.03%]
基于移动电话定位数据识别嫌疑人和预测传染病的传播（COUNTERACT）：一个利用物联网、边缘计算和人工智能来确定COVID-19感染及危险地点，检测疾病爆发的系统
Hemant Ghayvat,Muhammad Awais,Prosanta Gope et al.
Hemant Ghayvat et al.
Human movement is a significant factor in extensive spatial-transmission models of contagious viruses. The proposed COUNTERACT system recognizes infectious sites by retrieving location data from a mobile phone device linked with a particula...
Leveraging artificial intelligence to analyze the COVID-19 distribution pattern based on socio-economic determinants [0.03%]
利用人工智能根据社会经济因素分析COVID-19的分布模式
Mohammadhossein Ghahramani,Francesco Pilla
Mohammadhossein Ghahramani
The spatialization of socioeconomic data can be used and integrated with other sources of information to reveal valuable insights. Such data can be utilized to infer different variations, such as the dynamics of city dwellers and their spat...