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COVID answers in Scientific Journals all over the world

Publishing House: Tsinghua University Press
  original article Journal Date Title Authors All Authors
1 [GO] Big Data Mining and Analytics 2021―Aug―26 Coronavirus pandemic analysis through tripartite graph clustering in online social networks Xueting Liao, Danyang Zheng, Xiaojun Cao
2 [GO] Brain Science Advances 2021―Jul―19 Comorbidity of purulent meningitis with COVID-19: A case report Ping Zhang, Chao Pan, Jiahui Wang, Yang Ma, Huaqiu Zhang, Zhouping Tang
3 [GO] Tsinghua Science & Technology 2021―Apr―21 Collaborative city digital twin for the COVID-19 pandemic: A federated learning solution Junjie Pang, Yan Huang, Zhenzhen Xie, Jianbo Li, Zhipeng Cai
4 [GO] Brain Science Advances 2021―Mar―01 Neurological diseases caused by coronavirus infection of the respiratory airways Waqas Ahmed, Adeel Khan, Wish Hal Sundar, Humaira Naseem, Wanghao Chen, Jia Feng, et al. (+2)
5 [GO] Big Data Mining and Analytics 2021―Feb―02 Prediction of COVID-19 confirmed, death, and cured cases in India using random forest model Vishan Kumar Gupta, Avdhesh Gupta, Dinesh Kumar, Anjali Sardana
6 [GO] Big Data Mining and Analytics 2021―Feb―02 Diagnosis of COVID-19 from chest X-ray images using wavelets-based depthwise convolution network Krishna Kant Singh, Akansha Singh
7 [GO] Big Data Mining and Analytics 2021―Feb―02 Analysis and predictions of spread, recovery, and death caused by COVID-19 in India Rajani Kumari, Sandeep Kumar, Ramesh Chandra Poonia, Vijander Singh, Linesh Raja, Vaibhav Bhatnagar, Pankaj Agarwal
8 [GO] Big Data Mining and Analytics 2021―Feb―02 Effect of E-learning on public health and environment during COVID-19 lockdown Avani Agarwal, Sahil Sharma, Vijay Kumar, Manjit Kaur
9 [GO] Big Data Mining and Analytics 2021―Feb―02 Analysis of protein-ligand interactions of SARS-CoV-2 against selective drug using deep neural networks Natarajan Yuvaraj, Kannan Srihari, Selvaraj Chandragandhi, Rajan Arshath Raja, Gaurav Dhiman, Amandeep Kaur
10 [GO] Stress and Brain 2020―Dec―23 Prevention for post-traumatic stress disorder after the COVID-19 epidemic: Lessons from the SARS epidemic Jixuan Mao, Jiajin Yuan


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