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The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned?论文
International Journal of Epidemiology2020引用: 1.7K
COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach论文
Sustainable Cities and Society2020引用: 314
Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic论文
The Science of The Total Environment2020引用: 330
Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study论文
Chaos Solitons & Fractals2020引用: 267
Peer-to-Peer Contact Tracing: Development of a Privacy-Preserving Smartphone App论文
JMIR mhealth and uhealth2020引用: 235
Forecasting of COVID19 per regions using ARIMA models and polynomial functions论文
Applied Soft Computing2020引用: 228
Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data论文
The Lancet Digital Health2020引用: 319
Predicting COVID-19 in China Using Hybrid AI Model论文
IEEE Transactions on Cybernetics2020引用: 321
Spatial transmission of COVID-19 via public and private transportation in China论文
Travel Medicine and Infectious Disease2020引用: 259
Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics论文
Chaos Solitons & Fractals2020引用: 337
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak论文
Dialnet (Universidad de la Rioja)2020引用: 229
Movement control as an effective measure against Covid-19 spread in Malaysia: an overview论文
Journal of Public Health2020引用: 230
Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron论文
Computational and Mathematical Methods in Medicine2020引用: 219
Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic论文
Scientific Reports2020引用: 243
Digital contact tracing technologies in epidemics: a rapid review