Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
COVID-19 has produced a global pandemic affecting all over of the world. Prediction of the
rate of COVID-19 spread and modeling of its course have critical impact on both health …
rate of COVID-19 spread and modeling of its course have critical impact on both health …
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review
Objective To summarize how artificial intelligence (AI) is being applied in COVID-19
research and determine whether these AI applications integrated heterogenous data from …
research and determine whether these AI applications integrated heterogenous data from …
A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models
This study aims to develop an assumption-free data-driven model to accurately forecast
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the …
Public awareness about coronavirus vaccine, vaccine acceptance, and hesitancy
MO Elgendy, MEA Abdelrahim - Journal of medical virology, 2021 - Wiley Online Library
Measurement of the population's general knowledge of the coronavirus vaccine is very
important to improve public acceptance and decrease vaccine hesitancy in confronting the …
important to improve public acceptance and decrease vaccine hesitancy in confronting the …
Effect of mutation and vaccination on spread, severity, and mortality of COVID‐19 disease
Abstract Coronavirus disease 2019 (COVID‐19) has had different waves within the same
country. The spread rate and severity showed different properties within the COVID‐19 …
country. The spread rate and severity showed different properties within the COVID‐19 …
Twitter social mobility data reveal demographic variations in social distancing practices during the COVID-19 pandemic
The COVID-19 pandemic demonstrated the importance of social distancing practices to stem
the spread of the virus. However, compliance with public health guidelines was mixed …
the spread of the virus. However, compliance with public health guidelines was mixed …
Self-attention-based deep learning network for regional influenza forecasting
Early prediction of influenza plays an important role in minimizing the damage caused, as it
provides the resources and time needed to formulate preventive measures. Compared to …
provides the resources and time needed to formulate preventive measures. Compared to …
Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022
G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …
and manage the virus impact. Scientists and researchers have been strongly involved in …
Role of repeating quarantine instructions and healthy practices on COVID‐19 patients and contacted persons to raise their awareness and adherence to quarantine …
MO Elgendy, MA Abdelrahman… - … journal of clinical …, 2021 - Wiley Online Library
Objective This study aimed to develop a model evaluating the role of repeating quarantine
instructions and healthy practices among COVID‐19 patients and contact persons at‐home …
instructions and healthy practices among COVID‐19 patients and contact persons at‐home …
[PDF][PDF] A bibliometric analysis of coronavirus disease (COVID-19) mortality rate
Husnul Khuluq 1*, Prasandhya Astagiri Yusuf 2, Dyah Aryani Perwitasari 3 Background:
Coronavirus disease 2019 (COVID-19) has had a profound global effect on mortality rates …
Coronavirus disease 2019 (COVID-19) has had a profound global effect on mortality rates …