[HTML][HTML] Performance evaluation of regression models for COVID-19: A statistical and predictive perspective
Research is very important in the pandemic situation of COVID-19 to deliver a speedy
solution to this problem. COVID-19 has presented governments, corporations and ordinary …
solution to this problem. COVID-19 has presented governments, corporations and ordinary …
Sentiment analysis and prediction of polarity vaccines based on Twitter data using deep NLP techniques
The global impact of COVID-19 has been significant and several vaccines have been
developed to combat this virus. However, these vaccines have varying levels of efficacy and …
developed to combat this virus. However, these vaccines have varying levels of efficacy and …
Multivariate Forecasting Model for COVID-19 Spread Based on Possible Scenarios in Ecuador
So far, about 770.1 million confirmed cases of COVID-19 have been counted by August
2023, and around 7 million deaths have been reported from these cases to the World Health …
2023, and around 7 million deaths have been reported from these cases to the World Health …
[PDF][PDF] Predictive analysis of Covid 19 disease based on mathematical modelling and machine learning techniques
P Rajarajeswari, K Santhi… - Computer …, 2022 - salford-repository.worktribe.com
During the emergence of a novel pandemic, predictive modelling process is more important
in the phase of public health planning and response. Relating models to data provides a …
in the phase of public health planning and response. Relating models to data provides a …
Computational modelling of COVID-19: A study of compliance and superspreaders
Background The success of social distancing implementations of severe acute respiratory
syndrome coronavirus 2 (SARS-Cov-2) depends heavily on population compliance …
syndrome coronavirus 2 (SARS-Cov-2) depends heavily on population compliance …