Empirical Evaluation of Alternative Time-Series Models for COVID-19 Forecasting in Saudi Arabia.

COVID-19 is a disease-causing coronavirus strain that emerged in December 2019 that led to an ongoing global pandemic. The ability to anticipate the pandemic's path is critical. This is important in order to determine how to combat and track its spread.

Word synonym relationships for text analysis: A graph-based approach.

Keyword extraction refers to the process of detecting the most relevant terms and expressions in a given text in a timely manner. In the information explosion era, keyword extraction has attracted increasing attention. The importance of keyword extraction in text summarization, text comparisons, and document categorization has led to an emphasis on graph-based keyword extraction techniques because they can capture more structural information compared to other classic text analysis methods.

COVID-19 Spread in Saudi Arabia: Modeling, Simulation and Analysis.

The novel coronavirus Severe Acute Respiratory Syndrome (SARS)-Coronavirus-2 (CoV-2) has resulted in an ongoing pandemic and has affected over 200 countries around the world. Mathematical epidemic models can be used to predict the course of an epidemic and develop methods for controlling it. As social contact is a key factor in disease spreading, modeling epidemics on contact networks has been increasingly used.

Author Correction: Caution in inferring viral strategies from abundance correlations in marine metagenomes.

The original version of the Article contained a spelling error in the word 'piggyback'. This error has been corrected in both the PDF and HTML versions of the Article.