Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …

The term machine learning refers to a collection of tools used for identifying patterns in data.
As opposed to traditional methods of pattern identification, machine learning tools relies on …

Background: The recent global outbreak of coronavirus disease (COVID-19) is affecting
many countries worldwide. Iran is one of the top 10 most affected countries. Search engines …

Background In the prevention and control of infectious diseases, previous research on the
application of big data technology has mainly focused on the early warning and early …

Infectious disease occurs when a person is infected by a pathogen from another person or
an animal. It is a problem that causes harm at both individual and macro scales. The Korea …

Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …

Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need
for large-scale, up-to-date, and reproducible studies assessing the prevalence and …

Background: Internet-videos, though popular sources of public health information, are often
unverified and anecdotal. We critically evaluated YouTube videos about Zika virus available …

The recent outbreak of COVID-19 has brought the entire world to a standstill. The rapid pace
at which the virus has spread across the world is unprecedented. The sheer number of …

Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in
part thanks to the numerous successes of modern machine learning techniques such as …