Mathematical models of epidemics are important tools for predicting epidemic dynamics and
evaluating interventions. Yet, because early models are built on limited information, it is …

Several studies have surveyed the literature of mathematical modelling of the Ebola virus
disease (EVD). However, most of these reviews did not report any work published after …

The data for the Ebola outbreak that occurred in 2014–2016 in three countries of West Africa
are analysed within a common framework. The analysis is made using the results of an …

The E/S (exposed/susceptible) ratio is analyzed in the SEIR model. The ratio plays a key
role in understanding epidemic dynamics during the 2014–2016 Ebola outbreak in Sierra …

In this research, a susceptible-exposed-infected-quarantine-recovered-type epidemic model
containing fractional-order differential equations is suggested and examined in order to …

The ongoing COVID-19 pandemic has overwhelmingly demonstrated the need to accurately
evaluate the effects of implementing new or altering existing nonpharmaceutical …

We assess the relationship between epidemic size and the scaling of epidemic growth of
Ebola epidemics at the level of administrative areas during the 2014–16 Ebola epidemic in …

Ebola virus—one of the deadliest viral diseases, with a mortality rate around 90%—
damages the immune system and organs, with symptoms including episodic fever, chills …

The COVID-19 pandemic has posed unprecedented challenges to public health world-wide.
To make decisions about mitigation strategies and to understand the disease dynamics …

Background. Precision public health is a state‐of‐the‐art concept in public health research
and its application in health care. Application of information technology in field of …