The aim of the study is to show whether it is possible to predict infectious disease outbreaks
early, by using machine learning. This study was carried out following the guidelines of the …

The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …

Vaccine boosters have been recommended to mitigate the spread of the coronavirus
disease 2019 (COVID-19) pandemic. A mathematical model with three vaccine doses and …

Integrating prior epidemiological knowledge embedded within mechanistic models with the
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …

This paper proposes an infectious disease dynamics model with spatial heterogeneity to
study the joint impact of nonlocal dispersal and vaccine on the transmission dynamics of …

Background Policymakers require precise and in-time information to make informed
decisions in complex environments such as health systems. Artificial intelligence (AI) is a …

Environmental factors have a significant impact on the transmission of infectious diseases.
Existing results show that the novel coronavirus can persist outside the host. We propose a …

The effective reproduction number, Rt, is a vital epidemic parameter utilized to judge
whether an epidemic is shrinking, growing, or holding steady. The main goal of this paper is …

The study proposes an assessment of the link between the performance of national health
systems and volatility during the COVID-19 pandemic. Data from the World Health …

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 …