Viral Infections Dynamics for Public Health

The study of viral infections has become increasingly important due to global health challenges posed by pandemics and endemic diseases. Understanding viral dynamics is essential for public health in developing effective prevention and intervention strategies. This special issue highlights recent research and methodologies to enhance our understanding of viral infections and their public health impact.

This Collection focuses on the application of statistical methods, epidemiology, and mathematical modelling to provide insights into the spread, control, and impact of viral diseases. These tools capture the complexity of infection dynamics, guide public health policies, and optimize resource allocation during outbreaks. A key emphasis is placed on using epidemiology and modelling to understand virus transmission and how environmental, social, and biological factors influence disease patterns. Mathematical models also assess interventions, such as vaccination and antiviral treatments, in controlling infections.

Additionally, this Collection emphasizes the integration of statistics, epidemiology, and mathematical modelling and their impact on public health decision-making. This multidisciplinary approach provides a comprehensive, data-driven method for managing viral infections, accounting for biological, behavioural, infrastructural, and environmental factors. This collection aims to bridge the gap between theory and practice by presenting both theoretical advancements and practical applications to enhance global health defences against future viral threats.

Keywords: Viral infections, Mathematical modelling, Epidemiological methods, Analytical techniques Statistical analysis, Optimal control, Impulsive vaccination, Public health