Sensitivity analysis (SA) aims to identify the key parameters that affect model performance
and it plays important roles in model parameterization, calibration, optimization, and …

Sensitivity analysis is an important part of a mathematical modeller's toolbox for model
analysis. In this review paper, we describe the most frequently used sensitivity techniques …

There is a continuing debate on relative benefits of various mitigation and suppression
strategies aimed to control the spread of COVID-19. Here we report the results of agent …

The novel coronavirus (SARS-CoV-2), identified in China at the end of December 2019 and
causing the disease COVID-19, has meanwhile led to outbreaks all over the globe with …

In this work, we investigate the transmission dynamics of pine wilt disease infection and
developed a new model utilizing Caputo fractional-order derivative. Moreover, with the use …

Rabies remains a major public health concern in many regions of the world, particularly in
poorer nations. This study proposes a mathematical model for the animal rabies …

There are many challenges to quantifying and evaluating the media impact on the control of
emerging infectious diseases. We modeled such media impacts using a piecewise smooth …

Despite the existence of effective rabies vaccines for dogs, dog-transmitted human rabies
persists and has reemerged in Africa. Two consecutive dog vaccination campaigns took …

In this paper, we study a dengue model governed by an eight-dimensional autonomous
system of ordinary differential equations using dynamical system theory. Appropriate …

The lipid nanoparticle (LNP)-formulated mRNA vaccines BNT162b2 and mRNA-1273 are a
widely adopted multi vaccination public health strategy to manage the COVID-19 pandemic …