Since the emergence of the novel 2019 coronavirus pandemic in December 2019 (COVID-
19), numerous modellers have used diverse techniques to assess the dynamics of …

Multi‐compartment models have been playing a central role in modelling infectious disease
dynamics since the early 20th century. They are a class of mathematical models widely used …

Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

Objective We aim to develop a hybrid model for earlier and more accurate predictions for the
number of infected cases in pandemics by (1) using patients' claims data from different …

Background: The World Health Organization has declared the novel coronavirus disease
(COVID-19) to be a public health emergency; at present, India is facing a major threat of …

Several SARS-CoV-2 variants have emerged around the world, and the appearance of other
variants depends on many factors. These new variants might have different characteristics …

A comprehensive view of disease epidemics demands a deep understanding of the complex
interplay between human behaviour and infectious diseases. Here, we propose a flexible …

Susceptible-infectious-recovered-susceptible (SIRS) epidemic models assume that
individual immunity wanes in one leap, from complete immunity to complete susceptibility …

Given the scarcity of safe and effective COVID-19 vaccines, a chief policy question is how to
allocate them among different sociodemographic groups. This paper evaluates COVID-19 …

Abstract The particle Markov-chain Monte Carlo (PMCMC) method is a powerful tool to
efficiently explore high-dimensional parameter space using time-series data. We illustrate …