Timely allocation and distribution of COVID-19 vaccines on a large scale is a highly complex, dynamic, and context-specific task. The focus of this research on optimizing vaccine allocation is on the downstream part of a COVID-19 vaccine supply chain. Previous research on vaccine supply chains...

This paper aims to determine the susceptible size used in the mathematical model that predicts the epidemic curve. It also aims to ascertain the age of the epidemic and its reliability system, further suggesting optimal decisions. This paper employs the mathematical induction and deduction...

This paper analyzes the 5-, 14- and 21-day cumulative positivity rate vis-à-vis the COVID-19 deceased rate of each time period for the first four months of COVID-19 from April 2020 to September 2020 in New Delhi, India with the intention of getting insight into the relationship between the two...

This paper develops an individual-based stochastic network SIR model for the empirical analysis of the Covid-19 pandemic. It derives moment conditions for the number of infected and active cases for single as well as multigroup epidemic models. These moment conditions are used to investigate...

We develop a novel approach integrating epidemiological and economic models that allows databased simulations during a pandemic. We examine the economically optimal opening strategy that can be reconciled with the containment of a pandemic. The empirical evidence is based on data from Germany...

We develop a novel approach integrating epidemiological and economic models that allows databased simulations during a pandemic. We examine the economically optimal opening strategy that can be reconciled with the containment of a pandemic. The empirical evidence is based on data from Germany...

A micro decision-making utility model under uncertainty is presented as a complementary foundation for macro coronavirus models. The micro model consists of two functions, a risk averse utility function depending on wellness and a wellness random output which is a function of the input variable...

Background: This study aims at analyzing the efficiency of the health systems of 31 European countries in treating COVID-19, for the period January 1, 2020 - January 1, 2021, by incorporating some factors from a multidimensional perspective. Methods: The methodology used in the research was Data...

We analyze the impact of public health policy on the spread of a disease using a version of the SIR model that includes vital statistics, waning immunity, and vaccination. This model is rich enough to accommodate endemic steady states and disease-free steady states. We choose social distancing...

To respond to pandemics such as COVID-19, policy makers have relied on interventions that target specific age groups or activities. Such targeting is potentially contentious, so rigorously quantifying its benefits and downsides is critical for designing effective and equitable pandemic control...