Computational applications of extended SIR models: A review focused on airborne pandemics

T Lazebnik - Ecological Modelling, 2023 - Elsevier
Epidemiological-Mathematical models are powerful tools for estimating the course of a
pandemic and exploring different scenarios through pandemic intervention policies (PIPs) …

An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation

K Nixon, S **dal, F Parker, NG Reich… - The Lancet Digital …, 2022 - thelancet.com
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …

[HTML][HTML] A fractal-fractional order Susceptible-Exposed-Infected-Recovered (SEIR) model with Caputo sense

S Paul, A Mahata, M Karak, S Mukherjee, S Biswas… - Healthcare …, 2024 - Elsevier
This study explores the intricacies of the COVID-19 pandemic by employing a four-
compartment model with a fractal-fractional derivative based on Caputo concept. The …

[HTML][HTML] A dynamical study of SARS-COV-2: A study of third wave

XP Li, Y Wang, MA Khan, MY Alshahrani… - Results in Physics, 2021 - Elsevier
The coronavirus still an epidemic in most countries of the world and put the people in danger
with so many infected cases and death. Considering the third wave of corona virus infection …

Lessons drawn from China and South Korea for managing COVID-19 epidemic: insights from a comparative modeling study

B Tang, F **a, NL Bragazzi, Z McCarthy, X Wang, S He… - ISA transactions, 2022 - Elsevier
We conducted a comparative study of the COVID-19 epidemic in three different settings:
mainland China, the Guangdong province of China and South Korea, by formulating two …

Fractional order SEIQRD epidemic model of Covid-19: A case study of Italy

S Paul, A Mahata, S Mukherjee, PC Mali, B Roy - PLoS One, 2023 - journals.plos.org
The fractional order SEIQRD compartmental model of COVID-19 is explored in this
manuscript with six different categories in the Caputo approach. A few findings for the new …

Usage of compartmental models in predicting COVID-19 outbreaks

P Zhang, K Feng, Y Gong, J Lee, S Lomonaco, L Zhao - The AAPS journal, 2022 - Springer
Accurately predicting the spread of the SARS-CoV-2, the cause of the COVID-19 pandemic,
is of great value for global regulatory authorities to overcome a number of challenges …

On mathematical model of infectious disease by using fractals fractional analysis

K Shah, M Sarwar, T Abdeljawad - Discrete and Continuous …, 2024 - aimsciences.org
Here, we remarked that fractals or Housdarff derivatives are important tools to investigate
various problems. However, fractals when combined with fractional orders of different …

From Infection to Immunity: Understanding the Response to SARS-CoV2 Through In-Silico Modeling

F Castiglione, D Deb, AP Srivastava, P Liò… - Frontiers in …, 2021 - frontiersin.org
Background Immune system conditions of the patient is a key factor in COVID-19 infection
survival. A growing number of studies have focused on immunological determinants to …

Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics

G Großmann, M Backenköhler, V Wolf - Plos one, 2021 - journals.plos.org
In the recent COVID-19 pandemic, mathematical modeling constitutes an important tool to
evaluate the prospective effectiveness of non-pharmaceutical interventions (NPIs) and to …