|
|
|
|
|
Vasileios Thomopoulos and Kostas Tsichlas
In this research, we present the first steps toward developing a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst the ongoing COVID-19 pandemic caused by SARS-CoV-2, this research hold...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingtao Sun, Jin Qi, Zhen Yan, Yadong Li, Jie Liang and Sensen Wu
The COVID-19 pandemic has had a profound impact on people?s lives, making accurate prediction of epidemic trends a central focus in COVID-19 research. This study innovatively utilizes a spatiotemporal heterogeneity analysis (GTNNWR) model to predict COVI...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iqbal M. Batiha, Ahmad A. Abubaker, Iqbal H. Jebril, Suha B. Al-Shaikh, Khaled Matarneh and Manal Almuzini
This paper establishes a novel fractional-order version of a recently expanded form of the Susceptible-Exposed-Infectious-Recovery (SEIR) Mpox model. This model is investigated by means of demonstrating some significant findings connected with the stabil...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maisarah Mohd Sufian, Ervin Gubin Moung, Mohd Hanafi Ahmad Hijazi, Farashazillah Yahya, Jamal Ahmad Dargham, Ali Farzamnia, Florence Sia and Nur Faraha Mohd Naim
COVID-19, an infectious coronavirus disease, has triggered a pandemic that has claimed many lives. Clinical institutes have long considered computed tomography (CT) as an excellent and complementary screening method to reverse transcriptase-polymerase ch...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sishu Zhou and Hong Chen
(1) Background: The spread of agricultural green production technologies and systems among small farmers is affected by multiple factors such as subjectivity and objectivity. (2) Methods: Based on the marketability of agricultural green production social...
ver más
|
|
|
|
|
|
|
|
|
|
|
M. Mohamed, S. M. Mabrouk and A. S. Rashed
In recent times, the global community has been faced with the unprecedented challenge of the coronavirus disease (COVID-19) pandemic, which has had a profound and enduring impact on both global health and the global economy. The utilization of mathematic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cristina-Maria Stancioi, Iulia Adina ?tefan, Violeta Briciu, Vlad Mure?an, Iulia Clitan, Mihail Abrudean, Mihaela-Ligia Ungure?an, Radu Miron, Ecaterina Stativa, Michaela Nanu, Adriana Topan, Daniela Oana Toader and Ioana Nanu
The COVID-19 infectious disease spread in the world represents, by far, one of the most significant moments in humankind?s recent history, affecting daily activities for a long period of time. The data available now allow important modelling developments...
ver más
|
|
|
|
|
|
|
|
|
|
|
Elizabeth Hunter and John D. Kelleher
Agent-based models can be used to better understand the impacts of lifting restrictions or implementing interventions during a pandemic. However, agent-based models are computationally expensive, and running a model of a large population can result in a ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matthew D. Johnston, Bruce Pell and Patrick Nelson
We introduce a novel n-stage vaccination model and corresponding system of differential equations that stratify a population according to their vaccination status. The model is an extension of the classical SIR-type models commonly used for time-course s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Puspa Eosina, Aniati Murni Arymurthy and Adila Alfa Krisnadhi
During the COVID-19 outbreak, modeling the spread of infectious diseases became a challenging research topic due to its rapid spread and high mortality rate. The main objective of a standard epidemiological model is to estimate the number of infected, su...
ver más
|
|
|
|
|
|