Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review

I Kaur, AK Sandhu, Y Kumar - Archives of Computational Methods in …, 2022 - Springer
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …

Some novel mathematical analysis on the fractal–fractional model of the AH1N1/09 virus and its generalized Caputo-type version

S Etemad, I Avci, P Kumar, D Baleanu… - Chaos, Solitons & …, 2022 - Elsevier
In this paper, we formulate a new model of a particular type of influenza virus called
AH1N1/09 in the framework of the four classes consisting of susceptible, exposed, infectious …

Modeling the spread of infectious diseases: a review

D Chen - Analyzing and modeling spatial and temporal …, 2014 - Wiley Online Library
The use of models in epidemiology has become increasingly important for studying the
spread of disease, designing interventions to control and prevent further outbreaks, and …

Impact of a new SARS-CoV-2 variant on the population: A mathematical modeling approach

G Gonzalez-Parra, D Martínez-Rodríguez… - Mathematical and …, 2021 - mdpi.com
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 fractional order epidemic model for the simulation of outbreaks of influenza A (H1N1)

G González‐Parra, AJ Arenas… - … methods in the …, 2014 - Wiley Online Library
In this paper, we propose a nonlinear fractional order model in order to explain and
understand the outbreaks of influenza A (H1N1). In the fractional model, the next state …

Construction of nonstandard finite difference schemes for the SI and SIR epidemic models of fractional order

AJ Arenas, G Gonzalez-Parra… - … and Computers in …, 2016 - Elsevier
In this paper we construct nonstandard finite difference (NSFD) schemes to obtain numerical
solutions of the susceptible–infected (SI) and susceptible–infected–recovered (SIR) …

Smart monitoring and controlling of Pandemic Influenza A (H1N1) using Social Network Analysis and cloud computing

R Sandhu, HK Gill, SK Sood - Journal of Computational Science, 2016 - Elsevier
H1N1 is an infectious virus which, when spread affects a large volume of the population. It is
an airborne disease that spreads easily and has a high death rate. Development of …

[HTML][HTML] Community and campus COVID-19 risk uncertainty under university reopening scenarios: Model-based analysis

J Benneyan, C Gehrke, I Ilies… - JMIR public health and …, 2021 - publichealth.jmir.org
Background: Significant uncertainty has existed about the safety of reopening college and
university campuses before the COVID-19 pandemic is better controlled. Moreover, little is …

Mathematical modeling to study optimal allocation of vaccines against COVID-19 using an age-structured population

G González-Parra, MR Cogollo, AJ Arenas - Axioms, 2022 - mdpi.com
Vaccination against the coronavirus disease 2019 (COVID-19) started in early December of
2020 in the USA. The efficacy of the vaccines vary depending on the SARS-CoV-2 variant …

A study on the AH1N1/09 influenza transmission model with the fractional Caputo–Fabrizio derivative

S Rezapour, H Mohammadi - Advances in difference equations, 2020 - Springer
We study the SEIR epidemic model for the spread of AH1N1 influenza using the Caputo–
Fabrizio fractional-order derivative. The reproduction number of system and equilibrium …