[HTML][HTML] Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December
2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and …
2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and …
On the stochastic modeling of COVID‐19 under the environmental white noise
The COVID‐19 pandemic has caused emotional loss to people around the world and
provides an unusual test for public welfare, educational framework, food frameworks, and …
provides an unusual test for public welfare, educational framework, food frameworks, and …
[HTML][HTML] Study on the SEIQR model and applying the epidemiological rates of COVID-19 epidemic spread in Saudi Arabia
This article attempts to establish a mathematical epidemic model for the outbreak of the new
COVID-19 coronavirus. A new consideration for evaluating and controlling the COVID-19 …
COVID-19 coronavirus. A new consideration for evaluating and controlling the COVID-19 …
Mathematical analysis of a stochastic model for spread of Coronavirus
This paper is associated to investigate a stochastic SEIAQHR model for transmission of
Coronavirus disease 2019 that is a recent great crisis in numerous societies. This stochastic …
Coronavirus disease 2019 that is a recent great crisis in numerous societies. This stochastic …
Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive
RP Kumar, PK Santra, GS Mahapatra - Mathematics and Computers in …, 2023 - Elsevier
The study explores the dynamics of a COVID-19 epidemic in multiple susceptible
populations, including the various stages of vaccination administration. In the model, there …
populations, including the various stages of vaccination administration. In the model, there …
Optimal control and cost-effectiveness analysis for a COVID-19 model with individual protection awareness
Y Yuan, N Li - Physica A: Statistical Mechanics and its Applications, 2022 - Elsevier
This paper is focused on the design of optimal control strategies for COVID-19 and the
model containing susceptible individuals with awareness of protection and susceptible …
model containing susceptible individuals with awareness of protection and susceptible …
COVID-19 and syphilis co-dynamic analysis using mathematical modeling approach
SW Teklu, BB Terefe - Frontiers in Applied Mathematics and Statistics, 2023 - frontiersin.org
In this study, we have proposed and analyzed a new COVID-19 and syphilis co-infection
mathematical model with 10 distinct classes of the human population (COVID-19 protected …
mathematical model with 10 distinct classes of the human population (COVID-19 protected …
Investigating the trade-off between self-quarantine and forced quarantine provisions to control an epidemic: An evolutionary approach
During a pandemic event like the present COVID-19, self-quarantine, mask-wearing,
hygiene maintenance, isolation, forced quarantine, and social distancing are the most …
hygiene maintenance, isolation, forced quarantine, and social distancing are the most …
A proposed fractional dynamic system and Monte Carlo-based back analysis for simulating the spreading profile of COVID-19
A Sioofy Khoojine, M Mahsuli, M Shadabfar… - The European Physical …, 2022 - Springer
This paper presents a dynamic system for estimating the spreading profile of COVID-19 in
Thailand, taking into account the effects of vaccination and social distancing. For this …
Thailand, taking into account the effects of vaccination and social distancing. For this …
[HTML][HTML] Time-variant reliability-based prediction of COVID-19 spread using extended SEIVR model and Monte Carlo sampling
A probabilistic method is proposed in this study to predict the spreading profile of the
coronavirus disease 2019 (COVID-19) in the United State (US) via time-variant reliability …
coronavirus disease 2019 (COVID-19) in the United State (US) via time-variant reliability …