IoMT amid COVID-19 pandemic: Application, architecture, technology, and security

AHM Aman, WH Hassan, S Sameen… - Journal of Network and …, 2021 - Elsevier
In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with
other strategies to curb the spread of COVID-19, improve the safety of front-line personnel …

[HTML][HTML] Contribution of machine learning approaches in response to SARS-CoV-2 infection

MS Mottaqi, F Mohammadipanah, H Sajedi - Informatics in Medicine …, 2021 - Elsevier
Problem The lately emerged SARS-CoV-2 infection, which has put the whole world in an
aberrant demanding situation, has generated an urgent need for developing effective …

[HTML][HTML] Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

N Ayoobi, D Sharifrazi, R Alizadehsani, A Shoeibi… - Results in physics, 2021 - Elsevier
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 …

Applications of Machine Learning in Viral Disease Diagnosis

JK Chaudhary, H Sharma, SN Tadiboina… - … on Computing for …, 2023 - ieeexplore.ieee.org
Viral diseases are common and natural in human it spreads from animals and other
humans. It seeks to identify the proper, reliable, and effective disease detection as quickly as …

Impact of the COVID-19 lockdown on the economic situation and food security of rural households in India

V Suresh, R Fishman, JS von Lieres… - Journal of Agribusiness …, 2022 - emerald.com
Purpose The purpose of the study is to understand what impact the first COVID-19 lockdown
in 2020 had on the income and food security of rural households in India and whether it …

Traffic data-empowered XGBoost-LSTM framework for infectious disease prediction

K Guo, C Shen, X Zhou, S Ren, M Hu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Large-scale infectious diseases pose a tremendous risk to humans, with global outbreaks of
COVID-19 causing millions of deaths and trillions of dollars in economic losses. To minimize …

Analyzing and forecasting covid-19 outbreak in India

S Chordia, Y Pawar - … on Cloud Computing, Data Science & …, 2021 - ieeexplore.ieee.org
The unprecedented outbreak of the COVID-19 virus has infected more than 50 million
people all over the world in less than a year. More than 1 million people have lost their lives …

Impact of Internet of Health Things (IoHT) on COVID-19 disease detection and its treatment using single hidden layer feed forward neural networks (SIFN)

S Murugan, K Vijayakumar, V Sivakumar… - How COVID-19 is …, 2022 - Springer
COVID-19 endemic has made the entire world face an extraordinary challenging situation
which has made life in this world a fearsome halt and demanding numerous lives. As it has …

[HTML][HTML] COVID-19 multiwaves as multiphase percolation: a general N-sigmoidal equation to model the spread

A El Aferni, M Guettari, A Hamdouni - The European Physical Journal Plus, 2023 - Springer
The aim of the current study is to investigate the spread of the COVID-19 pandemic as a
multiphase percolation process. Mathematical equations have been developed to describe …

A novel method to detect the early warning signal of COVID-19 transmission

M Li, S Ma, Z Liu - BMC Infectious Diseases, 2022 - Springer
Background Infectious illness outbreaks, particularly the corona-virus disease 2019 (COVID-
19) pandemics in recent years, have wreaked havoc on human society, and the growing …