[HTML][HTML] Digital health strategies to fight COVID-19 worldwide: challenges, recommendations, and a call for papers

G Fagherazzi, C Goetzinger, MA Rashid… - Journal of medical …, 2020 - jmir.org
The coronavirus disease (COVID-19) pandemic has created an urgent need for coordinated
mechanisms to respond to the outbreak across health sectors, and digital health solutions …

A review on COVID-19 forecasting models

I Rahimi, F Chen, AH Gandomi - Neural computing and applications, 2023 - Springer
Abstract The novel coronavirus (COVID-19) has spread to more than 200 countries
worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such …

Green closed-loop supply chain networks' response to various carbon policies during COVID-19

S Abbasi, B Erdebilli - Sustainability, 2023 - mdpi.com
As concerns about the environment continue to increase and restrictions become tougher,
professionals in business and legislators are being compelled to investigate the …

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

S Bhattacharya, PKR Maddikunta, QV Pham… - Sustainable cities and …, 2021 - Elsevier
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …

Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset

LJ Muhammad, EA Algehyne, SS Usman, A Ahmad… - SN computer …, 2021 - Springer
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …

Artificial intelligence for COVID-19: a systematic review

L Wang, Y Zhang, D Wang, X Tong, T Liu… - Frontiers in …, 2021 - frontiersin.org
Background: Recently, Coronavirus Disease 2019 (COVID-19), caused by severe acute
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …

Automated detection and forecasting of covid-19 using deep learning techniques: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Neurocomputing, 2024 - Elsevier
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …

Blockchain for deep learning: review and open challenges

M Shafay, RW Ahmad, K Salah, I Yaqoob… - Cluster …, 2023 - Springer
Deep learning has gained huge traction in recent years because of its potential to make
informed decisions. A large portion of today's deep learning systems are based on …

Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications

RA Khalil, N Saeed, M Masood, YM Fard… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Google searches for the keywords of “wash hands” predict the speed of national spread of COVID-19 outbreak among 21 countries

YH Lin, CH Liu, YC Chiu - Brain, behavior, and immunity, 2020 - Elsevier
This study hypothesized that national population health literacy might reflect on their
keywords searching. We applied Google searches for “wash hands” and “face mask” during …