[HTML][HTML] Applications of digital technology in COVID-19 pandemic planning and response

S Whitelaw, MA Mamas, E Topol… - The Lancet Digital …, 2020 - thelancet.com
With high transmissibility and no effective vaccine or therapy, COVID-19 is now a global
pandemic. Government-coordinated efforts across the globe have focused on containment …

Artificial Intelligence (AI) applications for COVID-19 pandemic

R Vaishya, M Javaid, IH Khan, A Haleem - Diabetes & Metabolic Syndrome …, 2020 - Elsevier
Background and aims Healthcare delivery requires the support of new technologies like
Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight …

Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

A Zeroual, F Harrou, A Dairi, Y Sun - Chaos, solitons & fractals, 2020 - Elsevier
Abstract The novel coronavirus (COVID-19) has significantly spread over the world and
comes up with new challenges to the research community. Although governments imposing …

Inf-net: Automatic covid-19 lung infection segmentation from ct images

DP Fan, T Zhou, GP Ji, Y Zhou, G Chen… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to
face an existential health crisis. Automated detection of lung infections from computed …

Pneumonia classification using deep learning from chest X-ray images during COVID-19

AU Ibrahim, M Ozsoz, S Serte, F Al-Turjman… - Cognitive …, 2024 - Springer
The outbreak of the novel corona virus disease (COVID-19) in December 2019 has led to
global crisis around the world. The disease was declared pandemic by World Health …

A time-dependent SIR model for COVID-19 with undetectable infected persons

YC Chen, PE Lu, CS Chang… - Ieee transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we conduct mathematical and numerical analyses for COVID-19. To predict the
trend of COVID-19, we propose a time-dependent SIR model that tracks the transmission …

Map** the landscape of artificial intelligence applications against COVID-19

J Bullock, A Luccioni, KH Pham, CSN Lam… - Journal of Artificial …, 2020 - jair.org
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …

The recent technologies to curb the second-wave of COVID-19 pandemic

M Poongodi, M Malviya, M Hamdi, HT Rauf… - Ieee …, 2021 - ieeexplore.ieee.org
Different epidemics, specially Coronavirus, have caused critical misfortunes in various fields
like monetary deprivation, survival conditions, thus diminishing the overall individual …

A critical review of emerging technologies for tackling COVID‐19 pandemic

E Mbunge, B Akinnuwesi, SG Fashoto… - Human behavior and …, 2021 - Wiley Online Library
COVID‐19 pandemic affects people in various ways and continues to spread globally.
Researches are ongoing to develop vaccines and traditional methods of Medicine and …

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 …