Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Machine learning on the COVID-19 pandemic, human mobility and air quality: A review

MM Rahman, KC Paul, MA Hossain, GGMN Ali… - Ieee …, 2021 - ieeexplore.ieee.org
The ongoing COVID-19 global pandemic is touching every facet of human lives (eg, public
health, education, economy, transportation, and the environment). This novel pandemic and …

An epidemiological neural network exploiting dynamic graph structured data applied to the COVID-19 outbreak

V La Gatta, V Moscato, M Postiglione… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the recent COVID-19 outbreak, we have assisted to the development of new epidemic
models or the application of existing methodologies to predict the virus spread and to …

Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network

B Nikparvar, MM Rahman, F Hatami, JC Thill - Scientific reports, 2021 - nature.com
Prediction of complex epidemiological systems such as COVID-19 is challenging on many
grounds. Commonly used compartmental models struggle to handle an epidemiological …

COVID-19 modeling: A review

L Cao, Q Liu - ACM Computing Surveys, 2024 - dl.acm.org
The SARS-CoV-2 viruses and their triggered COVID-19 pandemic have fundamentally
reshaped the world in almost every aspect, their evolution and influences remain. While over …

Deep learning forecasting using time-varying parameters of the SIRD model for Covid-19

A Bousquet, WH Conrad, SO Sadat, N Vardanyan… - Scientific Reports, 2022 - nature.com
Accurate epidemiological models are necessary for governments, organizations, and
individuals to respond appropriately to the ongoing novel coronavirus pandemic. One …

Building resilience against COVID-19 pandemic using artificial intelligence, machine learning, and IoT: A survey of recent progress

SMAA Abir, SN Islam, A Anwar, AN Mahmood, AMT Oo - IoT, 2020 - mdpi.com
Coronavirus disease 2019 (COVID-19) has significantly impacted the entire world today and
stalled off regular human activities in such an unprecedented way that it will have an …

Successful role of smart technology to combat COVID-19

A Waheed, J Shafi - 2020 fourth international conference on I …, 2020 - ieeexplore.ieee.org
Wild and uncontrolled spread of the corona pandemic over several months throughout the
world is a global issue. To combat this global issue advancement in information technology …

COVID‐19 pandemic‐related lockdown: response time is more important than its strictness

G Loewenthal, S Abadi, O Avram, K Halabi… - EMBO molecular …, 2020 - embopress.org
The rapid spread of SARS‐CoV‐2 and its threat to health systems worldwide have led
governments to take acute actions to enforce social distancing. Previous studies used …

Data-driven simulation and optimization for Covid-19 exit strategies

S Ghamizi, R Rwemalika, M Cordy, L Veiber… - Proceedings of the 26th …, 2020 - dl.acm.org
The rapid spread of the Coronavirus SARS-2 is a major challenge that led almost all
governments worldwide to take drastic measures to respond to the tragedy. Chief among …