A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic

J Rasheed, A Jamil, AA Hameed, U Aftab, J Aftab… - Chaos, Solitons & …, 2020 - Elsevier
While the world has experience with many different types of infectious diseases, the current
crisis related to the spread of COVID-19 has challenged epidemiologists and public health …

Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts

QV Pham, DC Nguyen, T Huynh-The, WJ Hwang… - IEEE …, 2020 - ieeexplore.ieee.org
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec.
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …

Mathematical models to predict COVID-19 outbreak: An interim review

P Harjule, V Tiwari, A Kumar - Journal of Interdisciplinary …, 2021 - Taylor & Francis
Abstract World Health Organization (WHO) announced novel-coronavirus (COVID-19)
disease, a pandemic on March 12, 2020, a disease caused by SARS-CoV2 virus. The …

Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?

EB Postnikov - Chaos, Solitons & Fractals, 2020 - Elsevier
Basing on existence of the mathematically sequential reduction of the three-compartmental
(Susceptible-Infected-Recovered/Removed) model to the Verhulst (logistic) equation with …

The role of healthcare supply chain management in the wake of COVID-19 pandemic: hot off the press

S Sriyanto, MS Lodhi, H Salamun, S Sardin, CF Pasani… - foresight, 2022 - emerald.com
Purpose The study aims to examine the role of health-care supply chain management
during the COVID-19 pandemic in a cross-section of 42 selected sub-Saharan African (SSA) …

Pharmacological, non-pharmacological policies and mutation: an artificial intelligence based multi-dimensional policy making algorithm for controlling the casualties …

O Tutsoy - IEEE Transactions on Pattern Analysis and Machine …, 2021 - ieeexplore.ieee.org
Fighting against the pandemic diseases with unique characters requires new sophisticated
approaches like the artificial intelligence. This paper develops an artificial intelligence …

Predicting COVID-19 spread in the face of control measures in West Africa

HB Taboe, KV Salako, JM Tison, CN Ngonghala… - Mathematical …, 2020 - Elsevier
Abstract The novel coronavirus (COVID-19) pandemic is causing devastating demographic,
social, and economic damage globally. Understanding current patterns of the pandemic …

Short-term forecasts of the COVID-19 pandemic: a study case of Cameroon

CH Nkwayep, S Bowong, JJ Tewa, J Kurths - Chaos, Solitons & Fractals, 2020 - Elsevier
In this paper, an Ensemble of Kalman filter (EnKf) approach is developed to estimate
unmeasurable state variables and unknown parameters in a COVID-19 model. We first …

Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Y Zhang, Y Hu, Y Song, D Zou, W Lin - arXiv preprint arXiv:2407.10648, 2024 - arxiv.org
Swarm navigation in cluttered environments is a grand challenge in robotics. This work
combines deep learning with first-principle physics through differentiable simulation to …

Interpretable temporal attention network for COVID-19 forecasting

B Zhou, G Yang, Z Shi, S Ma - Applied soft computing, 2022 - Elsevier
The worldwide outbreak of coronavirus disease 2019 (COVID-19) has triggered an
unprecedented global health and economic crisis. Early and accurate forecasts of COVID-19 …