Dynamically modeling SARS and other newly emerging respiratory illnesses: past, present, and future

CT Bauch, JO Lloyd-Smith, MP Coffee… - Epidemiology, 2005 - journals.lww.com
The emergence and rapid global spread of the severe acute respiratory syndrome (SARS)
coronavirus in 2002–2003 prompted efforts by modelers to characterize SARS epidemiology …

Predicting COVID-19 in China using hybrid AI model

N Zheng, S Du, J Wang, H Zhang, W Cui… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The coronavirus disease 2019 (COVID-19) breaking out in late December 2019 is gradually
being controlled in China, but it is still spreading rapidly in many other countries and regions …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arxiv preprint arxiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

Early prediction of the 2019 novel coronavirus outbreak in the mainland China based on simple mathematical model

L Zhong, L Mu, J Li, J Wang, Z Yin, D Liu - IEEE access, 2020 - ieeexplore.ieee.org
The 2019 novel coronavirus (2019-nCoV) outbreak has been treated as a Public Health
Emergency of International Concern by the World Health Organization. This work made an …

The current status of COVID-19 vaccines

K Lundstrom - Frontiers in genome editing, 2020 - frontiersin.org
The current COVID-19 pandemic has substantially accelerated the demands for efficient
vaccines. A wide spectrum of approaches includes live attenuated and inactivated viruses …

Inversion of a SIR-based model: A critical analysis about the application to COVID-19 epidemic

A Comunian, R Gaburro, M Giudici - Physica D: Nonlinear Phenomena, 2020 - Elsevier
Calibration of a SIR (Susceptibles–Infected–Recovered) model with official international
data for the COVID-19 pandemics provides a good example of the difficulties inherent in the …

Development of a dose‐response model for SARS coronavirus

T Watanabe, TA Bartrand, MH Weir… - Risk Analysis: An …, 2010 - Wiley Online Library
In order to develop a dose‐response model for SARS coronavirus (SARS‐CoV), the pooled
data sets for infection of transgenic mice susceptible to SARS‐CoV and infection of mice …

Analysis, prediction, and control of epidemics: A survey from scalar to dynamic network models

L Zino, M Cao - IEEE Circuits and Systems Magazine, 2021 - ieeexplore.ieee.org
During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …

SIRSi compartmental model for COVID-19 pandemic with immunity loss

CM Batistela, DPF Correa, ÁM Bueno… - Chaos, Solitons & …, 2021 - Elsevier
Abstract The coronavirus disease 2019 (Covid-19) outbreak led the world to an
unprecedented health and economic crisis. In an attempt to respond to this emergency …

Based on mathematical epidemiology and evolutionary game theory, which is more effective: quarantine or isolation policy?

M Alam, KMA Kabir, J Tanimoto - Journal of Statistical Mechanics …, 2020 - iopscience.iop.org
Outbreaks of repeated pandemics and heavy epidemics are daunting threats to human life.
This study aims at investigating the dynamics of disease conferring temporary or waning …