COVID-19 and SARS-CoV-2. Modeling the present, looking at the future

E Estrada - Physics reports, 2020 - Elsevier
Abstract Since December 2019 the Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2) has produced an outbreak of pulmonary disease which has soon become a …

Statistical modeling for the prediction of infectious disease dissemination with special reference to COVID-19 spread

SK Yadav, Y Akhter - Frontiers in public health, 2021 - frontiersin.org
In this review, we have discussed the different statistical modeling and prediction techniques
for various infectious diseases including the recent pandemic of COVID-19. The distribution …

Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China

BF Maier, D Brockmann - Science, 2020 - science.org
The recent outbreak of coronavirus disease 2019 (COVID-19) in mainland China was
characterized by a distinctive subexponential increase of confirmed cases during the early …

Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography

J Chen, L Wu, J Zhang, L Zhang, D Gong, Y Zhao… - Scientific reports, 2020 - nature.com
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel
coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep …

[HTML][HTML] Comparing the accuracy of several network-based COVID-19 prediction algorithms

MA Achterberg, B Prasse, L Ma, S Trajanovski… - International journal of …, 2022 - Elsevier
Researchers from various scientific disciplines have attempted to forecast the spread of the
Coronavirus Disease 2019 (COVID-19). The proposed epidemic prediction methods range …

A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects

Z Lu, Y Yu, YQ Chen, G Ren, C Xu, S Wang, Z Yin - Nonlinear dynamics, 2020 - Springer
In the end of 2019, a new type of coronavirus first appeared in Wuhan. Through the real-data
of COVID-19 from January 23 to March 18, 2020, this paper proposes a fractional SEIHDR …

Count regression models for COVID-19

S Chan, J Chu, Y Zhang, S Nadarajah - Physica A: Statistical Mechanics …, 2021 - Elsevier
At the end of 2019, the current novel coronavirus emerged as a severe acute respiratory
disease that has now become a worldwide pandemic. Future generations will look back on …

[HTML][HTML] Effect of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) on reproductive system

N Wang, L Qin, L Ma, H Yan - Stem cell research, 2021 - Elsevier
Since the emergence of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-
2) infection in December 2019, it has rapidly spread across many countries and it has …

Modeling COVID-19 spread using multi-agent simulation with small-world network approach

Q Fan, Q Li, Y Chen, J Tang - BMC Public Health, 2024 - Springer
Background The rapid global spread of COVID-19 has seriously impacted people's daily
lives and the social economy while also posing a threat to their lives. The analysis of …

Covid-19: Employee fever detection with thermal camera integrated with attendance management system

A Gupta, S Maurya, N Mehra… - 2021 11th international …, 2021 - ieeexplore.ieee.org
We all know that this is a tough time of COVID-19 with which the whole world is fighting. It is
a virus that has taken many lives and affected the lack of people across the globe. It is a …