Guest Editors
Prof. Yu-Dong Zhang, University of Leicester, UK
Prof. Qilong Wang, Nanjing Medical University, China
Dr. Sean H. Y. Yuan, City University of Hong Kong, China
Summary
The 2019–20 coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was declared to be a Public Health Emergency of International Concern and recognized as a pandemic by the World Health Organization. The outbreak of COVID-19 has rapidly spread to most countries in the world. To date (21 April 2020), there have been more than 2.5 million confirmed cases and 174,336 deaths around the world.
Computer modelling (CM) plays an important role in fighting COVID-19. For example, CM techniques can help develop vaccine & targeted drugs for COVID-19. In epidemiology, CM can provide tracking and prediction of the spread speed of infected territories and areas, so as to assist policymakers to make appropriate decisions. The visualization technology provides a global overview for policy-makers. AI and CM methods are efficient in making fast and accurate diagnoses of COVID-19 using trained models, based on routine CT or X-ray or other imaging tools. Wearable sensors can monitor abnormality for home-based mild COVID-19 patients. Human behavioral data can be analyzed to make better individual or community quarantine and social control policies. CM can help predict the protein structures of the coronavirus. The emotional data in mental health can be utilized to help people to cope with self-quarantined people. CM can manage medical resources (e.g., face masks, ventilator, et al.) supply chain.
This Special Section aims to invite original research papers that report the latest advances of medical images based health informatics for COVID-19. Submissions should clarify the substantive improvements on work that has already been published, accepted for publication, or submitted in parallel to other conferences or journals.
The topics of interest include, but are not limited to computer modelling for COVID-19 and other infectious diseases:
• Early prediction and early detection using AI and advanced signal processing methods;
• Genotype, phenotype, and pathogenesis;
• Supervised or semi-supervised learning for classification & segmentation;
• Diagnosis using biomarkers and imaging-based data-driven methods;
• Tracking and prediction of spread speed of infected territories and areas;
• Transfer learning methods for diagnosis and segmentation;
• Explainable AI-based prediction, segmentation, and diagnosis;
• Medical and healthcare equipment/resources supply chain management;
• Wearable sensors or IoT based public health support, patient behavior and emotion monitoring;
• VR/AR computer-aided diagnosis system;
• Design and development of vaccine & targeted drug;
• Epidemic dynamics prediction and forecast;
• Computational prediction of protein structure associated with virus;
• Epidemic prevention and control;
• Socio-economic impacts of COVID-19 interventions;
• Evaluating human responses and social distancing during the outbreak;
• Survival and risk of recurrence estimation;
• 2D and 3D visualization;
• Recovery prediction in rehabilitation;
• Potential therapeutics;
• Public health system or strategies;
• Psychological stress and intervention during outbreak of COVID-19.
Publication Fee: All fees are waived for this special issue.
Published Papers
-
Open Access
EDITORIAL
Introduction to the Special Issue on Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19
Yudong Zhang, Qilong Wang, Sean H. Y. Yuan
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.2, pp. 385-387, 2021, DOI:10.32604/cmes.2021.016386
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract This article has no abstract.
More >
-
Open Access
ARTICLE
A Real-Time Integrated Face Mask Detector to Curtail Spread of Coronavirus
Shilpa Sethi, Mamta Kathuria, Trilok Kaushik
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.2, pp. 389-409, 2021, DOI:10.32604/cmes.2021.014478
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract Effective strategies to control COVID-19 pandemic need high attention to mitigate negatively impacted communal health and global economy, with the brim-full horizon yet to unfold. In the absence of effective antiviral and limited medical resources, many measures are recommended by WHO to control the infection rate and avoid exhausting the limited medical resources. Wearing mask is among the non-pharmaceutical intervention measures that can be used as barrier to primary route of SARS-CoV2 droplets expelled by presymptomatic or asymptomatic individuals. Regardless of discourse on medical resources and diversities in masks, all countries are mandating coverings over nose and mouth in public…
More >
-
Open Access
ARTICLE
Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia
Abdulaziz Attaallah, Masood Ahmad, Adil Hussain Seh, Alka Agrawal, Rajeev Kumar, Raees Ahmad Khan
CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 419-436, 2021, DOI:10.32604/cmes.2021.014263
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract Ever since its outbreak in Wuhan, COVID-19 has cloaked the entire world in a pall of despondency and uncertainty.
The present study describes the exploratory analysis of all COVID cases in Saudi Arabia. Besides, the study has
executed the forecasting model for predicting the possible number of COVID-19 cases in Saudi Arabia till a defined
period. Towards this intent, the study analyzed different age groups of patients (child, adult, elderly) who were
affected by COVID-19. The analysis was done city-wise and also included the number of recoveries recorded in
different cities. Furthermore, the study also discusses the impact of COVID-19…
More >
-
Open Access
ARTICLE
Prediction of Proteins Associated with COVID-19 Based Ligand Designing and Molecular Modeling
Majid Monajjemi, Rahim Esmkhani, Fatemeh Mollaamin, Sara Shahriari
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 907-926, 2020, DOI:10.32604/cmes.2020.012846
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract Current understanding about how the virus that causes COVID-19
spreads is largely based on what is known about similar coronaviruses.
Some of the Natural products are suitable drugs against SARS-CoV-2 main
protease. For recognizing a strong inhibitor, we have accomplished docking studies on the major virus protease with 4 natural product species as
anti COVID-19 (SARS-CoV-2), namely “Vidarabine”, “Cytarabine”, “Gemcitabine” and “Matrine” which have been extracted from Gillan’s leaves plants.
These are known as Chuchaq, Trshvash, Cote-Couto and Khlvash in Iran.
Among these four studied compounds, Cytarabine appears as a suitable compound with high effectiveness inhibitors to this protease. Finally…
More >
-
Open Access
ARTICLE
Predictive Models for Cumulative Confirmed COVID-19 Cases by Day in Southeast Asia
Yupaporn Areepong, Rapin Sunthornwat
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 927-942, 2020, DOI:10.32604/cmes.2020.012323
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract Coronavirus disease 2019 outbreak has spread as a pandemic since
the end of year 2019. This situation has been causing a lot of problems of
human beings such as economic problems, health problems. The forecasting
of the number of infectious people is required by the authorities of all countries including Southeast Asian countries to make a decision and control the
outbreak. This research is to investigate the suitable forecasting model for
the number of infectious people in Southeast Asian countries. A comparison
of forecasting models between logistic growth curve which is symmetric and
Gompertz growth curve which is asymmetric based…
More >
-
Open Access
ARTICLE
Real-Time Analysis of COVID-19 Pandemic on Most Populated Countries Worldwide
Meenu Gupta, Rachna Jain, Akash Gupta, Kunal Jain
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 943-965, 2020, DOI:10.32604/cmes.2020.012467
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract The spread of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has already taken on pandemic extents, inuencing
even more than 200 nations in a couple of months. Although, regulation
measures in China have decreased new cases by over 98%, this decrease is not
the situation everywhere, and most of the countries still have been affected
by it. The objective of this research work is to make a comparative analysis
of the top 5 most populated countries namely United States, India, China,
Pakistan and Indonesia, from 1st January 2020 to 31st July 2020. This research
work also targets to predict…
More >
-
Open Access
ARTICLE
Study of Non-Pharmacological Interventions on COVID-19 Spread
Avaneesh Singh, Saroj Kumar Chandra, Manish Kumar Bajpai
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 967-990, 2020, DOI:10.32604/cmes.2020.011601
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract COVID-19 disease has emerged as one of the life threatening threat
to the society. A novel beta coronavirus causes it. It began as unidentified
pneumonia of unknown etiology in Wuhan City, Hubei province in China
emerged in December 2019. No vaccine has been produced till now. Mathematical models are used to study the impact of different measures used
to decrease pandemic. Mathematical models have been designed to estimate
the numbers of spreaders in different scenarios in the present manuscript.
In the present manuscript, three different mathematical models have been
proposed with different scenarios, such as screening, quarantine, and NPIs, to…
More >
-
Open Access
ARTICLE
SEIHCRD Model for COVID-19 Spread Scenarios, Disease Predictions and Estimates the Basic Reproduction Number, Case Fatality Rate, Hospital, and ICU Beds Requirement
Avaneesh Singh, Manish Kumar Bajpai
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 991-1031, 2020, DOI:10.32604/cmes.2020.012503
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract We have proposed a new mathematical method, the SEIHCRD
model, which has an excellent potential to predict the incidence of
COVID-19 diseases. Our proposed SEIHCRD model is an extension of the
SEIR model. Three-compartments have added death, hospitalized, and critical, which improves the basic understanding of disease spread and results. We
have studied COVID-19 cases of six countries, where the impact of this disease
in the highest are Brazil, India, Italy, Spain, the United Kingdom, and the
United States. After estimating model parameters based on available clinical
data, the model will propagate and forecast dynamic evolution. The model calculates the…
More >
-
Open Access
ARTICLE
Modelling the Effect of Self-Immunity and the Impacts of Asymptomatic and Symptomatic Individuals on COVID-19 Outbreak
M. H. A. Biswas, M. A. Islam, S. Akter, S. Mandal, M. S. Khatun, S. A. Samad, A. K. Paul, M. R. Khatun
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1033-1060, 2020, DOI:10.32604/cmes.2020.012792
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract COVID-19 is one of the most highly infectious diseases ever emerged
and caused by newly discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has already led the entire world to health and
economic crisis. It has invaded the whole universe all most every way. The
present study demonstrates with a nine mutually exclusive compartmental
model on transmission dynamics of this pandemic disease (COVID-19), with
special focus on the transmissibility of symptomatic and asymptomatic infection from susceptible individuals. Herein, the compartmental model has been
investigated with mathematical analysis and computer simulations in order to
understand the dynamics of COVID-19 transmission.…
More >
-
Open Access
ARTICLE
Investigation of Coronavirus Deposition in Realistic Human Nasal Cavity and Impact of Social Distancing to Contain COVID-19: A Computational Fluid Dynamic Approach
Mohammad Zuber, John Valerian Corda, Milad Ahmadi, B. Satish Shenoy, Irfan Anjum Badruddin, Ali E. Anqi, Kamarul Arifin Ahmad, S. M. Abdul Khader, Leslie Lewis, Mohammad Anas Khan, Sarfaraz Kamangar
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1185-1199, 2020, DOI:10.32604/cmes.2020.015015
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract The novel coronavirus responsible for COVID-19 has spread to
several countries within a considerably short period. The virus gets deposited
in the human nasal cavity and moves to the lungs that might be fatal. As per
safety guidelines by the World Health Organization (WHO), social distancing
has emerged as one of the major factors to avoid the spread of infection.
However, different guidelines are being followed across the countries with
regards to what should be the safe distance. Thus, the current work is an
attempt to understand the virus deposition pattern in the realistic human
nasal cavity and also to…
More >
-
Open Access
ARTICLE
Topp-Leone Odd Fréchet Generated Family of Distributions with Applications to COVID-19 Data Sets
Sanaa Al-Marzouki, Farrukh Jamal, Christophe Chesneau, Mohammed Elgarhy
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 437-458, 2020, DOI:10.32604/cmes.2020.011521
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract Recent studies have pointed out the potential of the odd Fréchet family
(or class) of continuous distributions in fitting data of all kinds. In this article, we
propose an extension of this family through the so-called “Topp-Leone strategy”,
aiming to improve its overall flexibility by adding a shape parameter. The main
objective is to offer original distributions with modifiable properties, from which
adaptive and pliant statistical models can be derived. For the new family, these
aspects are illustrated by the means of comprehensive mathematical and numerical results. In particular, we emphasize a special distribution with three parameters based on the…
More >
-
Open Access
ARTICLE
Validating the Correct Wearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19
Karim Hammoudi, Adnane Cabani, Halim Benhabiles, Mahmoud Melkemi
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1049-1059, 2020, DOI:10.32604/cmes.2020.011663
（This article belongs to this Special Issue:
Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract In a context of a virus that is transmissive by sputtering, wearing masks
appear necessary to protect the wearer and to limit the propagation of the disease.
Currently, we are facing the 2019–2020 coronavirus pandemic. Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the
flu. The symptom of COVID-19 was reported first in China and very quickly
spreads to the rest of the world. The COVID-19 contagiousness is known to be
high by comparison with the flu. In this paper, we propose a design of a mobile
application for permitting everyone having a smartphone and…
More >
Login
Register
Submit a Paper
Propose a Special lssue