Special Issue "Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19"

Submission Deadline: 30 September 2020 (closed)
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


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
  • Estimating the Impact of COVID-19 Pandemic on the Research Community in the Kingdom of Saudi Arabia
  • 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
  •   Views:377       Downloads:206        Download PDF

  • Prediction of Proteins Associated with COVID-19 Based Ligand Designing and Molecular Modeling
  • 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
  •   Views:348       Downloads:266        Download PDF

  • Predictive Models for Cumulative Confirmed COVID-19 Cases by Day in Southeast Asia
  • 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
  •   Views:1902       Downloads:817        Download PDF

  • Real-Time Analysis of COVID-19 Pandemic on Most Populated Countries Worldwide
  • 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
  •   Views:834       Downloads:403        Download PDF

  • Study of Non-Pharmacological Interventions on COVID-19 Spread
  • 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
  •   Views:287       Downloads:222        Download PDF

  • Modelling the Effect of Self-Immunity and the Impacts of Asymptomatic and Symptomatic Individuals on COVID-19 Outbreak
  • 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
  •   Views:326       Downloads:221        Download PDF

  • Topp-Leone Odd Fréchet Generated Family of Distributions with Applications to COVID-19 Data Sets
  • 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
  •   Views:1280       Downloads:555        Download PDF