Computational IT Tool Application for Modeling COVID-19 Outbreak

Abstract

Infection is an important problem in clinical medicine. Emerging infectious disease outbreak usually causes public health problem. Coronavirus disease 2019 (COVID-19) is a new emerging coronavirus infection that causes pandemic in 2020. The outbreak affects more than 200 countries around the world, causing illness in more than 11 million of world population. To understand the outbreak, in the depth epidemiological analysis is important. The use of novel information technology for assessment of the outbreak is interesting. The informatics technology is accepted for its advantage in public health. One of the important advantages is the clarification of the public health phenomenon. The IT tool and technique are applicable for study on outbreak of emerging infectious disease. The IT approach can help clarify the pattern of outbreak and can further give important data for disease containment. The IT tool can identify the descriptive details of the outbreak and it can also show the interrelationship between emerging infection to time and place. Additionally, the IT tool can also help further predict the trend or progression of the outbreak. This is a useful application for further public health policies planning for outbreak containment. In this chapter, the authors summarize and discuss on the usefulness and application of IT technology and tool for managing COVID-19. The examples are also given to help readers recognize the IT application for corresponding to COVID-19 outbreak. Using the standard tools, the clarification and prediction for the COVID-19 outbreak can be successfully done. The IT tools are helpful for clinical epidemiological manipulation in public health management against COVID-19. Nevertheless, the use of the IT tool requires good primary data and there might be a problem if the collection technique of primary data from field work is not good.