Pediatric and geriatric immunity network mobile computational model for COVID-19. Issue 4 (10th July 2020)

• Record Type: Journal Article
• Authors: Priya, K. Banu; Rajendran, P.; M., Sandeep Kumar; J., Prabhu; Rajendran, Sukumar; Kumar, P.J.; P., Thanapal; Christopher, Jabez; R., Jothikumar
• Is Part Of: International journal of pervasive computing and communications. Volume 16:Issue 4(2020)
• Page Start: 321
• Page End: 330
• Publication Date: 2020-07-10
• Subjects: Pediatric -- COVID-19 -- Computational immunity model -- Geriatric -- Simplified -- Patients; Ubiquitous computing -- Periodicals; Mobile computing -- Periodicals; Computer network protocols -- Periodicals; Computer network architectures -- Periodicals; Application software -- Development -- Periodicals; 004.6
• DOI: 10.1108/IJPCC-06-2020-0054
• Languages: English
• ISSNs: 1742-7371

Abstract

Abstract : Purpose: The computational model proposed in this work uses the data's of COVID-19 cases in India. From the analysis, it can be observed that the proposed immunity model decides the recovery rate of COVID −19 patients; moreover, the recovery rate does not depend on the age of the patients. These analytic models can be used by public health professionals, hospital administrators and epidemiologists for strategic decision-making to enhance health requirements based on various demographic and social factors of those affected by the pandemic. Mobile-based computational model can be used to compute the travel history of the affected people by accessing the near geographical maps of the path traveled. Design/methodology/approach: In this paper, the authors developed a pediatric and geriatric person's immunity network-based mobile computational model for COVID-19 patients. As the computational model is hard to analyze mathematically, the authors simplified the computational model as general COVID-19 infected people, the computational immunity model. The model proposed in this work used the data's of COVID-19 cases in India. Findings: This study proposes a pediatric and geriatric people immunity network model for COVID- 19 patients. For the analysis part, the data's on COVID-19 cases in India was used. In this model, the authors have taken two sets of people (pediatric and geriatric), both are facing common symptoms such as fever, cough and myalgia. From the analysis, it was observed and also proved that the immunity level of patients decides the recovery rate of COVID-19 patients and the age of COVID-19 patients has no significant influence on the recovery rate of the patient. Originality/value: COVID-19 has created a global health crisis that has had a deep impact on the way we perceive our world and our everyday lives. Not only the rate of contagion and patterns of transmission threatens our sense of agency, but the safety measures put in place to contain the spread of the virus also require social distancing. The novel model in this work focus on the Indian scenario and thereby may help Indian health organizations for future planning and organization. The factors model in this work such as age, immunity level, recovery rate can be used by machine leaning models for predicting other useful outcomes.