Modeling the Age-Dependent Infectiousness of Diseases: An Integral Equation Approach
Mathematical Modelling and Applications
Volume 4, Issue 1, March 2019, Pages: 10-14
Received: Mar. 30, 2019;
Accepted: May 14, 2019;
Published: Jun. 4, 2019
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Rathgama Guruge Uma Indeewari Meththananda, Department of Spatial Sciences, General Sir John Kotelawala Defence University, Sooriyawewa, Sri Lanka
Naleen Chaminda Ganegoda, Department of Mathematics, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
Shyam Sanjeewa Nishantha Perera, Research & Development Centre for Mathematical Modeling, Department of Mathematics, University of Colombo, Colombo, Sri Lanka
Many mathematical models developed through differential equations to describe the age dependent infectiousness of diseases, face the complexity of modelling heterogenic behavior of transmission. There, many of the cases assume the host to stay in the same risk class regardless of the age of the hosts. The proposed model mimics the infectiousness according to the age-scale of an individual via integral equation approach. This model indicates the applicability of Fredholm type integral equations with degenerated kernel. Introducing biological, behavioral and environmental influences provokes to address the accumulating nature of different factors in modelling the risk of getting infected. The risk of getting infected is modeled by the inability of responding with acquired immunity and the accumulated risk given from the other individuals in each age group via the mobility patterns. Within this approach environmental stimulus are modeled via periodic functions in order to describe the stochastic behavior of the spreading capabilities. In this study, the behavioral analysis evaluates the maximum risk of getting infectious in the considered parsimonious approach. And the sensitivity analysis describes the contribution of the mobility risk and stochastic nature on the overall risk. Further the model guides to formulate hypotheses and data collection strategies to measure the risk of a disease.
Rathgama Guruge Uma Indeewari Meththananda,
Naleen Chaminda Ganegoda,
Shyam Sanjeewa Nishantha Perera,
Modeling the Age-Dependent Infectiousness of Diseases: An Integral Equation Approach, Mathematical Modelling and Applications.
Vol. 4, No. 1,
2019, pp. 10-14.
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