Authors
Samar Wazir, Surendra Gour, Md Tabrez Nafis, Rijwan Khan
Publication date
2021/1/1
Journal
Informatics in Medicine Unlocked
Volume
26
Pages
100761
Publisher
Elsevier
Description
Contagious diseases and their impacts can be modulated to a higher extent by implementing proper mathematical or statistical models that comprehend connectivity and the spreading patterns among populations. An approach has been presented throughout this paper to find the optimal connectivity. And thus, this is possible only by analyzing the models of the network formation and comparing them with the real-world data. The study uses the connectivity coefficient for improving the infectious disease modelling and testing the Susceptible-Infectious-Removed stochastic model. In addition, the results of the proposed model are discussed in the context of quantification of risk as it helps trace and avoid infections to prevent any further outbreak of the diseases.
Total citations
2022202311
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