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Smart city article details
| Title | Internet-Assisted Data Intelligence For Pandemic Prediction: An Intelligent Framework |
|---|---|
| ID_Doc | 33115 |
| Authors | Herath H.M.K.K.M.B. |
| Year | 2022 |
| Published | Studies in Computational Intelligence, 994 |
| DOI | http://dx.doi.org/10.1007/978-3-030-87954-9_7 |
| Abstract | The latest advances in the field of information and communication technology (ICT) are enabling organizations to evolve and expand in the age of “Big Data”. The growth of big data and the development of Internet of Things (IoT) technology have aided the viability of modern smart city initiatives. The governments and industries will use these technological advancements, as well as the widespread use of ubiquitous computing, to address healthcare requirements in a variety of ways. The novel COVID-19 and other major pandemic events are known for being unexpected, unpredictable, and dangerous. With the rapid increase in coronavirus cases, big data has the potential to facilitate the prediction of outbreaks. As we witnessed, COVID-19 has caused tremendous harm to humanity all over the globe. Owing to the knowledge gained from the novel COVID-19, early pandemic prediction and responses are crucial. Various approaches for predicting pandemics have been proposed, but none have yet been developed based on people's everyday behaviors and environmental changes. The aim of this chapter is to develop a framework for pandemic prediction in a smart city by utilizing big data intelligence provided by people and environmental changes. The framework was tested using data from the novel COVID-19 virus, which was spread across Sri Lanka in 2020. Based on the experimental findings, the proposed framework has the potential to predict pandemics in the notion of the smart city. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Big data intelligence; Cloud computing; Cyber physical systems; Internet of Things (IoT); SEIR model |
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