@inproceedings{8f452f75a0ee423ca53a06dfca56ee6f,
title = "IoT cloud-based framework using of smart integration to control the spread of COVID-19",
abstract = "Coronavirus disease 2019 (COVID-19) is currently the most crucial emerging virus in the world. The absence of licensed medication or vaccination leads to alternative strategies. A fundamental response plan implemented by all countries was the detection and isolation of infected cases. Contact tracing of infected citizens and testing every suspected case is a prerequisite to avoid new quarantine measures. Infected cases called 'Orphan cases' with no epidemiological connection are more worrying. The initial method to identify them should be knowing the probability for a citizen to be infected, given that presents specific symptoms, to be tested as a suspected case and not as random. This article proposes a cloud-based identification system that studies suspected cases to increase the likelihood that a positive result is correct. Also, it introduces an innovative solution to prevent and control the further spread of Corona-virus disease based on smartphones through the deployment of cutting-edge computing systems in the framework of a Naive Bayesian Network (NBN). Furthermore, the integration of Google Maps could provide geolocation risk assessment and early inferences to government health authorities to raise the test rates in risk- prone areas.",
keywords = "cloud computing, coronavirus, covid-19, epidemic, internet of things, machine learning, pandemic",
author = "Andreou Andreas and Mavromoustakis, {Constandinos X.} and George Mastorakis and {Mongay Batalla}, Jordi and Sahalos, {John N.} and Evangelos Pallis and Evangelos Markakis",
note = "Funding Information: ACKNOWLEDGEMENT This research was funded by the National Centre for Research and Development under Gospostrateg Programme framework, and more speciffically 5G@PL project entitled” Deployment of 5G network in Polish market” grant agreement: Gospostrateg1/38302/19/NCBR/2018. This research work was also funded by the Smart and Health Ageing through People Engaging in supporting Systems SHAPES project, which has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 857159. Parts of this work were supported by the Ambient Assisted Living (AAL) project vINCI: “Clinically-validated INtegrated Support for Assistive Care and Lifestyle Improvement: The Human Link” funded by Cyprus Research and Innovation Foundation in Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Communications, ICC 2021 ; Conference date: 14-06-2021 Through 23-06-2021",
year = "2021",
month = jun,
doi = "10.1109/ICC42927.2021.9500528",
language = "English",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICC 2021 - IEEE International Conference on Communications, Proceedings",
}