A framework for sandboxing of pandemic spread

dc.contributor.author Rautaray, Siddharth Swarup
dc.contributor.author Pandey, Manjusha
dc.contributor.author Mohanty, Hrushikesha
dc.date.accessioned 2022-03-27T05:55:47Z
dc.date.available 2022-03-27T05:55:47Z
dc.date.issued 2021-01-01
dc.description.abstract Pandemic disease, like Corona spreading by social contacts, needs “lockdown”, a measure to limit the virus spread. But the measure is too expensive for a nation for its adverse impact on national economy. Sandboxing followed in system security is a proactive and resilient mechanism that allows a system to function either in full or partial capacity without compromising its security. Similarly, in order to limit a community spread with resilience, a proactive mechanism is required to predict and safeguard the area that is the most vulnerable to a pandemic disease infection and has the potential of a super spreader resulting to a community spread. The early care of the region may protect it from a community spread of an infection. Social analytics on immunity and connectivity are proposed in this research paper to predict the vulnerable regions. Based on this idea, a tool is under development and this paper presents a framework of the tool.
dc.identifier.citation Lecture Notes on Data Engineering and Communications Technologies. v.54
dc.identifier.issn 23674512
dc.identifier.uri 10.1007/978-981-15-8335-3_52
dc.identifier.uri http://link.springer.com/10.1007/978-981-15-8335-3_52
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/8813
dc.title A framework for sandboxing of pandemic spread
dc.type Book Series. Book Chapter
dspace.entity.type
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