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020 _a9789811632273
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024 7 _a10.1007/978-981-16-3227-3
_2doi
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_2bicssc
072 7 _aCOM004000
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082 0 4 _a006.3
_223
245 1 0 _aSustainability Measures for COVID-19 Pandemic
_h[electronic resource] /
_cedited by Rashmi Agrawal, Mamta Mittal, Lalit Mohan Goyal.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXIV, 274 p. 132 illus., 113 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aInternet of Things and Web Services for handing pandemic challenges -- Corona Thwack: Socio-Economic Impact of Covid-19 Pandemic in India -- Mathematical Modeling on Double Quarantine Process in the Spread and Stability of Covid-19 -- A Study and Novel AI/ML-based Framework to Detect COVID-19 virus using Smartphone Embedded Sensors -- Transmission Modelling on COVID-19 Pandemic and its Challenges -- Effect of Covid19 pandemic on mental health: an under-realized sociological enigma -- Predicting the Covid-19 Outspread in Andhra Pradesh Using Hybrid Deep Learning -- Social Challenges and Consequences of Covid-19 -- Economic Impact & measures of Corona Regime -- Modelling the Impact of Various Treatment and Prevention Tact’s on COVID-19 Worldwide -- Understanding Emotional Health Sustainability amidst COVID-19 imposed Lockdown -- Industry 4.0 technologies and their applications in fighting Covid-19 -- Internet of Medical Things (IoMT) Enabled TeleCOVID System for Diagnosis of COVID-19 Patients.
520 _aThis book focuses on sustainability issues post COVID-19 outbreak, discusses ways to restrict global spread of the pandemic, and also how to survive holistically in the environment. It also discusses the economic impacts on the world due to the coronavirus outbreak. There is a strong need for monitoring and analysis of pandemics for sustainability like epidemic risk analysis by using pattern recognition or the mental health challenges during an outbreak. This book presents ways to find solutions and gives insights to explore innovative methods and predictive modeling techniques, such that masses are prevented from pandemics.
650 0 _aComputational intelligence.
650 0 _aSustainability.
650 0 _aPublic health.
650 0 _aMedicine, Preventive.
650 0 _aHealth promotion.
650 0 _aArtificial intelligence.
650 0 _aInternet of things.
650 1 4 _aComputational Intelligence.
650 2 4 _aSustainability.
650 2 4 _aPublic Health.
650 2 4 _aHealth Promotion and Disease Prevention.
650 2 4 _aArtificial Intelligence.
650 2 4 _aInternet of Things.
700 1 _aAgrawal, Rashmi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMittal, Mamta.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGoyal, Lalit Mohan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811632266
776 0 8 _iPrinted edition:
_z9789811632280
776 0 8 _iPrinted edition:
_z9789811632297
856 4 0 _uhttps://doi.org/10.1007/978-981-16-3227-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178367
_d178367