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A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties

Mohammad Moosazadeh, Pouya Ifaei, Amir Saman Tayerani Charmchi, Somayeh Asadi, ChangKyoo Yoo

2022Sustainable Cities and Society26 citationsDOIOpen Access PDF

Topics & Concepts

Vulnerability (computing)PovertyTimelinePandemicCoronavirus disease 2019 (COVID-19)Case fatality rateGovernment (linguistics)GeographyPopulationVulnerability assessmentEconomic growthDemographyComputer sciencePsychological interventionEconomicsComputer securityMedicineSociologyInfectious disease (medical specialty)PsychiatryPhilosophyArchaeologyPathologyLinguisticsDiseaseCOVID-19 epidemiological studiesCOVID-19 Pandemic ImpactsCOVID-19 impact on air quality
A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties | Litcius