Spread Mapping of Covid-19 in Morocco Using Geospatial Approach

dc.creatorLayati, Elhoucein
dc.creatorOuigmane, Abdellah
dc.creatorAlves, Marcelo de Carvalho
dc.creatorMurugesan, Bagyaraj
dc.creatorGhachi, Mohamed El
dc.date.accessioned2021-10-01T20:37:09Z
dc.date.available2021-10-01T20:37:09Z
dc.date.issued2020
dc.description.abstractMost of the people infected in Morocco are triggered by the outbreak of COVID-19. The number of affected cases is currently rising day by day. As of July 16 th , 2020, In Morocco, 15,165 cases were tested positive for COVID-19, including 239 deaths and 11,417 patients cured the highest number of Corona virus cases reported as Ministry of Health Department in Morocco. The COVID-19 virus threatens the health, economy, development and social life of individuals. The city needs to be conscious of the fight against this epidemic. GIS technology has played an important role in many aspects, including geospatial perception, geostatistical simulation and spatial knowledge enabling decision-making, mitigation and prediction including COVID-19. GIS has evolved reasonably rapidly and has a full technical route for data processing, modeling and map creation. However, in the battle against the popular endemic, the key challenge is to find ways of controlling conventional technological methods and to increase the quality and accuracy of the knowledge provided for social management. As a consequence, IDW and computational approaches are used to forecast potential cases in the region. Prediction of different parameters existing confirmed events, death and recovery of COVID-19. See reports have been used to take proactive measures in order to penetrate regions. The suggested method of understanding is effective within a certain context and would be a valuable tool for both governments and health authorities.pt_BR
dc.identifier.citationLAYATI, E. et al. Spread Mapping of Covid-19 in Morocco Using Geospatial Approach. Journal of Geographical Studies, [S. I.], v. 4, n. 1, p. 35-43, 2020. DOI: 10.21523/gcj5.20040104.pt_BR
dc.identifier.urihttps://repositorio.ufla.br/handle/1/48306
dc.identifier.urihttps://doi.org/10.21523/gcj5.20040104pt_BR
dc.languageenpt_BR
dc.publisherGatha Cognitionpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceJournal of Geographical Studiespt_BR
dc.subjectCovid-19pt_BR
dc.subjectGeographic Information System (GIS)pt_BR
dc.subjectInverse Distance Weighted (IDW)pt_BR
dc.subjectSpatial Distributionpt_BR
dc.subjectSistema de Informação Geográfica (SIG)pt_BR
dc.subjectInverso da Distância Ponderada (IDP)pt_BR
dc.subjectDistribuição espacialpt_BR
dc.titleSpread Mapping of Covid-19 in Morocco Using Geospatial Approachpt_BR
dc.typeArtigopt_BR

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