Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91734
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorAbdel-Aal, MAMen_US
dc.creatorEltoukhy, AEEen_US
dc.creatorNabhan, MAen_US
dc.creatorAlDurgam, MMen_US
dc.date.accessioned2021-12-01T00:55:02Z-
dc.date.available2021-12-01T00:55:02Z-
dc.identifier.issn0944-1344en_US
dc.identifier.urihttp://hdl.handle.net/10397/91734-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectCOVID-19en_US
dc.subjectCoronavirusen_US
dc.subjectClimate indicatorsen_US
dc.subjectCorrelation testsen_US
dc.subjectTemperatureen_US
dc.subjectDew pointen_US
dc.subjectHumidityen_US
dc.subjectWind speeden_US
dc.subjectPressureen_US
dc.titleImpact of climate indicators on the COVID-19 pandemic in Saudi Arabiaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1007/s11356-021-17305-9en_US
dcterms.abstractThe novel coronavirus (COVID-19) outbreak has left a major impact on daily lifestyle and human activities. Many recent studies confrmed that the COVID-19 pandemic has human-to-human transmissibility. Additional studies claimed that other factors afect the viability, transmissibility, and propagation range of COVID-19. The efect of weather factors on the spread of COVID-19 has gained much attention among researchers. The current study investigates the relationship between climate indicators and daily detected COVID-19 cases in Saudi Arabia, focusing on the top fve cities with confrmed cases. The examined climate indicators were temperature (°F), dew point (°F), humidity (%), wind speed (mph), and pressure (Hg). Using data from Spring 2020 and 2021, we conducted spatio-temporal correlation, regression, and time series analyses. The results provide preliminary evidence that the COVID-19 pandemic spread in most of the considered cities is signifcantly correlated with temperature (positive correlation) and pressure (negative correlation). The discrepancies in the results from diferent cites addressed in this study suggest that non-meteorological factors need to be explored in conjunction with weather attributes in a sufciently long-term analysis to provide meaningful policy measures for the future.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationEnvironmental science and pollution research, 2021, Online first, https://doi.org/10.1007/s11356-021-17305-9en_US
dcterms.isPartOfEnvironmental science and pollution researchen_US
dcterms.issued2021-
dc.identifier.eissn1614-7499en_US
dc.description.validate202111 bcvcen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1078-n01-
dc.identifier.SubFormID43887-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusEarly releaseen_US
dc.date.embargo0000-00-00 (to be updated)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 0000-00-00 (to be updated)
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