Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3611
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dc.contributor.authorNor, A.N.M.en_US
dc.contributor.authorJAMIL, R.M.en_US
dc.contributor.authorHasifah Abdul Azizen_US
dc.contributor.authorAbas, M.A.en_US
dc.contributor.authorHambali, K.A.en_US
dc.contributor.authorHassin, N.H.en_US
dc.contributor.authorKarim, M.F.A.en_US
dc.contributor.authorNawawi, S.A.en_US
dc.contributor.authorAmir A.en_US
dc.contributor.authorAmaludin, N.A.en_US
dc.contributor.authorIbrahim, N.en_US
dc.contributor.authorYusoff A.H.en_US
dc.contributor.authorMalek, NHAen_US
dc.contributor.authorRafaai, NHen_US
dc.contributor.authorHatta, SKMen_US
dc.contributor.authorGrafius, Den_US
dc.date.accessioned2022-12-06T09:03:27Z-
dc.date.available2022-12-06T09:03:27Z-
dc.date.issued2022-
dc.identifier.issn2071-1050-
dc.identifier.urihttp://hdl.handle.net/123456789/3611-
dc.descriptionWeb of Scienceen_US
dc.description.abstractKota Bharu city in Kelantan, Malaysia was reported with the highest cases of coronavirus disease 2019 (COVID-19) among other districts. Kota Bharu is the capital city of Kelantan, which acts as the administrative, commercial, and financial areas. A large population pool may become a potential carrier for disease transmission to become an epidemic. However, the impact of population density on the COVID-19 outbreak in Malaysia is still unknown and undiscovered. Therefore, this study investigates the impact of population density on COVID-19 as a potential virus transmission carrier using linear regression models. The chances of formulating new strategies for combating COVID-19 are higher when the driver of transmission potential is identified. This study shows that the highest value of infected area density is in Kota Bharu (0.76), while the infected risk area was highest in Jeli (0.33). This study found that there is a strong relationship between COVID-19 infection cases in Kelantan and population density (R-2 which is 0.845). Therefore, high population density was identified as a potential driver of transmission of COVID-19 outbreak. Understanding the potential drivers of the disease in a local setting is very important for better preparation and management. The outcome of the study can aid in the development of a new analytical model for strategic planning of Zero COVID-19 for securing the public health and wellness, both social and economic, by researchers, scientists, planners, resource managers, and decision-makers.en_US
dc.publisherMDPIen_US
dc.relation.ispartofSustainabilityen_US
dc.subjectspatial distributionen_US
dc.subjectCOVID-19 model mapen_US
dc.subjectpopulation densityen_US
dc.titleSpatial Distribution of COVID-19 Infected Cases in Kelantan, Malaysiaen_US
dc.typeInternationalen_US
dc.identifier.doi10.3390/su142114150-
dc.description.page1-14en_US
dc.volume14(21)en_US
dc.description.typeArticleen_US
dc.description.impactfactor3.889en_US
dc.description.quartileQ2en_US
dc.contributor.correspondingauthor amalnajihah@umk.edu.myen_US
item.grantfulltextopen-
item.openairetypeInternational-
item.fulltextWith Fulltext-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUNIVERSITI MALAYSIA KELANTAN-
Appears in Collections:Faculty of Earth Science - Journal (Scopus/WOS)
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