https://socictopen.socict.org/files/original/accca590904a6d4e15934fbdb1678882.pdf 9f88c6b1b25a6f3d819c52efee11b022 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Correlation Between Temperature and COVID-19 (Suspected, Confirmed and Death) Cases based on Machine Learning Analysis Creator An entity primarily responsible for making the resource Ruben Morales-Menendez, Hafiz M. N. Iqbal, Pradeep Kumar Gupta, Fida Hussain, Sultan Ahmad, Mohammad Khubeb Siddiqui, Khudeja Khatoon Description An account of the resource Currently, the whole world is struggling with the biggest health problem COVID-19 name coined bythe World Health Organization (WHO). This was raised from China in December 2019. This pandemicis going to change the world. Due to its communicable nature, it is contagious to both medically andeconomically. Though different contributing factors are not known yet. Herein, an effort has beenmade to find the correlation between temperature and different cases situation (suspected, confirmed,and death cases). For a said purpose, k-means clustering-based machine learning method has beenemployed on the data set from different regions of China, which has been obtained from the WHO.The novelty of this work is that we have included the temperature field in the original WHO data setand further explore the trends. The trends show the effect of temperature on each region in threedifferent perspectives of COVID-19 – suspected, confirmed and death. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource machine learning, coronavirus, K-Means Clustering, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.22207/JPAM.14.SPL1.40 Source A related resource from which the described resource is derived Journal of Pure and Applied Microbiology Publisher An entity responsible for making the resource available Journal of Pure and Applied Microbiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology