SPATIAL STRUCTURE AND CLIMATIC ASSOCIATIONS WITH COVID-19 CASES ACROSS THE GLOBE

Olanrewaju Lawal () and Anyiam Emeka ()
Additional contact information
Olanrewaju Lawal: University of Port Harcourt, Postal: University of Port Harcourt, Port Harcourt, Nigeria, http://www.uniport.edu.ng/
Anyiam Emeka: University of Port Harcourt, Postal: Centre for Health & Development, University of Port Harcourt, Port Harcourt, Nigeria, http://www.uniport.edu.ng/

Journal of Tourism, Sustainability and Well-being, 2021, vol. 9, issue 2, 75-90

Abstract: The study examined the spatial structure and the association between COVID-19 cases and selected climatic variables. Data on cases, deaths, recovery were obtained from the COVID-19 Resources website of the Environmental Systems Research Institute (ESRI). The climatic variables were selected included Land Surface Temperature (LST) and Water Vapour (WV) and collated from the NASA Earth Observations (NEO). Spatial and inferential statistics were used to examine spatial autocorrelation and associations with these variables. Results show that China, Italy, and Iran have the largest number of confirmed cases, the highest recovery (81%) was recorded in China. Confirmed cases have 7 clusters and 2 outlier locations. There are 21 and 17 spatial outliers for recoveries and deaths respectively. There are 2 natural clusters of the incidences and 98.7% of the locations belong to one of the groups. A weak but statistically significant (P

Keywords: COVID-19; Spatial Clustering; Pandemic; Spatial Autocorrelation; Climatic Variables (search for similar items in EconPapers)
JEL-codes: I18 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.cieo.pt/journal/J_2_2021/article1.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ris:jspord:1030

Access Statistics for this article

Journal of Tourism, Sustainability and Well-being is currently edited by Patrícia Pinto

More articles in Journal of Tourism, Sustainability and Well-being from Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve University of Algarve, Faculty of Economics, Campus de Gambelas, 8005-139 Faro, Portugal, Coordinator of the Centre: Prof. Patrícia Pinto, E-mail: pvalle@ualg.pt. Contact information at EDIRC.
Bibliographic data for series maintained by Silvia Fernandes ().