@article{(Open Science Index):https://publications.waset.org/pdf/10012054,
	  title     = {Bayesian Geostatistical Modelling of COVID-19 Datasets},
	  author    = {I. Oloyede},
	  country	= {},
	  institution	= {},
	  abstract     = {The COVID-19 dataset is obtained by extracting weather, longitude, latitude, ISO3666, cases and death of coronavirus patients across the globe. The data were extracted for a period of eight day choosing uniform time within the specified period. Then mapping of cases and deaths with reverence to continents were obtained. Bayesian Geostastical modelling was carried out on the dataset. The study found out that countries in the tropical region suffered less deaths/attacks compared to countries in the temperate region, this is due to high temperature in the tropical region.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {15},
	  number    = {5},
	  year      = {2021},
	  pages     = {78 - 81},
	  ee        = {https://publications.waset.org/pdf/10012054},
	  url   	= {https://publications.waset.org/vol/173},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 173, 2021},
	}