Analyzing spatiotemporal patterns of COVID-19 in the Philippines

Analyzing spatiotemporal patterns of COVID-19 in the Philippines

Spatiotemporal analysis on the recent Coronavirus disease (COVID-19) pandemic is deemed important in policy-making to alleviate the risks of an outbreak. The data from March 15, 2020 to March 15, 2022 was visualized through choropleth maps. Analysis was done using the Moran’s I statistic, logistic g...

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Bibliographic Details
Main Authors: Bernardo, Luke Matthews Baetiong, Lim, Angelo Lowell Buenavista, Ramos, Mark Christian Doctora
Format: text
Language:English
Published: Animo Repository 2022
Subjects:
COVID-19 (Disease) > Philippines
Statistics
Applied Mathematics
Earth Sciences
Physical Sciences and Mathematics
Online Access:https://animorepository.dlsu.edu.ph/etdb_math/11
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1013&context=etdb_math
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Institution: De La Salle University
Language: English

Internet

https://animorepository.dlsu.edu.ph/etdb_math/11
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1013&context=etdb_math

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