Analyzing spatiotemporal patterns of COVID-19 in the Philippines

• Main Authors: Bernardo, Luke Matthews Baetiong, Lim, Angelo Lowell Buenavista, Ramos, Mark Christian Doctora
• 格式: text
• 語言: English
• 出版: Animo Repository 2022
• 主題: COVID-19 (Disease) > Philippines; Statistics; Applied Mathematics; Earth Sciences; Physical Sciences and Mathematics
• 在線閱讀: https://animorepository.dlsu.edu.ph/etdb_math/11; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1013&context=etdb_math
• 機構: De La Salle University

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...