Date of Completion
2021
Document Type
Thesis
Degree Name
Bachelor of Science in Pharmacy
Keywords
COVID-19, Spatio-Temporal Analysis
Abstract
The study used descriptive correlational research design. Using purposive sampling technique, Information on 153 COVID-19 cases reported from April 6 to December 31, 2020 were collated from the Municipal Epidemiology Surveillance Unit (MESU) of San Juan. QGIS methods were applied in analyzing the transmission of cases. Prior to regression analysis, principal cluster analysis (PCA) and hierarchical cluster analysis (HCA) were performed to determine the similarity among variables. Descriptive and inferential statistics were employed to further measure the influence of various demographic, geographic, and epidemiological factors to the prevalence of infection. The study concluded that the lockdown and travel restrictions had a significant role in containing the infection in SJB. Data showed that highly dense areas were hotspots of COVID-19 infection. In addition, mapping provided a clearer and easier way to assess patterns of disease spread. This could contribute to a more rapid community response to the pandemic.
First Advisor
Timothy Bengala, RPh
APA Citation
Cervera, A. J., Cortaga, W. H., Esplago, A. E., & Lozano, M. A. (2021). Responding to the pandemic: spatiotemporal analysis of COVID-19 spread in San Juan, Batangas. [Bachelor's thesis, De La Salle Medical and Health Sciences Institute]. GreenPrints. https://greenprints.dlshsi.edu.ph/bsp/51/