Track: Case Studies

Abstract

The CoVid-19 virus caused a global crisis as it rapidly spread around the world. Cebu City in the Philippines reported the highest number of CoVid-19 cases in May 2020. This study has focused on the said city to identify the significant factors that contribute to the vulnerability of the city's barangays to CoVid-19 infection. Eleven factors were evaluated using multiple linear regression analysis and results showed that among the factors, only two were found to be significant on the barangay level, the residential housing type, and the barangay income. High building densities increase the probability of interaction among residents which heightens the risk of transmitting the virus. Moreover, poor communities or barangays are at a higher exposure due to the residents' lack of resources and need to seek labor. Further studies on reducing the vulnerability of communities to CoVid-19 and employing a similar study in other cities, adding various factors, and utilizing the latest data on infection rates are suggested. Vulnerability assessment may also be done on an aggregated level such as individual or household to generate more accurate results.