Designing PIGSAFE: Pig Industry Geographic Surveillance and Assessment for Fever Emergencies Against African Swine Fever
Journal Title: International Journal of Experimental Research and Review - Year 2025, Vol 47, Issue 1
Abstract
Outbreaks of the African Swine Fever disease pose serious risks to economic stability, food security, and public health. It has affected countries around the world, including the Philippines. The Philippines has no centralized and real-time application that serves as a data-driven tool that communicates the magnitude of the problem and helps guide public animal health awareness and responses. One of the problems is understanding the risk factors related to ASF and how its presence causes the spread of the disease. Therefore, the management of ASF requires a web-based geographic information system that integrates the different ASF risk factors in mapping the risk and occurrence of ASF disease. This paper presents the design and development of PIGSAFE (Pig Industry Geographical Surveillance and Assessment for Fever Emergencies), a tool for ASF that harnesses the capability of risk assessment and surveillance mapping of pig farms in Echague, Isabela. It includes the ranking of different biosecurity and spatial risk factors, which is very critical in the management of ASF as it is used to get the overall risk level of each pig farm. The web application facilitates the identification of risk levels of different farms and the creation of risk and heat maps that can support decision-making processes and aid in implementing control measures. Rapid Application Development (RAD) method was used in the software development life cycle. It utilizes MapBox in creating GIS functionalities for the ASF disease real-time monitoring, enabling disease incident outbreak reporting and mapping that can aid in targeted interventions. The system's user-friendly interface allows stakeholders to easily access and interact, facilitating data sharing and collaborative decision-making. It, thus, opens the avenues toward the use of web-based GIS technology and its potential in integrating risk assessment to revolutionize animal disease surveillance, whereby proactive ASF disease risk assessment and management can take place.
Authors and Affiliations
Grace Dipiao Bulawit, Thelma Domingo Palaoag, Benjamin Bulawit
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