Provincial animal health monitoring system and geospatial analysis in the Province of Laguna

What is it about?

This study aims to establish a system for monitoring, analyzing and visualizing animal health data within the municipalities/cities in Laguna. It integrates data from the Provincial Veterinary Office, to create a centralized database of animal health information. The study utilizes Geospatial Analysis integrating Google Maps API and Leaflet to map disease occurrence in the exact location, the level of severity of reported cases, and spatial layers representing the province's geographical features. By overlaying these layers, spatial relationships and trends can be identified, aiding in locating high-risk areas and implementing appropriate control measures. The results of the geospatial analysis provide valuable insights into the distribution of animal diseases per species, the actual distribution of reported positive cases per city/municipality and yearly and monthly cases monitoring. the Iterative model was used as its methodology and involved users and consumers in the development process. Based on the annual monitoring of cases from 2016 to the first quarter of 2023, there was a significant increase in reported cases in 2018 with a total of 5097 cases, and a similar outbreak occurred in 2022 with 2084 reported cases. Furthermore, when examining the monthly cases, December exhibited the highest monthly rate, indicating an occurrence of 4273 positive cases during that period. In terms of cases distributed per municipality/city, Calauan, Laguna accounted for 3797 positive cases, while Victoria, Laguna had 2115 positive cases. Ducks were reported as the species with the highest number of cases.

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Photo by Christopher Gower on Unsplash

Photo by Christopher Gower on Unsplash