ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM
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Keywords

Livestock Surveillance, Quadrant, Mato Grosso do Sul

How to Cite

Bezerra de Carvalho Neto, F. ., Zanandreis, F., & Gitti, C. B. (2021). ANIMAL HEALTH SURVEILLANCE BY QUADRANT - A NEW "INTELLIGENT" AGRICULTURAL SURVEILLANCE SYSTEM . Brazilian Journal of Veterinary Medicine, 42(1), e108020. https://doi.org/10.29374/2527-2179.bjvm108020

Abstract

Brazil is the world's greatest beef exporter and Mato Grosso do Sul state is one of the most relevant states of Brazil with utmost importance for animal production. To ensure the health of the animal herd, the Livestock Defense services of all federative units perform securities activities, although not as effective as they should be, following the procedures of the Ministry of Agriculture, Livestock and Supply (MAPA). This study aims to present a brand new health surveillance system established in Mato Grosso do Sul state where each city was mapped in blocks and ranked by hazard levels. An activity planning is carried out in which all city blocks receive livestock defense surveillance. The actions are tracked and registered through GPS devices and the data are assessed by satellites images analyzer software. Therefore, the actions are auditable and the results monthly analyzed for future actions planning. As a result, the surveillance actions ceased to be performed on demand and started to cover not only the areas next to the local office but the entire city areas as well; the registration's and sanitary program's data were updated and activities had become clear and auditable, allowing all actions of the Health Defense services to be controlled and monitored. It is known that, once these actions are implemented in other federative units it may lead to a differential advantage to Brazilian Health Defense Services.

https://doi.org/10.29374/2527-2179.bjvm108020
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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2020 Francisco Bezerra de Carvalho Neto, Franco Zanandreis, Clayton Bernardinelli Gitti