Methodology to Identify, Analyze, Classify and Monitor the Reintroduction Risk Points of Foot-and-Mouth Disease
Viviane C. S. Coimbra1, Nancyleni P. Chaves2, Sebastião V. Coimbra Neto3, Alcina V. De Carvalho Neta4
1Viviane C. S. Coimbra, Doctor Degree Student, Department of Biotechnology, Amazonian Legal Network of Biodiversity and Biotechnology (BIONORTE), São Luiz, Maranhão, Brazil.
2Prof. Nancyleni P. Chaves, Veterinary Medicine School, State University of Maranhão (UEMA), São Luiz, Maranhão, Brazil.
3Sebastião V. Coimbra Neto, Specialization student in Sanitary Engineering, Engineering School, Maranhão State University (UEMA), São Luiz, Maranhão, Brazil.
4Prof. Alcina V. de Carvalho Neta, Molecular Pathology Laboratory, Maranhão State University (UEMA), São Luiz, Maranhão, Brazil.
Manuscript received on December 04, 2016. | Revised Manuscript received on December 11, 2016. | Manuscript published on December 15, 2016. | PP: 19-25 | Volume-4 Issue-8, December 2016. | Retrieval Number: G1015094716/2016©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The aim of the current study is to develop a methodology able to identify, classify and monitor the reintroduction risk points of foot-and-mouth disease (FMD) in order to support an epidemiology monitoring system. The study was conducted in Maranhão State. The methodology was developed in six stages, namely: i) identifying the reintroduction risk points of foot-and-mouth disease; (ii) assessing the risk per identified point; iii) classifying the risk points; iv) analyzing the spatial distribution of risk points; v) identifying livestock properties under the highest epidemiological risk in comparison to the identified risk points; and vi) systematizing the model used to monitor risk points and livestock properties under the highest epidemiological risk. It was possible identifying and mapping possible points of introduction and/or dissemination of vesicular diseases in 2013 (917 points), 2014 (943 points) and 2015 (886 points). Three hundred and twenty-seven (36.91%) out of the 886 points identified in 2015 were classified as of low risk; 55.87% (n = 495), as of medium risk; and 7.22% (n = 64), as of high risk. The identified points were monitored on a monthly basis, as indicated for the herein assessed risk level, and it totaled 5,021; 5,382 and 5,441 inspections, respectively. Livestock properties under the highest epidemiological risk were also identified, and it totaled 2,894 properties in 2013; 3,057, in 2014; and 3,159, in 2015. These properties were inspected every six months, and it totaled 2,240; 2,294 and 2,353 inspections, respectively. It was concluded that the methodology enables epidemiologically monitoring the reintroduction risk points of Foot-and-Mouth Disease through risk analysis and geoprocessing in association with classic methods.
Keywords: Epidemiology, Foot-and-mouth disease, Risk analysis, Geoprocessing.