Risk Areas for the Insertion of Infectious Agents the Implementation of Geoprocessing in Epidemiology
Nancyleni P. Chaves1, Danilo C. Bezerra2, Viviane C.S. Coimbra3, Ana L. Abreu-Silva4

1Dr. Nancyleni P. Chaves, Northeast, Department of Biotechnology Network (RENORBIO), São Luiz, Maranhão, Brazil.
2Dr. Danilo C. Bezerra, Department of Biotechnology, Amazonian Legal Network of Biodiversity and Biotechnology (BIONORTE), São Luiz Maranhão, Brazil.
3Dr. Viviane C.S. Coimbra, Department of Biotechnology, Amazonian Legal Network of Biodiversity and Biotechnology (BIONORTE), São Luiz, Maranhão, Brazil.
4Prof. Ana L. Abreu-Silva, Veterinary, Department of Medicine,, State University of Maranhão (UEMA), São Luiz, Maranhão, Brazil.
Manuscript received on 06 March 2015 | Revised Manuscript received on 26 March 2015 | Manuscript Published on 30 March 2015 | PP: 1-6 | Volume-4 Issue-10, March 2015 | Retrieval Number: J19810341015/15©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. 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 current study aimed at determining risk areas for the insertion of infectious agents by means of geoprocessing techniques. The study was conducted in the cities of Paço do Lumiar, Raposa, São José de Ribamar and São Luís, which are part of the Microregion of Urban Agglomeration in the State of Maranhão. In order to determine these risk areas, a geographic database was developed from the collection, storage and processing of data, using alphanumeric data (information from the questionnaire and data obtained from the State protection agency) and geographic data (georeferenced maps obtained from the protection agency and field research data from a GPS device). With this work, it was possible to identify and map risk areas by the determination of 35 points and 181 livestock properties at higher epidemiological risk. The identification, rating and mapping of these areas will help implementing a more efficient epidemiological surveillance system and show the importance of using geoprocessing in epidemiology.
Keywords: Epidemiological Surveillance, Geotechnologies Infirmities, Maranhão.

Scope of the Article: Bio-Science and Bio-Technology