Abstract
Geographic information system (GIS) is a computer application system, which possesses the ability of manipulating spatial information and has been used in many fields related with the spatial information management. Many methods and models have been established for analyzing animal diseases distribution models and temporal-spatial transmission models. Great benefits have been gained from the application of GIS in animal disease epidemiology. GIS is now a very important tool in animal disease epidemiological research. Spatial analysis function of GIS can be widened and strengthened by using spatial statistical analysis, allowing for the deeper exploration, analysis, manipulation and interpretation of spatial pattern and spatial correlation of the animal disease. In this paper, we analyzed the cow anthrax spatial distribution characteristics in the target district A (due to the secret of epidemic data we call it district A) based on the established GIS of the cow anthrax in this district in combination of spatial statistical analysis and GIS. The Cow anthrax is biogeochemical disease, and its geographical distribution is related closely to the environmental factors of habitats and has some spatial characteristics, and therefore the correct analysis of the spatial distribution of anthrax cow for monitoring and the prevention and control of anthrax has a very important role. However, the application of classic statistical methods in some areas is very difficult because of the pastoral nomadic context. The high mobility of livestock and the lack of enough suitable sampling for the some of the difficulties in monitoring currently make it nearly impossible to apply rigorous random sampling methods. It is thus necessary to develop an alternative sampling method, which could overcome the lack of sampling and meet the requirements for randomness. The GIS computer application software ArcGIS9.1 was used to overcome the lack of data of sampling sites.Using ArcGIS 9.1 and GEODA to analyze the cow anthrax spatial distribution of district A. we gained some conclusions about cow anthrax’ density: (1) there is a spatial clustering model. (2) there is an intensely spatial autocorrelation. We established a prediction model to estimate the anthrax distribution based on the spatial characteristic of the density of cow anthrax. Comparing with the true distribution, the prediction model has a well coincidence and is feasible to the application. The method using a GIS tool facilitates can be implemented significantly in the cow anthrax monitoring and investigation, and the space statistics - related prediction model provides a fundamental use for other study on space-related animal diseases.
Chapter PDF
Similar content being viewed by others
References
Busgeeth, K., et al.: The use of a spatial information system in the management of HIV/AIDS in South Africa. International Journal of Health Geographics 3, 13 (2004)
Glass, G.E., Schwartz, B.S., Morgan III, J.M., Johnson, D.T., Noy, P.M., Israel, E.: Environmental risk factors for Lyme disease identified with geographic information systems. Am. J. Public Health 85, 944–948 (1995)
Beck, L.R., Rodrigues, M.H., Dister, S.W., Rodrigues, A.D., Rejmankova, E., Ulloa, A., et al.: Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. Am. J. Trop. Med. Hyg. 51, 271–280 (1994)
Richards Jr., F.O.: Use of geographic information systems in control programs for onchocerciasis in Guatemala. Bull. Pan. Am. Health Organ. 27, 52–55 (1993)
Clarke, K.C., Osleeb, J.R., Sherry, J.M., Meert, J.P., Larsson, R.W.: The use of remote sensing and geographic information systems in UNICEF’s dracunculiasis (Guinea worm) eradication effort. Prev. Vet. Med. 11, 229–235 (1991)
Braddock, M., Lapidus, G., Cromley, E., Cromley, R., Burke, G., Branco, L.: Using a geographic information system to understand child pedestrian injury. Am. J. Public Health 84, 1158–1161 (1994)
Barnes, S., Peck, A.: Mapping the future of health care: GIS applications in Health care analysis. Geographic Information systems 4, 31–33 (1994)
Wartenberg, D., Greenberg, M., Lathrop, R.: Identification and characterization of populations living near high-voltage transmission lines: a pilot study. Environ. Health Perspect 101, 626–632 (1993)
Wartenberg, D.: Screening for lead exposure using a geographic information system. Environ. Res. Dec. 59, 310–317 (1992)
Ruiz, M.O., Tedesco, C., McTighe, T.J.: Connie Austin and Uriel Kitron. International Journal of Health Geographics 3, 8 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 IFIP
About this paper
Cite this paper
Li, L. et al. (2010). Monitoring Method of Cow Anthrax Based on Gis and Spatial Statistical Analysis. In: Li, D., Zhao, C. (eds) Computer and Computing Technologies in Agriculture III. CCTA 2009. IFIP Advances in Information and Communication Technology, vol 317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12220-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-12220-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12219-4
Online ISBN: 978-3-642-12220-0
eBook Packages: Computer ScienceComputer Science (R0)