New insights into the application of geographical information systems and remote sensing in veterinary parasitology.

Over the past 10-15 years, significant advances have been made in the development and application of geographical information systems (GIS) and remote sensing (RS). In veterinary sciences, particularly in veterinary parasitology, GIS and RS offer powerful means for disease mapping, ecological analysis and epidemiological surveillance and have become indispensable tools for processing, analysing and visualising spatial data. They can also significantly assist with the assessment of the distribution of health-relevant environmental factors via interpolation and modelling. In this review, we first summarize general aspects of GIS and RS, and emphasize the most important applications of these tools in veterinary parasitology, including recent advances in territorial sampling. Disease mapping, spatial statistics, including Bayesian inference, ecological analyses and epidemiological surveillance are summarized in the next section and illustrated with a set of figures. Finally, a set of conclusions is put forward.

[1]  Lawrence Joseph,et al.  Bayesian statistics for parasitologists. , 2004, Trends in parasitology.

[2]  Olaf Berke,et al.  Exploratory disease mapping: kriging the spatial risk function from regional count data , 2004 .

[3]  G Cringoli,et al.  Advances in satellite remote sensing of pheno-climatic features for epidemiological applications. , 2005, Parassitologia.

[4]  Olaf Berke,et al.  Choropleth mapping of regional count data of Echinococcus multilocularis among red foxes in Lower Saxony, Germany. , 2001, Preventive veterinary medicine.

[5]  S. Brooker,et al.  The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections. , 2000, Advances in parasitology.

[6]  P. A. Durr,et al.  Spatial epidemiology and animal disease: introduction and overview. , 2004 .

[7]  S. Randolph Ticks and tick-borne disease systems in space and from space. , 2000, Advances in parasitology.

[8]  J. Cuzick,et al.  Spatial clustering for inhomogeneous populations , 1990 .

[9]  Anthony C. Gatrell,et al.  GIS and spatial analysis in veterinary science. , 2004 .

[10]  I Kleinschmidt,et al.  The Small Area Health Statistics Unit: a national facility for investigating health around point sources of environmental pollution in the United Kingdom. , 1992, Journal of epidemiology and community health.

[11]  M Daniel,et al.  GIS tools for tick and tick-borne disease occurrence , 2004, Parasitology.

[12]  Peter J. Diggle Spatial statistics in the biomedical sciences:Future directions , 2004 .

[13]  Zhi-ying Zhang,et al.  Remote sensing and spatial statistical analysis to predict the distribution of Oncomelania hupensis in the marshlands of China. , 2005, Acta tropica.

[14]  Paul Dekker,et al.  Guest Editors' Preface , 2001, Journal of Semantics.

[15]  I Kleinschmidt,et al.  A spatial statistical approach to malaria mapping. , 2000, International journal of epidemiology.

[16]  Malone Jb Biology-based mapping of vector-borne parasites by Geographic Information Systems and Remote Sensing. , 2005 .

[17]  Nathan Mantel,et al.  A Statistical Problem in Space and Time: Do Leukemia Cases Come in Clusters? , 1964 .

[18]  F M Danson,et al.  Modelling the spatial distribution of Echinococcus multilocularis infection in foxes. , 2004, Acta tropica.

[19]  Philip N. Johnson-Laird,et al.  On the Mode of Communication of Cholera , 1855, Glasgow Medical Journal.

[20]  Guo-Jing Yang,et al.  A growing degree-days based time-series analysis for prediction of Schistosoma japonicum transmission in Jiangsu province, China. , 2006, The American journal of tropical medicine and hygiene.

[21]  J. Bouyer,et al.  Geographical Information Systems in parasitology: a review of potential applications using the example of animal trypanosomosis in West Africa. , 2005, Parassitologia.

[22]  C. Budke,et al.  Modeling the transmission of Echinococcus granulosus and Echinococcus multilocularis in dogs for a high endemic region of the Tibetan plateau. , 2005, International journal for parasitology.

[23]  Allan B. Cox,et al.  An Overview of Geographic Information Systems , 1997 .

[24]  N. Tait,et al.  Resources guide : Software, Data and GisVet Web , 2004 .

[25]  L Rinaldi,et al.  Disease mapping and risk assessment in veterinary parasitology: some case studies. , 2005, Parassitologia.

[26]  Pauline Norris,et al.  Capturing data on medicines usage: the potential of community pharmacy databases. , 2005, The New Zealand medical journal.

[27]  J. Biesemans,et al.  The use of GIS in veterinary parasitology. , 2004 .

[28]  J B Malone,et al.  Use of remote sensing and geographical information systems to identify environmental features that influence the distribution of paramphistomosis in sheep from the southern Italian Apennines. , 2004, Veterinary parasitology.

[29]  Sabha Ganai,et al.  Mapping the rectum: Spatial analysis of transanal endoscopic microsurgical outcomes using GIS technology , 2007, Journal of Gastrointestinal Surgery.

[30]  S. Hay An overview of remote sensing and geodesy for epidemiology and public health application. , 2000, Advances in parasitology.

[31]  P. Burrough Principles of Geographical Information Systems for Land Resources Assessment , 1986 .

[32]  J. Wakefield,et al.  Spatial epidemiology: methods and applications. , 2000 .

[33]  D. Catelan,et al.  Multivariate spatially structured variability of ovine parasitic infections , 2006 .

[34]  Geoffrey M. Jacquez,et al.  Spatial analysis in epidemiology: Nascent science or a failure of GIS? , 2000, J. Geogr. Syst..

[35]  Jürgen Schweikart,et al.  Review New Perspectives on the Use of Geographical Information Systems (gis) in Environmental Health Sciences , 2001 .

[36]  B. Cline,et al.  New eyes for epidemiologists: aerial photography and other remote sensing techniques. , 1970, American journal of epidemiology.

[37]  J. Snow On the Mode of Communication of Cholera , 1856, Edinburgh medical journal.

[38]  A B Lawson,et al.  Bayesian hierarchical modelling to enhance the epidemiological value of abattoir surveys for bovine fasciolosis. , 2005, Preventive veterinary medicine.

[39]  L G STEVENSON,et al.  PUTTING DISEASE ON THE MAP. THE EARLY USE OF SPOT MAPS IN THE STUDY OF YELLOW FEVER. , 1965, Journal of the history of medicine and allied sciences.

[40]  T E Carpenter,et al.  Techniques for analysis of disease clustering in space and in time in veterinary epidemiology. , 2000, Preventive veterinary medicine.

[41]  A Biggeri,et al.  [Statistical models for spatial analysis in parasitology]. , 2004, Parassitologia.

[42]  Christian Ducrot,et al.  Poultry, pig and the risk of BSE following the feed ban in France--a spatial analysis. , 2005, Veterinary research.

[43]  A. C. Gatrell,et al.  The tools of spatial epidemiology: GIS, spatial analysis and remote sensing. , 2004 .

[44]  M. Carranza,et al.  Landscape Change and Ecosystem Classification in a Municipal District of a Small City (Isernia, Central Italy) , 2005, Environmental monitoring and assessment.

[45]  Christoph Staubach,et al.  Statistics and sample design in epidemiological studies of Echinococcus multilocularis in fox populations. , 2003, Acta tropica.

[46]  L. R. Beck,et al.  Perspectives Perspectives Perspectives Perspectives Perspectives Remote Sensing and Human Health: New Sensors and New Opportunities , 2022 .

[47]  G Cringoli,et al.  Geographical Information Systems and on-line GIServices for health data sharing and management. , 2005, Parassitologia.

[48]  P R Burton,et al.  The use of Markov chain Monte Carlo for analysis of correlated binary data: patterns of somatic cells in milk and the risk of clinical mastitis in dairy cows. , 2004, Preventive veterinary medicine.

[49]  M. Goodchild Communicating Geographic Information in a Digital Age , 2000 .

[50]  N Mantel,et al.  Tables and formulas for extended use of the Ederer-Myers-Mantel disease-clustering procedure. , 1976, American journal of epidemiology.

[51]  M. Tanner,et al.  An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni-hookworm coinfection. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[52]  A B Lawson,et al.  Spatial statistical modeling of disease outbreaks with particular reference to the UK foot and mouth disease (FMD) epidemic of 2001. , 2005, Preventive veterinary medicine.

[53]  D. U. Pfeiffer Geographical information science and spatial analysis in animal health. , 2004 .

[54]  F A Barrett,et al.  Finke's 1792 map of human diseases: the first world disease map? , 2000, Social science & medicine.

[55]  S V Subramanian,et al.  Painting a truer picture of US socioeconomic and racial/ethnic health inequalities: the Public Health Disparities Geocoding Project. , 2005, American journal of public health.

[56]  L Rinaldi,et al.  A prevalence survey and risk analysis of filariosis in dogs from the Mt. Vesuvius area of southern Italy. , 2001, Veterinary parasitology.

[57]  S. Scobie Spatial epidemiology: methods and applications , 2003 .

[58]  L Rinaldi,et al.  Neospora caninum in pastured cattle: determination of climatic, environmental, farm management and individual animal risk factors using remote sensing and geographical information systems. , 2005, Veterinary parasitology.

[59]  L Rinaldi,et al.  Is heartworm disease really spreading in Europe? , 2005, Veterinary parasitology.

[60]  U. S. Tim,et al.  The application of GIS in environmental health sciences: opportunities and limitations. , 1995, Environmental research.

[61]  M. Nicholson,et al.  Methods for evaluating Lyme disease risks using geographic information systems and geospatial analysis. , 1996, Journal of medical entomology.

[62]  R. Sethi,et al.  Mosquito Abundance is Correlated with Cliff Swallow (Petrochelidon pyrrhonota) Colony Size , 2002, Journal of medical entomology.

[63]  J. R. Wood,et al.  Habitat preference of coastal Culicoides spp. at Yankeetown, Florida. , 1988, Journal of the American Mosquito Control Association.

[64]  D. Catelan,et al.  Disease mapping in veterinary epidemiology: a Bayesian geostatistical approach , 2006, Statistical methods in medical research.

[65]  J P Gonzalez,et al.  Sizing up human health through remote sensing: uses and misuses. , 2005, Parassitologia.

[66]  B. Chomel,et al.  [Veterinary epidemiology]. , 1991, Revue d'epidemiologie et de sante publique.

[67]  J B Malone,et al.  A cross-sectional coprological survey of liver flukes in cattle and sheep from an area of the southern Italian Apennines. , 2002, Veterinary parasitology.

[68]  Andrea Sciarretta,et al.  Development of an Adaptive Tsetse Population Management Scheme for the Luke Community, Ethiopia , 2005, Journal of medical entomology.

[69]  A Biggeri,et al.  Statistical modelling of the spatial distribution of prevalence of Calicophoron daubneyi infection in sheep from central Italy. , 2005, Parassitologia.

[70]  Allen J. Smith UNCINARIASIS IN TEXAS , 1903 .

[71]  J. Wakefield,et al.  A national facility for small area disease mapping and rapid initial assessment of apparent disease clusters around a point source: the UK Small Area Health Statistics Unit. , 1999, Journal of public health medicine.

[72]  L Gosoniu,et al.  Bayesian modelling of geostatistical malaria risk data. , 2006, Geospatial health.