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Peer-reviewed veterinary case report

Disease mapping and risk assessment in veterinary parasitology: some case studies.

Journal:
Parassitologia
Year:
2005
Authors:
Cringoli, G et al.
Affiliation:
Dipartimento di Patologia e Sanit&#xe0 · Italy

Plain-English summary

This research discusses how new technologies like Geographic Information Systems (GIS) and Remote Sensing (RS) are being used to study diseases caused by parasites in animals. These tools help scientists understand where and when these diseases occur, especially in areas affected by human activity. They can create maps that show where parasites are likely to be found, how the environment influences their spread, and help in planning ways to control these diseases. Overall, the study highlights the importance of using these advanced methods to improve our understanding of animal health and disease management.

Abstract

Disease mapping and risk assessment are important tasks in the area of medical and veterinary epidemiology. The development of methods for mapping diseases has progressed considerably in recent years. Geographical Information Systems (GIS), Remote Sensing (RS), and Spatial Analysis represent new tools for the study of epidemiology, and their application to parasitology has become more and more advanced, in particular to study the spatial and temporal patterns of diseases. The present review highlights the usefulness of GIS and RS in veterinary parasitology in order to better know the epidemiology of parasite organisms, causing either snail/arthropod borne diseases or direct transmissible diseases, mostly in small areas with a strong impact by man. It demonstrates the potential of these technologies to serve as effective tools for: data capture, mapping and analysis for the development of descriptive parasitological maps; studying the environmental features that influence the distribution of parasites; predicting parasite occurrence/seasonality based on their environmental requirements and as decision support for disease intervention; and surveillance and monitoring of animal diseases.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/16044673/