Literature DB >> 11974633

Geographical information systems as a tool in epidemiological assessment and wildlife disease management.

D U Pfeiffer1, M Hugh-Jones.   

Abstract

Geographical information systems (GIS) facilitate the incorporation of spatial relationships into epidemiological investigations of wildlife diseases. Consisting of data input, management, analysis and presentation components, GIS act as an integrative technology in that a range of very varied data sources can be combined which describe different aspect of the environment of wild animals. The analytical functionality of GIS is still evolving, and ranges from visual to exploratory and modelling methods. Output generated by GIS in map format has the particular advantage of allowing implicit representation of spatial dependence relationships in an intuitive manner. The technology is becoming an essential component of modern disease surveillance systems.

Mesh:

Year:  2002        PMID: 11974633     DOI: 10.20506/rst.21.1.1330

Source DB:  PubMed          Journal:  Rev Sci Tech        ISSN: 0253-1933            Impact factor:   1.181


  6 in total

Review 1.  Macroparasite infections of amphibians: what can they tell us?

Authors:  Janet Koprivnikar; David J Marcogliese; Jason R Rohr; Sarah A Orlofske; Thomas R Raffel; Pieter T J Johnson
Journal:  Ecohealth       Date:  2012-07-19       Impact factor: 3.184

2.  Spatial and genetic epidemiology of hookworm in a rural community in Uganda.

Authors:  Rachel L Pullan; Narcis B Kabatereine; Rupert J Quinnell; Simon Brooker
Journal:  PLoS Negl Trop Dis       Date:  2010-06-15

3.  Spatial analysis of Crimean Congo hemorrhagic fever in Iran.

Authors:  Ehsan Mostafavi; AliAkbar Haghdoost; Sahar Khakifirouz; Sadegh Chinikar
Journal:  Am J Trop Med Hyg       Date:  2013-10-28       Impact factor: 2.345

4.  A serosurvey for selected pathogens in Greek European wild boar.

Authors:  A Touloudi; G Valiakos; L V Athanasiou; P Birtsas; A Giannakopoulos; K Papaspyropoulos; C Kalaitzis; C Sokos; C N Tsokana; V Spyrou; L Petrovska; C Billinis
Journal:  Vet Rec Open       Date:  2015-08-28

5.  High-resolution maps of Swiss apiaries and their applicability to study spatial distribution of bacterial honey bee brood diseases.

Authors:  Raphael S von Büren; Bernadette Oehen; Nikolaus J Kuhn; Silvio Erler
Journal:  PeerJ       Date:  2019-01-31       Impact factor: 2.984

6.  A novel method for detecting extra-home range movements (EHRMs) by animals and recommendations for future EHRM studies.

Authors:  Todd C Jacobsen; Kevyn H Wiskirchen; Stephen S Ditchkoff
Journal:  PLoS One       Date:  2020-11-30       Impact factor: 3.240

  6 in total

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