Integrated disease mapping in a polyparasitic world
Published: 1 May 2007
Abstract Views: 2190
PDF: 1124
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Similar Articles
- Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira, Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach , Geospatial Health: Vol. 6 No. 1 (2011)
- Emmanuel Roux, Annamaria de Fátima Venâncio, Jean-François Girres, Christine A. Romaña, Spatial patterns and eco-epidemiological systems - part I: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors , Geospatial Health: Vol. 6 No. 1 (2011)
- Emmanuel Roux, Annamaria de Fátima Venâncio, Jean-François Girres, Christine A. Romaña, Spatial patterns and eco-epidemiological systems - part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data , Geospatial Health: Vol. 6 No. 1 (2011)
- Jennifer Weisent, Barton Rohrbach, John R. Dunn, Agricola Odoi, Detection of high risk campylobacteriosis clusters at three geographic levels , Geospatial Health: Vol. 6 No. 1 (2011)
- Hassan M. Khormi, Lalit Kumar, Ramze A. Elzahrany, Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study , Geospatial Health: Vol. 6 No. 1 (2011)
- Camilo H. Rotela, Lorena I. Spinsanti, Mario A. Lamfri, Marta S. Contigiani, Walter R. Almiròn, Carlos M. Scavuzzo, Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data , Geospatial Health: Vol. 6 No. 1 (2011)
- Börje Ekstam, Beatha Johansson, Patrik Dinnétz, Patrik Ellström, Predicting risk habitats for the transmission of the small liver fluke, Dicrocoelium dendriticum to grazing ruminants , Geospatial Health: Vol. 6 No. 1 (2011)
- Mathuros Tipayamongkholgul, Sunisa Lisakulruk, Response to Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk , Geospatial Health: Vol. 6 No. 1 (2011)
- Subhash C. Arya, Nirmala Agarwal, Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk , Geospatial Health: Vol. 6 No. 1 (2011)
- Sarah K. Konrad, Scott N. Miller, A temperature-limited assessment of the risk of Rift Valley fever transmission and establishment in the continental United States of America , Geospatial Health: Vol. 6 No. 2 (2012)
You may also start an advanced similarity search for this article.