Literature DB >> 18686232

Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary project.

Màrius V Fuentes1.   

Abstract

Fasciolosis caused by Fasciola hepatica in various South American countries located on the slopes of the Andes has been recognized as an important public health problem. However, the importance of this zoonotic hepatic parasite was neglected until the last decade. Countries such as Peru and Bolivia are considered to be hyperendemic areas for human and animal fasciolosis, and other countries such as Chile, Ecuador, Colombia and Venezuela are also affected. At the beginning of the 1990s a multidisciplinary project was launched with the aim to shed light on the problems related to this parasitic disease in the Northern Bolivian Altiplano. A few years later, a geographic information system (GIS) was incorporated into this multidisciplinary project analysing the epidemiology of human and animal fasciolosis in this South American Andean region. Various GIS projects were developed in some Andean regions using climatic data, climatic forecast indices and remote sensing data. Step by step, all these GIS projects concerning the forecast of the fasciolosis transmission risk in the Andean mountain range were revised and in some cases updated taking into account new data. The first of these projects was developed on a regional scale for the central Chilean regions and the proposed model was validated on a local scale in the Northern Bolivian Altiplano. This validated mixed model, based on both fasciolosis climatic forecast indices and normalized difference vegetation index values from Advanced Very High Resolution Radiometer satellite sensor, was extrapolated to other human and/or animal endemic areas of Peru and Ecuador. The resulting fasciolosis risk maps make it possible to show the known human endemic areas of, mainly, the Peruvian Altiplano, Cajamarca and Mantaro Peruvian valleys, and some valleys of the Ecuadorian Cotopaxi province. Nevertheless, more climate and remote sensing data, as well as more accurate epidemiological reports, have to be incorporated into these GIS projects, which should be considered the key in understanding fasciolosis transmission in the Andes.

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Year:  2006        PMID: 18686232     DOI: 10.4081/gh.2006.281

Source DB:  PubMed          Journal:  Geospat Health        ISSN: 1827-1987            Impact factor:   1.212


  7 in total

Review 1.  Models of macroparasitic infections in domestic ruminants: a conceptual review and critique.

Authors:  G Smith
Journal:  Rev Sci Tech       Date:  2011-08       Impact factor: 1.181

Review 2.  Food-borne trematodiases.

Authors:  Jennifer Keiser; Jürg Utzinger
Journal:  Clin Microbiol Rev       Date:  2009-07       Impact factor: 26.132

3.  Seroprevalence of Human Fascioliasis in Chaharmahal and Bakhtiyari Province, Southwestern Iran.

Authors:  Kouroush Manouchehri Naeini; Farnaz Mohammad Nasiri; Mohammad Bagher Rokni; Soleiman Kheiri
Journal:  Iran J Public Health       Date:  2016-06       Impact factor: 1.429

4.  Spatial analysis and identification of environmental risk factors affecting the distribution of Indoplanorbis and Lymnaea species in semi-arid and irrigated areas of Haryana, India.

Authors:  A K Sangwan; B Jackson; W De Glanville; D U Pfeiffer; K B Stevens
Journal:  Parasite Epidemiol Control       Date:  2016-06-08

Review 5.  Applications of Space Technologies to Global Health: Scoping Review.

Authors:  Damien Dietrich; Ralitza Dekova; Stephan Davy; Guillaume Fahrni; Antoine Geissbühler
Journal:  J Med Internet Res       Date:  2018-06-27       Impact factor: 5.428

6.  New features of fascioliasis in human and animal infections in Ilam province, Western Iran.

Authors:  Jahangir Abdi; Razi Naserifar; Mohammad Rostami Nejad; Vahid Mansouri
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2013

7.  Bioclimatic distribution and prevalence maps for Fasciola hepatica in Espírito Santo State, Brazil.

Authors:  Deivid França Freitas; Isabella Vf Martins; Gleissy Mada Dos Santos; Alexandre R Dos Santos; Daniel da Silva Gomes
Journal:  J Venom Anim Toxins Incl Trop Dis       Date:  2014-07-29
  7 in total

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