Literature DB >> 1626889

Use of LANDSAT MSS imagery and soil type in a geographic information system to assess site-specific risk of fascioliasis on Red River Basin farms in Louisiana.

J B Malone1, D P Fehler, A F Loyacano, S H Zukowski.   

Abstract

A geographic information system (GIS) was constructed in an ERDAS environment using maps of soil types from the USDA Soil Conservation Service, LANDSAT satellite multispectral scanner data (MSS), boundaries for 25 study farms, and slope and hydrologic features shown in a two-quadrangle (USGS, 7.5') area in the Red River Basin near Alexandria, Louisiana. Fecal sedimentation examinations were done in the fall of 1989, spring of 1990, and fall and winter of 1990-1991 on 10-16 random samples per herd. Fecal egg shedding rates for F. hepatica ranged from 10-100% prevalence and 0.3-21.7 eggs per two grams of feces (EP2G). For Paramphistomum spp., a rumen fluke also transmitted by F. bulimoides but not affected by flukicides, egg shedding rates ranged from 10-91% prevalence and 0.1-42.8 EP2G. Soil types present ranged from sandy loams to hydric, occasionally flooded clays. Herd Paramphistomum spp. egg shedding rates increased with the proportion of hydric clays present, adjusted for slope and major hydrologic features. F. hepatica infection intensity followed a similar trend, but were complicated by differing treatment practices. Results suggest that earth observation satellite data and soil maps can be used, with an existing climate forecast based on the Thornthwaite water budget, to develop a second generation model that accounts for both regional climate variation and site-specific differences in fascioliasis risk based on soils prone to snail habitat.

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Year:  1992        PMID: 1626889     DOI: 10.1111/j.1749-6632.1992.tb19667.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  4 in total

Review 1.  New geographical approaches to control of some parasitic zoonoses.

Authors:  K E Mott; I Nuttall; P Desjeux; P Cattand
Journal:  Bull World Health Organ       Date:  1995       Impact factor: 9.408

Review 2.  On epidemiology and geographic information systems: a review and discussion of future directions.

Authors:  K C Clarke; S L McLafferty; B J Tempalski
Journal:  Emerg Infect Dis       Date:  1996 Apr-Jun       Impact factor: 6.883

Review 3.  Climate Change and the Neglected Tropical Diseases.

Authors:  Mark Booth
Journal:  Adv Parasitol       Date:  2018-03-28       Impact factor: 3.870

4.  Using remotely sensed data to identify areas at risk for hantavirus pulmonary syndrome.

Authors:  G E Glass; J E Cheek; J A Patz; T M Shields; T J Doyle; D A Thoroughman; D K Hunt; R E Enscore; K L Gage; C Irland; C J Peters; R Bryan
Journal:  Emerg Infect Dis       Date:  2000 May-Jun       Impact factor: 6.883

  4 in total

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