1999
DOI: 10.4269/ajtmh.1999.60.566
|View full text |Cite
|
Sign up to set email alerts
|

Geographic information systems and the environmental risk of schistosomiasis in Bahia, Brazil.

Abstract: Abstract. A geographic information system was constructed using maps of regional environmental features, Schistosoma mansoni prevalence in 30 representative municipalities, and snail distribution in Bahia, Brazil to study the spatial and temporal dynamics of infection and to identify environmental factors that influence the distribution of schistosomiasis. Results indicate that population density and the duration of annual dry period are the most important determinants of prevalence of schistosomiasis in the a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
38
0
4

Year Published

2008
2008
2022
2022

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 70 publications
(46 citation statements)
references
References 16 publications
1
38
0
4
Order By: Relevance
“…Thus, intensity of infection is influenced considerably by the frequency, duration and intensity of human contact with infective water. Spatial studies of schistosomiasis, snail intermediate hosts and water resources have been carried out at both the macrogeographical (world-wide, regional, national and district) (Hunter 1981, Doumenge 1987, Kloos et al 1988, Bavia et al 1994) and microgeographical (community) levels (Kloos et al 1983, Lima e Costa et al 1985, Kloetzel 1989, Barreto 1991. Although they use data of different levels of aggregation and specificity, these two types of study can complement each other.…”
mentioning
confidence: 99%
“…Thus, intensity of infection is influenced considerably by the frequency, duration and intensity of human contact with infective water. Spatial studies of schistosomiasis, snail intermediate hosts and water resources have been carried out at both the macrogeographical (world-wide, regional, national and district) (Hunter 1981, Doumenge 1987, Kloos et al 1988, Bavia et al 1994) and microgeographical (community) levels (Kloos et al 1983, Lima e Costa et al 1985, Kloetzel 1989, Barreto 1991. Although they use data of different levels of aggregation and specificity, these two types of study can complement each other.…”
mentioning
confidence: 99%
“…The use of the geographical information system -or geoprocessing -in planning the fight against and evaluation of the risks of the spread of schistosomiasis has also been the subject of studies in Brazil [26][27][28][29][30] . In general, the results of these studies bring together such diversified parameters such as the characteristics of the vegetation, temperature changes, availability of water collections, occurrence of species of intermediate hosts, as well as the distribution of cases and foci.…”
Section: Discussionmentioning
confidence: 99%
“…Malaria and schistosomiasis, for example, are both environmentally sensitive, vector-borne diseases, which provide striking examples of the steady progress and increasing sophistication in the geospatial health arena (Cross et al, 1984;Bavia et al, 1999;Craig et al, 1999;Clements et al, 2006;Hay et al, 2009;Thomson et al, 2010;Zhou et al, 2010). In 1995, the NASA Ames Center for Health Applications of Aerospace Related Technologies (CHAART) was established by Byron Wood and Louisa Beck, who set about promoting applications in health by way of inhouse research, a small-grants programme and widely publicizing the medical potential of the new technolo-gies through symposia and workshops Wood et al, 2000).…”
Section: Geospatial Technologies and Neglected Tropical Diseases (Ntds)mentioning
confidence: 99%