Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

Geospatial Health

Volumn 8, Issue 1, 2013, Pages 97-110

  Scholte, Ronaldo G C ^a,b,c   Schur, Nadine ^a,b   Bavia, Maria E ^d   Carvalho, Edgar M ^d   Chammartin, Frédérique ^a,b   Utzinger, Jürg ^a,b   Vounatsou, Penelope ^a,b  

^a SWISS TROPICAL AND PUBLIC HEALTH INSTITUTE   (Switzerland)

^b UNIVERSITY OF BASEL   (Switzerland)

^c INSTITUTO OSWALDO CRUZ   (Brazil)

^d FEDERAL UNIVERSITY OF BAHIA   (Brazil)

Author keywords

Bayesian modelling; Brazil; Geographical information system; Remote sensing; Soil transmitted helminths; Variable selection

Indexed keywords

ANIMAL; ARTICLE; ASCARIASIS; ASCARIS LUMBRICOIDES; BAYES THEOREM; BRAZIL; GEOGRAPHIC INFORMATION SYSTEM; HELMINTHIASIS; HOOKWORM; HOOKWORM INFECTION; HUMAN; PARASITOLOGY; POVERTY; PREVALENCE; REMOTE SENSING; RISK FACTOR; SOIL; SPATIAL ANALYSIS; TRICHURIASIS; TRICHURIS;

ANCYLOSTOMATOIDEA; ANIMALS; ASCARIASIS; ASCARIS LUMBRICOIDES; BAYES THEOREM; BRAZIL; GEOGRAPHIC INFORMATION SYSTEMS; HELMINTHIASIS; HOOKWORM INFECTIONS; HUMANS; POVERTY AREAS; PREVALENCE; REMOTE SENSING TECHNOLOGY; RISK FACTORS; SOIL; SPATIAL ANALYSIS; TRICHURIASIS; TRICHURIS;

EID: 84891906790     PISSN: 18271987     EISSN: 19707096     Source Type: Journal    
DOI: 10.4081/gh.2013.58     Document Type: Article

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