2013
DOI: 10.4081/gh.2013.58
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Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

Abstract: Abstract. Soil-transmitted helminths (Ascaris lumbricoides, Trichuris trichiura and hookworm) negatively impact the health and wellbeing of hundreds of millions of people, particularly in tropical and subtropical countries, including Brazil. Reliable maps of the spatial distribution and estimates of the number of infected people are required for the control and eventual elimination of soil-transmitted helminthiasis. We used advanced Bayesian geostatistical modelling, coupled with geographical information syste… Show more

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Cited by 42 publications
(65 citation statements)
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References 37 publications
(45 reference statements)
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“…The univariable inverse association of LST day with infection is consistent with previous research [31, 32]. The likely explanation is that higher soil temperatures lead to desiccation of the soil and the parasite eggs.…”
Section: Discussionsupporting
confidence: 91%
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“…The univariable inverse association of LST day with infection is consistent with previous research [31, 32]. The likely explanation is that higher soil temperatures lead to desiccation of the soil and the parasite eggs.…”
Section: Discussionsupporting
confidence: 91%
“…[31] found a trend towards an inverse association between infection and rainfall, whereas Scholte et al . [32] found rainfall to be a risk factor for T . trichiura infection.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…These models have been widely used in assessing the relationship between helminth infection with demographic, environmental, and socioeconomic predictors, at sub-national [11,18], national [19], or regional scales [13,20,21]. In the Americas, high resolution, geostatistical, model-based risk estimates have been obtained for the whole continent [22] as well as for Brazil [23]. A key issue in geostatistical modelling is the selection of the predictors.…”
Section: Introductionmentioning
confidence: 99%