pntd.0009806.g002.tif (1.28 MB)
Model-averaged point estimates and 95% confidence intervals for association between infection outcomes and each component of risk.
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posted on 2021-10-05, 17:31 authored by Andrea J. Lund, Susanne H. Sokolow, Isabel J. Jones, Chelsea L. Wood, Sofia Ali, Andrew Chamberlin, Alioune Badara Sy, M. Moustapha Sam, Nicolas Jouanard, Anne-Marie Schacht, Simon Senghor, Assane Fall, Raphael Ndione, Gilles Riveau, Giulio A. De Leo, David López-CarrTop: Associations between S. haematobium infection presence and components of risk are estimated by logistic regression and measured with odds ratios. Bottom: Association between S. haematobium infection intensity and components of risk are estimated by negative binomial regression and measured with rate ratios. In both panels, indices of exposure (E) are represented by black triangles, indices of hazard (H) by turquoise circles, indices of vulnerability (V) by blue squares and demographic control variables (D) by orange diamonds.
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three interrelated componentsnegative binomial regressions59 &# 821113 villages alonginfectious disease riskimply risk unlesscollected parasitological dataexposure (&# 425schistosoma haematobium haematobium survey dataecological dataxlink ">using multisenegal riverrr 2positive associationoften tiednorthern senegalmodel inferenceincreasing reliancehinder reductionshazardous activitiesfit mixedfindings underscoreexposure occursexplanatory variableseffects logisticdemographic variablesdaily activitieschildren residedapproach highlightsalso presentaged children=97 ),91 ).821 school77 ).411 households
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