pntd.0009712.s006.xlsx (12.03 kB)
Infection presence models for S. haematobium.
dataset
posted on 2021-09-27, 17:32 authored by Isabel J. Jones, Susanne H. Sokolow, Andrew J. Chamberlin, Andrea J. Lund, Nicolas Jouanard, Lydie Bandagny, Raphaël Ndione, Simon Senghor, Anne-Marie Schacht, Gilles Riveau, Skylar R. Hopkins, Jason R. Rohr, Justin V. Remais, Kevin D. Lafferty, Armand M. Kuris, Chelsea L. Wood, Giulio De LeoInfection presence (binomial GLMM) model results for S. haematobium, comparing models that integrated non-emergent vegetation coverage in nearshore extents (1 m to 5 m sampling radii) and offshore extents (45 m to 120 m sampling radii). All predictors were centered and scaled. Bolded p-values represent statistically significant factors.
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much greater radiusenvironmental factors drivingdiv >< p16 villages locateddifferent spatial extentsconsider different ecologicalschistosome parasites infectspatial sampling radiusbiomphalaria pfeifferi senegal river basinschistosoma haematobium shore also contributespatial distributionshaematobium snail samplingecological driversschistosome speciesmansoni bulinus snail habitatsingle speciesshape characteristicsseparately evaluatedschistosome infectionsaharan africarenewed importanceregion hyperendemicpositively correlatedpeople mayone speciesglobal burdenfirst analyzedfindings highlightdemographic variablescould varyalso associated>, respectively
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