pntd.0009806.s007.xlsx (16.91 kB)
Presence models.
dataset
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-CarrFull set of candidate models used for multi-model inference of the relative contributions of exposure, hazard, and vulnerability to S. haematobium infection presence.
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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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