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écologie des virus influenza aviaires en Camargue - IRD

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Chapitre IIFigure 1: Model outputs for the best estimation of the model on the basis of theepidemiological data. The model which involves water­borne and d<strong>en</strong>sity­dep<strong>en</strong>d<strong>en</strong>ttransmission (black dashed line) shows the better agreem<strong>en</strong>ts with the data (see also Table2). Dashed red lines are confid<strong>en</strong>ce intervals for the observed data. The following parameterswere used (i) d<strong>en</strong>sity­dep<strong>en</strong>d<strong>en</strong>t transmission: = 0.01, (ii) frequ<strong>en</strong>cy­dep<strong>en</strong>d<strong>en</strong>ttransmission: = 100, (iii) water­borne transmission: = 6.73, (iv) continuumtransmission: = 0.9982 and = 273.6289, (v) d<strong>en</strong>sity­dep<strong>en</strong>d<strong>en</strong>t and water­bornetransmission: = 2.85.10­4, = 2.34 and (vi) frequ<strong>en</strong>cy­dep<strong>en</strong>d<strong>en</strong>t and water­bornetransmission: = 100, = 1.27. All these models assume 0% of infectious and recoverednewcomers and c = 0 (see online app<strong>en</strong>dix for more details).80

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