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Fig. 1 | Movement Ecology

Fig. 1

From: How do non-independent host movements affect spatio-temporal disease dynamics? Partitioning the contributions of spatial overlap and correlated movements to transmission risk

Fig. 1

A The relative contribution of non-independent movements compared to spatial overlap on FOI (CSR(x)), as calculated by equation 5, for varying probabilities of following the leader \(p_f\). The different color lines show different values of \(n_p\), where the area of transmission relative to the area in which social decisions to follow the leader are made is \(1 / n_p\). The dashed line shows a relative contribution of 1, meaning that non-independent host movements and spatial overlap contribute equally to FOI. B The effect of non-independent host movements as given by \(p_f\) on \(R_0\) in an SIR model (equation 6). The y-axis shows the increase in \(R_0\) relative to an equivalent SIR model where \(p_f = 0\) and hosts are completely uncorrelated in their movements and space use and are moving randomly in space (i.e., mass-action transmission). \(N_h\) is the number of equally sized patches on the landscape that hosts move between

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Movement Ecology

ISSN: 2051-3933