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Table 3 Model results for association between diversity of entire sampled avian community and seroprevalence rates. Results from a negative binomial generalized liner mixed model (GLMM) assessing the effects of host seroprevalence or vector infection rate, avian diversity, and microhabitat type on host seroprevalence or vector infection rate from animals captured in urban Atlanta, GA, USA, 2010–2011, while controlling for year and site block. This model considered the diversity of the entire recorded avian community and seroprevalence rates from all sampled avian species

From: Avian species diversity and transmission of West Nile virus in Atlanta, Georgia

Variable: Coefficient Estimate Std. error Z–value Pr(>|z|)
  (Intercept) -5.73 4.56 -1.26 0.21
Culex infection July-September MIR -0.09 0.13 -0.69 0.49
Avian diversity Shannon-Wiener Index 3.39 1.68 2.01 0.04*
Habitata Forest -2.05 0.70 -2.91 < 0.01**
Woods -0.24 0.56 -0.42 0.68
Res. 1.16 0.50 2.31 0.02*
  (Intercept) -0.25 2.70 -0.09 0.93
Avian seroprevance July-October HY seroprevalence < -0.01 0.01 -0.58 0.56
Avian diversity Shannon-Wiener Index 0.63 0.99 0.63 0.53
Habitata Forest 0.03 0.44 0.08 0.94
Woods -0.29 0.51 -0.57 0.57
Res. 0.26 0.47 0.55 0.58
  1. *P < 0.05; **P < 0.01
  2. aCoefficient estimates are shown relative to the Water habitat type