Best fit models for apparent raccoon rabies presence per county-month.

Podobne knjige/članki

• County-level maps of raccoon rabies surveillance data, human density, and model predicted likelihood of raccoon rabies presence. Raccoon rabies surveillance varied spatially, with more samples submitted from urban areas and in the north (left). County population density of humans (middle). Average monthly predicted presence of at least one raccoon rabies case per month, where detection is influenced by interactions between latitude and month, as well as latitude and population density; there were also significant effects of temporal lag, spatial lag, and total number of tests conducted (right; Table 1). Note the color scales differ between panels. Analogous figures to the right panel are available for rabies proportion positive and persistence in Fig D in
  od: Matthew Michalska-Smith (10024487)
  Izdano: (2025)
• Significant interaction between latitude and month on the predicted probability of raccoon rabies being detected (presence).
  od: Matthew Michalska-Smith (10024487)
  Izdano: (2025)
• The number and observed proportion positive of raccoon rabies surveillance samples varied seasonally in the north but not in the south.
  od: Matthew Michalska-Smith (10024487)
  Izdano: (2025)
• Significant interaction between latitude and population density on the predicted probability of raccoon rabies being detected (presence).
  od: Matthew Michalska-Smith (10024487)
  Izdano: (2025)
• Favorable raccoon habitat is positively related to raccoon rabies presence at very low levels of favorable habitat per county. The raw data for the amount of favorable raccoon habitat by presence (whether or not a county has at least one positive sample in a given month) is indicated with black points, which are jittered vertically around their binary values to indicate the frequency of counties with those habitat values. Two predicted lines are drawn, an orange one which illustrates the positive relationship between habitat and outcome at low levels of raccoon-favorable habitat (p-value < 0.001), and a blue one illustrating that above a minimum threshold of available raccoon habitat, rabies is nearly equally likely to be detected (p-value = 0.152). While the overall variance explained is low for both low and high levels of habitat coverage, the R² value for habitat coverage less than 16% is nearly 50 times that for habitat values greater than 16%. We find similar result
  od: Matthew Michalska-Smith (10024487)
  Izdano: (2025)