Inter-model comparison of the landscape determinants of vector-borne disease: implications for epidemiological and entomological risk modeling.

ABSTRACT: Extrapolating landscape regression models for use in assessing vector-borne disease risk and other applications requires thoughtful evaluation of fundamental model choice issues. To examine implications of such choices, an analysis was conducted to explore the extent to which disparate landscape models agree in their epidemiological and entomological risk predictions when extrapolated to new regions. Agreement between six literature-drawn landscape models was examined by comparing predicted county-level distributions of either Lyme disease or Ixodes scapularis vector using Spearman ranked correlation. AUC analyses and multinomial logistic regression were used to assess the ability of these extrapolated landscape models to predict observed national data. Three models based on measures of ve

SUBMITTER: Lorenz A 

PROVIDER: S-EPMC4114569 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature