Variable importance in the Boosted regression tree model at the 1st administrative level.

Variable importance calculated with median projected FOI as the response variable. (XLSX)

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Bibliographic Details
Main Author:	Sean M. Moore (8114876) (author)
Other Authors:	Erica Rapheal (21807811) (author), Sandra Mendoza Guerrero (6668096) (author), Natalie E. Dean (3328797) (author), Steven T. Stoddard (7400696) (author)
Published:	2025
Subjects:	Medicine Genetics Neuroscience Biotechnology Evolutionary Biology Cancer Science Policy Infectious Diseases Virology Computational Biology Mathematical Sciences not elsewhere classified effective treatment options trial site selection trial &# 8217 several candidate vaccines published seroprevalence studies g ., age st </ sup nd </ sup reinfection among seropositive different assumptions regarding several aspects extrapolated age baseline seroprevalence vaccine trial xlink "> west africa target population southern guinea sierra leone serostatus ), seronegative individuals seasonal variability rodent hosts priority disease modeling framework highly sensitive go unreported death reports clear understanding administrative units
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Variable importance in the Boosted regression tree model at the 1<sup>st</sup> administrative level.