M. E. Craft

Effects of Food Supplementation and Helminth Removal on Space Use and Spatial Overlap in Wild Rodent Populations

This study examines how food supplementation and helminth removal affect space use and spatial overlap in bank voles, finding that food reduces space use while helminth removal increases it, with seasonal and demographic variations.

Paradoxes and synergies: optimizing management of a deadly virus in an endangered carnivore

This study uses simulations to evaluate FeLV management strategies in Florida panthers, finding that proactive vaccination can paradoxically increase mortalities due to imperfect immunity, but combining it with reactive strategies improves outbreak control.

Transmission of one predicts another: Apathogenic proxies for transmission dynamics of a fatal virus

The paper uses apathogenic FIV transmission data to predict pathogenic FeLV transmission dynamics in Florida panthers, showing comparable accuracy to traditional methods.

Host relatedness and landscape connectivity shape pathogen spread in a large secretive carnivore

The paper examines how urbanization affects pathogen spread in pumas by analyzing landscape variables and host gene flow in two contrasting regions.

A mechanistic, stigmergy model of territory formation in asocial animals: Territorial behavior can dampen disease prevalence but increase persistence

This paper develops a mechanistic model of territory formation in asocial animals, showing that territoriality can reduce disease prevalence but increase persistence under certain conditions.

Population-Level Disease Dynamics Reflect Individual Heterogeneities in Transmission

The paper integrates experimental data on host heterogeneity with epidemiological simulations to show how individual differences in social behavior, infectiousness, and infection duration affect disease transmission at the population level.

How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure

This paper develops a machine learning framework to predict pathogen exposure in wild lions using ecological data, finding non-linear patterns and variable interactions that improve predictive performance.