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Emma Davis is a Royal Society University Research Fellow in Statistics at the University of Warwick. Her research focuses on the mechanistic modeling and statistical methods to analyze the dynamics of endemic and emerging diseases, particularly in the realm of vector-borne diseases and Neglected Tropical Diseases (NTDs). She is involved in various projects that emphasize the importance of surveillance and elimination strategies for vector-borne infections, especially lymphatic filariasis. Davis employs advanced methods such as stochastic processes, individual-based models, and Bayesian inference to improve outbreak detection and response. Currently, she leads projects like VECTOR-X, aimed at modeling vector-based surveillance for lymphatic filariasis, and explores new data-driven approaches to assess the cost-effectiveness of xeno-monitoring for classifying elimination and resurgence risks. Her collaboration with national public health programs and active engagement in the JUNIPER network enhances her contributions to infectious disease epidemiology through innovative modeling approaches and outreach activities, including online courses.
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.