Research Degree Student
Katherine Horton earned a BSc in Mathematical Sciences from Clemson University in 2005 and an MPH in Global Epidemiology from Emory University in 2007. During her MPH studies, Katherine completed a research fellowship with the International Centre for Diarrhoeal Disease Research, Bangladesh, where she studied care-seeking behaviour for acute respiratory infections among children under two years of age in Dhaka.
Katherine has worked with the Rwanda Zambia HIV Research Group at Emory University, first supporting field sites from the group’s home office in the United States and subsequently managing data and clinical components of cohort studies and clinical trials at field sites in Rwanda and Zambia. Prior to joining the London School of Hygiene and Tropical Medicine, she spent four years with the U.S. Centers for Disease Control and Prevention's Global Disease Detection Regional Center at U.S. Naval Medical Research Unit No. 3 in Egypt. There she studied acute respiratory infections, sexually transmitted infections, and emerging zoonotic diseases in Egypt and Djibouti, while also supporting capacity building and outbreak response across North and West Africa, the Middle East and Central Asia.
Katherine has lead or assisted on practical sessions for Analysis and Design of Research Studies, Epidemiology and Control for Communicable Diseases, and Basic Maths.
Katherine's current research focuses on gender inequity in tuberculosis burden and access to care. She has completed a systematic review highlighting that men carry a higher burden of disease than women, often with less access to timely diagnosis and treatment. She is now using mathematical modelling to investigate the impact of these gender inequities on disease transmission and to identify and evaluate opportunities for effective intervention.
Katherine is affiliated with the TB Modelling Group, a multidisciplinary group of mathematical modellers and epidemiologists using mathematical and statistical models to better understand the natural history and epidemiology of tuberculosis and to improve the contribution of TB modelling to policy decisions and implementation.