Summary
Christopher is a Research Associate within the Vaccine Epidemiology Research Group (VERG) in the Department of Infectious Disease Epidemiology. His background is in geographical and environmental sciences with a specialism in geographic information science (GIS).
As a health geographer, his research primarily focuses on the application of GIS-based spatial analysis and geostatistical modelling in epidemiological research. Christopher's current research focus involves developing remote and field based techniques for the environmental surveillance (ES) of pathogenic organisms, with a particular focus on detection of S. Typhi in low-income settings. In addition he also has research interest in the environmental monitoring of SARS-CoV-2 and Aspergillus fumigatus.
Christopher completed his PhD at the University of Glasgow where he investigated the spatio-temporal distribution of human and animal leptospirosis in Northern Tanzania under the supervision of Prof Sarah Cleaveland and Dr Jo Halliday. He also obtained a BSc in Environmental Hazards from the University of Brighton and an MSc in Geographic Information Science and Remote Sensing from the University of Manchester.
Publications
Journals
LeBoa C, Shrestha S, Shakya J, et al., 2023, Environmental sampling for typhoidal Salmonellas in household and surface waters in Nepal identifies potential transmission pathways., Plos Negl Trop Dis, Vol:17
Uzzell CB, Abraham D, Rigby J, et al., 2023, Environmental surveillance for Salmonella Typhi and its association with typhoid fever incidence in India and Malawi, Journal of Infectious Diseases, ISSN:0022-1899
Shaw AG, Troman C, Akello JO, et al., 2023, Defining a research agenda for environmental wastewater surveillance of pathogens, Nature Medicine, Vol:29, ISSN:1078-8956, Pages:2155-2157
Shelton JMG, Rhodes J, Uzzell CB, et al., 2023, Citizen science reveals landscape-scale exposures to multiazole-resistant Aspergillus fumigatus bioaerosols., Science Advances, Vol:9, ISSN:2375-2548, Pages:1-9
Barnes K, Levy J, Andersen K, et al., 2023, Utilizing river and wastewater as a SARS-CoV-2 surveillance tool to predict trends and identify variants of concern in settings with limited formal sewage systems., Res Sq