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Parasitology|September 7, 2006
Bayesian geostatistical prediction of the intensity of infection with Schistosoma mansoni in East AfricaA C A Clements, R Moyeed, S BrookerEnvironmental Research|June 4, 2010
What measure of temperature is the best predictor of mortality?A G Barnett, S Tong, A C A ClementsSpatial and Spatio-Temporal Epidemiology|July 4, 2012
Estimating the effects of environmental exposures using a weighted mean of monitoring stationsA G Barnett, A C A Clements, P VaneckovaPreventive Veterinary Medicine|August 19, 2005
Bayesian spatio-temporal modelling of national milk-recording data of seasonal-calving New Zealand dairy herdsA C A Clements, D U Pfeiffer, D HayesEpidemiology and Infection|May 8, 2019
Modelling diverse sources of Clostridium difficile in the community: importance of animals, infants and asymptomatic carriersA McLure, A C A Clements, M Kirk, et al.Advances in Parasitology|May 2, 2006
Global epidemiology, ecology and control of soil-transmitted helminth infectionsS Brooker, A C A Clements, D A P BundyThe Journal of Hospital Infection|December 21, 2017
Clostridium difficile classification overestimates hospital-acquired infectionsA McLure, A C A Clements, M Kirk, et al.International Journal for Parasitology|October 9, 2007
Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East AfricaA C A Clements, S Brooker, U Nyandindi, et al.Epidemiology and Infection|November 5, 2014
Spatio-temporal investigation of the 1918 influenza pandemic in military populations indicates two different virusesG D Shanks, G J Milinovich, M Waller, et al.The Journal of Hospital Infection|March 19, 2019
Seasonality and community interventions in a mathematical model of Clostridium difficile transmissionA McLure, L Furuya-Kanamori, A C A Clements, et al.Pageof 3