Showing results (331-340 of 838) with videos related to

Sort By:
Pageof 84
Geospatial Health|May 18, 2019
Modelling youth pregnancy in continental Portugal through geographically weighted regressionJoão David, Pedro Cabral
Geospatial Health|June 4, 2014
Mapping and modelling the geographical distribution of soil-transmitted helminthiases in Peninsular Malaysia: implications for control approachesRomano Ngui, Aziz Shafie, Kek H Chua, et al.
Geospatial Health|June 4, 2014
Retrospective and spatial analysis tools for integrated surveillance of cystic echinococcosis and bovine cysticercosis in hypo-endemic areasRudi Cassini, Paolo Mulatti, Claudia Zanardello, et al.
Geospatial Health|June 4, 2014
Cluster detection of diseases in heterogeneous populations: an alternative to scan methodsRebeca Ramis, Diana Gómez-Barroso, Gonzalo López-Abente
Geospatial Health|June 4, 2014
The physical environment and health-enhancing activity during the school commute: global positioning system, geographical information systems and accelerometryDavid McMinn, Nicolas M Oreskovic, Matt J Aitkenhead, et al.
Geospatial Health|April 1, 2015
Mapping and modelling helminth infections in ruminants in Europe: experience from GLOWORMLaura Rinaldi, Guy Hendrickx, Giuseppe Cringoli, et al.
Geospatial Health|April 1, 2015
Modelling recent and future climatic suitability for fasciolosis in EuropeCyril Caminade, Jan van Dijk, Matthew Baylis, et al.
Geospatial Health|April 1, 2015
The basic reproduction quotient (Q0) as a potential spatial predictor of the seasonality of ovine haemonchosisMuhammad-Bashir Bolajoko, Hannah Rose, Vincenzo Musella, et al.
Geospatial Health|October 4, 2012
Modelling the ecological niche of hookworm in Brazil based on climateNtombi B Mudenda, John B Malone, Michael T Kearney, et al.
Geospatial Health|October 4, 2012
SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessmentsDesmond H Foley, Richard C Wilkerson, L Lynnette Dornak, et al.
Pageof 84