Spatial modelling of disease using data- and knowledge-driven approaches.
about
The global distribution and burden of dengueAdvances and Limitations of Disease Biogeography Using Ecological Niche ModelingProspects and recommendations for risk mapping to improve strategies for effective malaria vector control interventions in Latin AmericaQuantitative assessment of a spatial multicriteria model for highly pathogenic avian influenza H5N1 in Thailand, and application in CambodiaThe global distribution of Crimean-Congo hemorrhagic feverVisualization and analytics tools for infectious disease epidemiology: a systematic reviewParticipatory Risk Mapping of Malaria Vector Exposure in Northern South America using Environmental and Population Data.Mapping risk of leptospirosis in China using environmental and socioeconomic data.Landscape, Environmental and Social Predictors of Hantavirus Risk in São Paulo, Brazil.Risk of African swine fever introduction into the European Union through transport-associated routes: returning trucks and waste from international ships and planes.Mapping risk of plague in Qinghai-Tibetan Plateau, China.A multi-criteria decision analysis approach to assessing malaria risk in northern South America.Modelling the distribution and transmission intensity of lymphatic filariasis in sub-Saharan Africa prior to scaling up interventions: integrated use of geostatistical and mathematical modelling.Influenza A H5N1 and H7N9 in China: A spatial risk analysis.Global mapping of infectious disease.Spatial multi-criteria decision analysis to predict suitability for African swine fever endemicity in Africa.Identification of Visceral Leishmaniasis-Susceptible Areas using Spatial Modelling in Southern Caucasus.An Alternative Vaccination Approach for The Prevention of Highly Pathogenic Avian Influenza Subtype H5N1 in The Red River Delta, Vietnam -A Geospatial-Based Cost-Effectiveness Analysis.An Integrated Framework for Environmental Multi-Impact Spatial Risk Analysis.Hydrological features and the ecological niches of mammalian hosts delineate elevated risk for Ross River virus epidemics in anthropogenic landscapes in Australia.Global Positioning System: a new tool for measurement of animal bites in a rural area near Bangalore, South India.Climatic influence on anthrax suitability in warming northern latitudes.Modeling and mapping the burden of disease in Kenya.
P2860
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P2860
Spatial modelling of disease using data- and knowledge-driven approaches.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Spatial modelling of disease using data- and knowledge-driven approaches.
@ast
Spatial modelling of disease using data- and knowledge-driven approaches.
@en
Spatial modelling of disease using data- and knowledge-driven approaches.
@nl
type
label
Spatial modelling of disease using data- and knowledge-driven approaches.
@ast
Spatial modelling of disease using data- and knowledge-driven approaches.
@en
Spatial modelling of disease using data- and knowledge-driven approaches.
@nl
prefLabel
Spatial modelling of disease using data- and knowledge-driven approaches.
@ast
Spatial modelling of disease using data- and knowledge-driven approaches.
@en
Spatial modelling of disease using data- and knowledge-driven approaches.
@nl
P1476
Spatial modelling of disease using data- and knowledge-driven approaches.
@en
P2093
Kim B Stevens
P304
P356
10.1016/J.SSTE.2011.07.007
P577
2011-07-19T00:00:00Z