Studying the global distribution of infectious diseases using GIS and RS.
about
Global trends in emerging infectious diseasesA dynamic analysis of tuberculosis dissemination to improve control and surveillanceGlobal traffic and disease vector dispersalPredicting outbreaks: a spatial risk assessment of West Nile virus in British ColumbiaUse of Mapping and Spatial and Space-Time Modeling Approaches in Operational Control of Aedes aegypti and DengueLarge-scale spatial population databases in infectious disease researchGeographic distribution and risk factors of the initial adult hospitalized cases of 2009 pandemic influenza A (H1N1) virus infection in mainland ChinaA test of agent-based models as a tool for predicting patterns of pathogen transmission in complex landscapes.Pathogen-host associations and predicted range shifts of human monkeypox in response to climate change in central Africa.Climate change and public health policy: translating the science.The Eye of the Tiger, the Thrill of the Fight: Effective Larval and Adult Control Measures Against the Asian Tiger Mosquito, Aedes albopictus (Diptera: Culicidae), in North America.Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data.Insight into global mosquito biogeography from country species records.Georeferenced data in epidemiologic research.Spatial risk assessments based on vector-borne disease epidemiologic data: importance of scale for West Nile virus disease in ColoradoThe worldwide airline network and the dispersal of exotic species: 2007-2010.Challenges in developing methods for quantifying the effects of weather and climate on water-associated diseases: A systematic reviewGeographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern ChinaThe application of epidemiology in aquatic animal health -opportunities and challenges.Climate, landscape, and the risk of orbivirus exposure in cattle in Illinois and western Indiana.The Atlas of human African trypanosomiasis: a contribution to global mapping of neglected tropical diseasesAn integrated approach for risk profiling and spatial prediction of Schistosoma mansoni-hookworm coinfection.Biogeographical region and host trophic level determine carnivore endoparasite richness in the Iberian Peninsula.Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South AmericaLongitudinal analysis of tick densities and Borrelia, Anaplasma, and Ehrlichia infections of Ixodes ricinus ticks in different habitat areas in The NetherlandsGeographical information systems and health: current state and future directions.Spatial Distribution of Phlebotomus argentipes (Diptera: Psychodidae) in Eastern India, a Case Study Evaluating Multispatial Resolution Remotely Sensed Environmental Evidence and Microclimatic Data.Ecological niche modeling of Coccidioides spp. in western North American deserts.EpiScanGIS: an online geographic surveillance system for meningococcal disease.A geographical sampling method for surveys of mosquito larvae in an urban area using high-resolution satellite imagery.Global mapping of infectious disease.Climate and tick seasonality are predictors of Borrelia burgdorferi genotype distribution.Exploring the spatio-temporal dynamics of reservoir hosts, vectors, and human hosts of West Nile virus: a review of the recent literatureA comprehensive approach to risk assessment and surveillance guiding public health interventions.Abiotic determinants to the spatial dynamics of dengue fever in Guangzhou.Ecological niche modeling of lyme disease in British Columbia, Canada.Effectiveness of mosquito traps in measuring species abundance and composition.Virtual globes: the web-wide world.Global Positioning System: a new tool for measurement of animal bites in a rural area near Bangalore, South India.A comparison of weather variables linked to infectious disease patterns using laboratory addresses and patient residence addresses.
P2860
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P2860
Studying the global distribution of infectious diseases using GIS and RS.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
2003年论文
@zh
2003年论文
@zh-cn
name
Studying the global distribution of infectious diseases using GIS and RS.
@ast
Studying the global distribution of infectious diseases using GIS and RS.
@en
type
label
Studying the global distribution of infectious diseases using GIS and RS.
@ast
Studying the global distribution of infectious diseases using GIS and RS.
@en
prefLabel
Studying the global distribution of infectious diseases using GIS and RS.
@ast
Studying the global distribution of infectious diseases using GIS and RS.
@en
P2860
P356
P1476
Studying the global distribution of infectious diseases using GIS and RS.
@en
P2093
David J Rogers
Sarah E Randolph
P2860
P2888
P304
P356
10.1038/NRMICRO776
P407
P577
2003-12-01T00:00:00Z
P5875
P6179
1000488425