Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS
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Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS
Kumar, Lalit; Khormi, Hassan M.
Taylor & Francis Ltd
03/2021
262
Mole
Inglês
9781138597235
15 a 20 dias
480
Descrição não disponível.
Introduction. Modelling and Simulating the Prevalence of Vector-Borne Diseases Around the World and Efforts for Combat and Control. Cartographies and Maps of Vector-Borne Diseases. Spatial Data. Common Spatial Methods for Modelling and Analyzing Spatial and Temporal Patterns and Distributions of Mosquito-Borne Diseases. Spatial Variation Risk. Modelling Associations between Mosquito-Borne Diseases and Environmental and Socioeconomic Factors. Global Climate Change and Modelling the Potential Distribution of Vector-Borne Disease. Conclusion.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Dengue Fever Cases;Mosquito Borne Diseases;Geographic Information Systems;Dengue Fever;Climate Change;Potential Future Distribution;Epidemiologically Relevant Spatial Data;Aedes Aegypti;Vector Distributions;DHF;Topology;Mosquitoborne Diseases;Georeferencing;GWR;Spatial Referencing;IDW Technique;Aggregating Geographic Data;Empirical Semivariogram;Spatial Data Acquisition;Dengue Fever Prevalence;Satellite Imagery Mosquito-Borne Diseases;A2 SRES;Pattern Analysis;MR Model;Distribution Analysis;Data Sets;Spatial Variation Risk;Aedes Mosquito;Density Analysis;Suitable Climatic Conditions;Interpolation;Spatial Data;Dengue Disease;Vectorborne Diseases;CLIMEX;Point Pattern Analysis;Climatic Models;Triatomine Bugs;GIS Software;SAR Model;Spatial Clustering Pattern;IDW Method;Insecticide Treated Bed Nets
Introduction. Modelling and Simulating the Prevalence of Vector-Borne Diseases Around the World and Efforts for Combat and Control. Cartographies and Maps of Vector-Borne Diseases. Spatial Data. Common Spatial Methods for Modelling and Analyzing Spatial and Temporal Patterns and Distributions of Mosquito-Borne Diseases. Spatial Variation Risk. Modelling Associations between Mosquito-Borne Diseases and Environmental and Socioeconomic Factors. Global Climate Change and Modelling the Potential Distribution of Vector-Borne Disease. Conclusion.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Dengue Fever Cases;Mosquito Borne Diseases;Geographic Information Systems;Dengue Fever;Climate Change;Potential Future Distribution;Epidemiologically Relevant Spatial Data;Aedes Aegypti;Vector Distributions;DHF;Topology;Mosquitoborne Diseases;Georeferencing;GWR;Spatial Referencing;IDW Technique;Aggregating Geographic Data;Empirical Semivariogram;Spatial Data Acquisition;Dengue Fever Prevalence;Satellite Imagery Mosquito-Borne Diseases;A2 SRES;Pattern Analysis;MR Model;Distribution Analysis;Data Sets;Spatial Variation Risk;Aedes Mosquito;Density Analysis;Suitable Climatic Conditions;Interpolation;Spatial Data;Dengue Disease;Vectorborne Diseases;CLIMEX;Point Pattern Analysis;Climatic Models;Triatomine Bugs;GIS Software;SAR Model;Spatial Clustering Pattern;IDW Method;Insecticide Treated Bed Nets
