Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS
Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS
Khormi, Hassan M.; Kumar, Lalit
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.
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Dengue Fever Cases;dengue;Mosquito Borne Diseases;fever;Dengue Fever;cases;Potential Future Distribution;Aedes Aegypti;mosquito-borne;DHF;aedes;Mosquitoborne Diseases;aegypti;GWR;vectorborne;IDW Technique;rift;Empirical Semivariogram;valley;land;Dengue Fever Prevalence;A2 SRES;MR Model;Data Sets;Aedes Mosquito;Suitable Climatic Conditions;Spatial Data;Vectorborne Diseases;Point Pattern Analysis;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;dengue;Mosquito Borne Diseases;fever;Dengue Fever;cases;Potential Future Distribution;Aedes Aegypti;mosquito-borne;DHF;aedes;Mosquitoborne Diseases;aegypti;GWR;vectorborne;IDW Technique;rift;Empirical Semivariogram;valley;land;Dengue Fever Prevalence;A2 SRES;MR Model;Data Sets;Aedes Mosquito;Suitable Climatic Conditions;Spatial Data;Vectorborne Diseases;Point Pattern Analysis;Triatomine Bugs;GIS Software;SAR Model;Spatial Clustering Pattern;IDW Method;Insecticide Treated Bed Nets