Modelling interactions between vector-borne diseases and environment using GIS / Hassan M. Khormi and Lalit Kumar.
Material type:
- 9781482227383 (hardback)
- 000SB:614.4 23 K45
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 000SB:614.4 K45 (Browse shelf(Opens below)) | Available | 136838 |
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000SB:614.4 C734 Dynamical biostatistical models / | 000SB:614.4 Em54 Medical biostatistics for complex diseases / | 000SB:614.4 K37 Case-control studies / | 000SB:614.4 K45 Modelling interactions between vector-borne diseases and environment using GIS / | 000SB:614.4 L415 Statistical epidemiology / | 000SB:614.4 Sh524 Spatio-temporal methods in environmental epidemiology / | 000SB:614.4 T974 Applied longitudinal data analysis for epidemiology : |
Includes bibliographical references amd index.
1. Introduction --
2. Modelling and simulating the prevalence of vector-borne diseases around the world and efforts for combat and control --
3. Cartographies and maps of vector-borne diseases --
4. Spatial data --
5. Common spatial methods for modelling and analysing spatial and temporal patterns and distributions of mosquito-borne diseases --
6. Spatial variation risk --
7. Modelling associations between mosquito-borne diseases and environmental and socioeconomic factors --
8. Global climate change and modelling the potential distribution of vector-borne disease --
9. Conclusion --
Index.
The book exposes readers to information on how to identify vector hotspots, determine when and where they can occur, and eliminate vector breeding sites. Utilizing simple illustrations based on real data, as well as the authors’ more than 20 years of experience in the field, this text combines key spatial analysis techniques available in modern GIS with real-world applications. It offers step-by-step instruction on developing vector-borne disease risk models at different spatial and temporal scales and helps practitioners formulate disease causation hypotheses and identify areas at risk. In addition, it addresses medical geography, GIS, spatial analysis, and modelling, and covers other factors related to the spread of vector-borne diseases.
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