ofi_1059

Spatial Epidemiological Approaches in Disease Mapping and Analysis

Autor(a): Poh-Chin Lai, Fun-Mun So, Ka-Wing Chan

Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries. Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data. Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.

- Introduces basic GIS concepts
- Documents how GIS can be applied in examining disease occurrences from the spatial perspective
- Includes links to freeware so disease occurrence data can be examined for spatial randomness, dependancies, patterns and trends
- Allows foa a variety of downloadable freeware to practice spatial analysis, like GeoDa, CrimeSat, and Health Mapper

Publicação: 2008Edição: 1ISBN: 9781420045468Capa DuraPáginas: 194Formato: 16 x 24 cmIdioma: InglêsEditora: CRC Press

  • R$ 202,003X de R$ 67,33 no cartão
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Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries. Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data. Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.

- Introduces basic GIS concepts
- Documents how GIS can be applied in examining disease occurrences from the spatial perspective
- Includes links to freeware so disease occurrence data can be examined for spatial randomness, dependancies, patterns and trends
- Allows foa a variety of downloadable freeware to practice spatial analysis, like GeoDa, CrimeSat, and Health Mapper

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