Atlas of disease distributions : analytic approaches to epidemiological data

書誌事項

Atlas of disease distributions : analytic approaches to epidemiological data

Andrew D. Cliff and Peter Haggett

(Blackwell reference)

Basil Blackwell, 1992

  • : pbk

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注記

Bibliography: p. 279-291

Includes indexes

"First published in paperback 1992"

内容説明・目次

内容説明

This is an atlas of the changing world and regional distribution of disease, based on primary and historical research. Covering diseases both past and present, it shows the distribution of various diseases in specific parts of the world through a series of related maps and diagrams, and employs a range of approaches to the mapping and statistical analysis of medical data. Both static cross-sections and time-based maps are used. It presents a spatial analysis of the spread of AIDS in an epidemiological context, charts the demise of smallpox, shows the spread and control of numerous major diseases including measles, and maps and analyzes radiation hazards such as the fallout from the Chernobyl disaster.

目次

Chapter 1: Mapping problems: Introduction/ Basic cartography/ Probability maps/ Map generalization/ Maps and hypotheses/ Other topics Chapter 2: Data Sources and problems: Introduction/ Statistical data/ Standardization problems/ Missing data problems Chapter 3: Spatial cross-sections: Introduction/ Infectious and parasitic diseases/ Neoplasms/ Diseases of the circulatory system/ Diseases of the respiratory system/ Congenital anomalies/ Injury and poisoning Chapter 4: Time-Series: Introduction/ Time-series components/ Long-term trends in morality in Iceland/ Seasonal Components/ Other cyclical components/ Discontinuities in time-series: vaccination impact Chapter 5: Space-Time methods: Introduction/ Cartographic methods/ Disease spread as a wave process/ Time-series comparisons/ Other topics Chapter 6: Spatial Dynamics of Epidemics: Four contrasting epidemic diseases (AIDS, Smallpox, Influenza, Measles) Chapter 7: Future Maps: Introduction/ Map transformations/ Mapping and Modelling.

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