The development of powerful computing environment and the geographical information system (GIS) in recent decades has thrust the analysis of geo-referenceddisease incidence data into the mainstream of spatial epidemiology. This bookoffers a modern perspective on statistical methods for detecting disease clustering, an indispensable procedure to find a statistical evidence on aetiologyof the disease under study. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Furthermore, the research area of statistical methods for disease clustering now attracts a wide audience due to the perceived need to implement wide-ranging monitoring systems to detect possible health-relatedevents such as the occurrence of the severe acute respiratory syndrome (SARS), pandemic influenza and bioterrorism. As an invaluable resource for a wide range of audience including public health researchers, epidemiologists and biostatistians, this book features: A concise introduction to basic concepts of disease clustering/clusters A historical overview of methods for disease clustering A detailed treatment of selected methods useful for practical investigationof disease clustering Analysis and illustration of methods for a variety of real data sets. Historical overview of methods for disease clustering Detailed treatment of selected methods useful for practical investigation of disease clustering Analysis and illustration of methods for a variety of real data sets INDICE: Introduction.- Clustering and clusters.- Disease mapping: Visualization of spatial clustering.- Tests for temporal clustering.- General tests for spatial clustering: Regional count data.- General tests for spatial clustering: Case-control point data.- Tests for space-time clustering.- Focused tests for spatial clustering.- Space-time scan statistics.
- ISBN: 978-1-4419-1571-9
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 246
- Fecha Publicación: 01/04/2010
- Nº Volúmenes: 1
- Idioma: Inglés