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Infectious Disease Informatics pp 359–371Cite as

Temporal and Spatial Clustering of Bacterial Genotypes

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Abstract

Genotypic characterization of bacterial isolates provides valuable information for epidemiological surveillance and microbial population biology. In particular, the ability to discern clonal relatedness among isolates can be used to identify links and sites of transmission, some of which are not easily traced using conventional contact investigation. The spatial and temporal clustering of isolates that share the same or closely related genotypes can add further value to the use of molecular fingerprinting in the detection and management of infectious disease outbreaks. This chapter reviews and discusses the use of both spatio-temporal clustering and bacterial genotypes in public health biosurveillance and includes examples of temporal and spatial clustering of bacterial genotypes that allow for the integration of bacterial genotyping into public health decision making.

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Acknowledgments

The author acknowledges substantial contributions from Qinning Wang, Gwendolyn L Gilbert, Vitali Sintchenko and Peter Howard of the Centre for Infectious Diseases and Microbiology, Institute of Clinical Pathology and Medical Research, Sydney West Area Health Service and The University of Sydney. This work was supported by the Australian Research Council.

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Authors and Affiliations

  1. Centre for Health Informatics, University of New South Wales, Sydney, Australia

    Blanca Gallego

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  1. Blanca Gallego
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Editors and Affiliations

  1. Sydney Medical School, University of Sydney, Sydney, 2006, Australia

    Vitali Sintchenko

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Gallego, B. (2010). Temporal and Spatial Clustering of Bacterial Genotypes. In: Sintchenko, V. (eds) Infectious Disease Informatics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1327-2_18

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