Space-Time Cluster Analysis of Invasive Meningococcal Disease
Copyright policy )Space-Time Cluster Analysis of Invasive Meningococcal Disease
Clusters are recognized when meningococcal cases of the same phenotypic strain (markers: serogroup, serotype, and subtype) occur in spatial and temporal proximity. The incidence of such clusters was compared to the incidence that would be expected by chance by using space-time nearest-neighbor analysis of 4,887 confirmed invasive meningococcal cases identified in the 9-year surveillance period 1993-2001 in the Netherlands. Clustering beyond chance only occurred among the closest neighboring cases (comparable to secondary cases) and was small (3.1%, 95% confidence interval 2.1%-4.1%).
- University of Amsterdam Netherlands
- Amsterdam UMC Netherlands
- National Institute for Public Health and the Environment Netherlands
outbreak, secondary cases, Research, invasive meningococcal disease, R, Infectious and parasitic diseases, RC109-216, Neisseria meningitidis, Disease Outbreaks, Meningococcal Infections, Population Surveillance, Space-Time Clustering, Medicine, Humans, space-time analysis, cluster analysis, Netherlands
outbreak, secondary cases, Research, invasive meningococcal disease, R, Infectious and parasitic diseases, RC109-216, Neisseria meningitidis, Disease Outbreaks, Meningococcal Infections, Population Surveillance, Space-Time Clustering, Medicine, Humans, space-time analysis, cluster analysis, Netherlands
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