This paper focuses on the problem of detecting ageographical cluster with the most severe status in multiple groups of populations with the consideration of limited medical resources. In an early stage of a disease, an outbreak may only be present in some specific population group. Therefore, to efficiently detect the outbreak, specific groups need to be particularly monitored and evaluated. The objective of detection as the most severe cluster (MSC) is defined. Considering interaction among population groups, a multivariate normal scan statistic is proposed. The method is applied to an example of lung cancer in New York State to detect the MSC with a high mortality rate at the aggregate level.
JIANG Wei1, SHEN Xiao-bei2, TSUNG Fugee3
. Application of Multivariate Normal Scan Statistic to Most Severe Cluster of Local Diseases[J]. Journal of Shanghai University, 2014
, 20(3)
: 274
-280
.
DOI: 10.3969/j.issn.1007-2861.2014.02.012
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