Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7525344 | Public Health | 2018 | 9 Pages |
Abstract
Gonorrhea rates were distributed unevenly through space and time and affected by various sociodemographic variables. The space-time scan statistics and spatial panel regression are viable tools for identifying clusters and examining determinants of gonorrhea rates. The findings provide valuable implications for developing targeted prevention and control programs in public health practice.
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Authors
Wen-ting Cao, Rui Li, Ju-ying Ying, Xiao-li Chi, Xiao-dong Yu,