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• W2956665664 abstract "Abstract Plague, a devastating infectious disease caused by Yersinia pestis , has killed millions of people in the past and is still active in the natural foci of the world today. Understanding the spatiotemporal patterns of plague outbreaks in history is critically important, as it may help to facilitate prevention and control of potential future outbreaks. In this study, we explored spatiotemporal clusters of human plague occurrences in China using a machine‐learning clustering method and reconstructed the potential transmission pattern during the Third Pandemic (1772–1964). We succeeded in identifying 6 clusters in the space domain (2D) and 13 clusters in the spatiotemporal domain (3D). Our results suggest that there were several temporal outbreaks and transmissions of plague in different spatial clusters. Together with the spatiotemporal nearest neighbor approach (ST‐NNA), this method could allow us to have a clearer look at the spatiotemporal patterns of plague." @default.
• W2956665664 created "2019-07-23" @default.
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• W2956665664 date "2020-01-01" @default.
• W2956665664 modified "2023-09-27" @default.
• W2956665664 title "Identifying the spatiotemporal clusters of plague occurrences in China during the Third Pandemic" @default.
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• W2956665664 doi "https://doi.org/10.1111/1749-4877.12411" @default.
• W2956665664 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31305020" @default.
• W2956665664 hasPublicationYear "2020" @default.
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