A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks
The majority of the widely used scan statistics are based on distributional assumptions. Contrary to the existing methods, with a new perspective in clustering, the Mann-Whitney Scan Statistic was introduced to detect clusters in continuous data indexed by time or space, without any distributional a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/20/10513 |
| _version_ | 1797475526720356352 |
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| author | Kethmi H. Hettige Chandima D. Tilakaratne |
| author_facet | Kethmi H. Hettige Chandima D. Tilakaratne |
| author_sort | Kethmi H. Hettige |
| collection | DOAJ |
| description | The majority of the widely used scan statistics are based on distributional assumptions. Contrary to the existing methods, with a new perspective in clustering, the Mann-Whitney Scan Statistic was introduced to detect clusters in continuous data indexed by time or space, without any distributional assumptions or parameters to set up. We propose an extension of the Mann-Whitney Scan Statistic that can be applied to spatiotemporal data based on spatiotemporal distance measure. This novel scan statistic is distribution-free and seems to be powerful against parametric spatiotemporal scan statistics. The results are applicable in a wide variety of spatiotemporal domains, including epidemiology, socioeconomic analysis and climate sciences, irrespective of continuous or discrete data. |
| first_indexed | 2024-03-09T20:45:24Z |
| format | Article |
| id | doaj.art-2050eb30f8bb4d08adc8a76011bdb47a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T20:45:24Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-2050eb30f8bb4d08adc8a76011bdb47a2023-11-23T22:45:52ZengMDPI AGApplied Sciences2076-34172022-10-0112201051310.3390/app122010513A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease OutbreaksKethmi H. Hettige0Chandima D. Tilakaratne1Department of Statistics, University of Colombo, Colombo P.O. Box 1490, Sri LankaDepartment of Statistics, University of Colombo, Colombo P.O. Box 1490, Sri LankaThe majority of the widely used scan statistics are based on distributional assumptions. Contrary to the existing methods, with a new perspective in clustering, the Mann-Whitney Scan Statistic was introduced to detect clusters in continuous data indexed by time or space, without any distributional assumptions or parameters to set up. We propose an extension of the Mann-Whitney Scan Statistic that can be applied to spatiotemporal data based on spatiotemporal distance measure. This novel scan statistic is distribution-free and seems to be powerful against parametric spatiotemporal scan statistics. The results are applicable in a wide variety of spatiotemporal domains, including epidemiology, socioeconomic analysis and climate sciences, irrespective of continuous or discrete data.https://www.mdpi.com/2076-3417/12/20/10513scan statisticsnon-parametricspatiotemporal scan statisticscluster detectiondisease outbreaksCOVID-19 |
| spellingShingle | Kethmi H. Hettige Chandima D. Tilakaratne A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks Applied Sciences scan statistics non-parametric spatiotemporal scan statistics cluster detection disease outbreaks COVID-19 |
| title | A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks |
| title_full | A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks |
| title_fullStr | A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks |
| title_full_unstemmed | A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks |
| title_short | A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks |
| title_sort | novel non parametric spatiotemporal scan statistic an application to detect disease outbreaks |
| topic | scan statistics non-parametric spatiotemporal scan statistics cluster detection disease outbreaks COVID-19 |
| url | https://www.mdpi.com/2076-3417/12/20/10513 |
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