The use of SatScan software to map spatiotemporal trends and detect disease clusters: a systematic review
Abstract Background Low and Middle-Income Countries (LMICs) often experience a disproportionate burden in health issues. One public health, epidemiology, and spatial statistics software tool has emerged as a stalwart for detecting disease clusters, mapping spatiotemporal trends, and analyzing health...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-024-00699-1 |
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