Predicting epidemics using search engine data: a comparative study on measles in the largest countries of Europe
Abstract Background In recent years new forms of syndromic surveillance that use data from the Internet have been proposed. These have been developed to assist the early prediction of epidemics in various cases and diseases. It has been found that these systems are accurate in monitoring and predict...
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Main Authors: | Loukas Samaras (Author), Miguel-Angel Sicilia (Author), Elena García-Barriocanal (Author) |
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Format: | Book |
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BMC,
2021-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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