Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916323223666688 |
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| author | Abrar, Saad Mohammad Awasthi, Naman Smolyak, Daniel Frias-Martinez, Vanessa |
| author_facet | Abrar, Saad Mohammad Awasthi, Naman Smolyak, Daniel Frias-Martinez, Vanessa |
| contents | Human mobility data has been extensively used in covid-19 case prediction models. Nevertheless, related work has questioned whether mobility data really helps that much. We present a systematic analysis across mobility datasets and prediction lookaheads and reveal that adding mobility data to predictive models improves model performance only for about two months at the onset of the testing period, and that performance improvements -- measured as predicted vs. actual correlation improvement over non-mobility baselines -- are at most 0.3. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_10304 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models Abrar, Saad Mohammad Awasthi, Naman Smolyak, Daniel Frias-Martinez, Vanessa Computers and Society Social and Information Networks Human mobility data has been extensively used in covid-19 case prediction models. Nevertheless, related work has questioned whether mobility data really helps that much. We present a systematic analysis across mobility datasets and prediction lookaheads and reveal that adding mobility data to predictive models improves model performance only for about two months at the onset of the testing period, and that performance improvements -- measured as predicted vs. actual correlation improvement over non-mobility baselines -- are at most 0.3. |
| title | Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models |
| topic | Computers and Society Social and Information Networks |
| url | https://arxiv.org/abs/2407.10304 |