COWAVE: A labelled COVID-19 wave dataset for building predictive models.
The ongoing COVID-19 pandemic has posed a significant global challenge to healthcare systems. Every country has seen multiple waves of this disease, placing a considerable strain on healthcare resources. Across the world, the pandemic has motivated diligent data collection, with an enormous amount o...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0284076 |
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| _version_ | 1849248378512211968 |
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| author | Melpakkam Pradeep Karthik Raman |
| author_facet | Melpakkam Pradeep Karthik Raman |
| author_sort | Melpakkam Pradeep |
| collection | DOAJ |
| description | The ongoing COVID-19 pandemic has posed a significant global challenge to healthcare systems. Every country has seen multiple waves of this disease, placing a considerable strain on healthcare resources. Across the world, the pandemic has motivated diligent data collection, with an enormous amount of data being available in the public domain. In this manuscript, we collate COVID-19 case data from around the world (available on the World Health Organization (WHO) website), and provide various definitions for waves. Using these definitions to define labels, we create a labelled dataset, which can be used while building supervised learning classifiers. We also use a simple eXtreme Gradient Boosting (XGBoost) model to provide a minimum standard for future classifiers trained on this dataset and demonstrate the utility of our dataset for the prediction of (future) waves. This dataset will be a valuable resource for epidemiologists and others interested in the early prediction of future waves. The datasets are available from https://github.com/RamanLab/COWAVE/. |
| format | Article |
| id | doaj-art-130dc4e174644e72a8ae938f94ce39db |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-130dc4e174644e72a8ae938f94ce39db2025-08-20T03:57:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01187e028407610.1371/journal.pone.0284076COWAVE: A labelled COVID-19 wave dataset for building predictive models.Melpakkam PradeepKarthik RamanThe ongoing COVID-19 pandemic has posed a significant global challenge to healthcare systems. Every country has seen multiple waves of this disease, placing a considerable strain on healthcare resources. Across the world, the pandemic has motivated diligent data collection, with an enormous amount of data being available in the public domain. In this manuscript, we collate COVID-19 case data from around the world (available on the World Health Organization (WHO) website), and provide various definitions for waves. Using these definitions to define labels, we create a labelled dataset, which can be used while building supervised learning classifiers. We also use a simple eXtreme Gradient Boosting (XGBoost) model to provide a minimum standard for future classifiers trained on this dataset and demonstrate the utility of our dataset for the prediction of (future) waves. This dataset will be a valuable resource for epidemiologists and others interested in the early prediction of future waves. The datasets are available from https://github.com/RamanLab/COWAVE/.https://doi.org/10.1371/journal.pone.0284076 |
| spellingShingle | Melpakkam Pradeep Karthik Raman COWAVE: A labelled COVID-19 wave dataset for building predictive models. PLoS ONE |
| title | COWAVE: A labelled COVID-19 wave dataset for building predictive models. |
| title_full | COWAVE: A labelled COVID-19 wave dataset for building predictive models. |
| title_fullStr | COWAVE: A labelled COVID-19 wave dataset for building predictive models. |
| title_full_unstemmed | COWAVE: A labelled COVID-19 wave dataset for building predictive models. |
| title_short | COWAVE: A labelled COVID-19 wave dataset for building predictive models. |
| title_sort | cowave a labelled covid 19 wave dataset for building predictive models |
| url | https://doi.org/10.1371/journal.pone.0284076 |
| work_keys_str_mv | AT melpakkampradeep cowavealabelledcovid19wavedatasetforbuildingpredictivemodels AT karthikraman cowavealabelledcovid19wavedatasetforbuildingpredictivemodels |