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Policy analysis and data mining tools for controlling COVID-19 policies
Much research has been done on the efficacy of vaccines against the COVID-19 pandemic, but the claims have not yet been realized in the real world. This paper proposes three COVID-19 policy outcome analysis tools such as jpscore for scoring and revealing the best prefecture policy in Japan, scorecov...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Vienna
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734569/ https://www.ncbi.nlm.nih.gov/pubmed/36532363 http://dx.doi.org/10.1007/s13721-022-00400-3 |
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author | Takefuji, Yoshiyasu |
author_facet | Takefuji, Yoshiyasu |
author_sort | Takefuji, Yoshiyasu |
collection | PubMed |
description | Much research has been done on the efficacy of vaccines against the COVID-19 pandemic, but the claims have not yet been realized in the real world. This paper proposes three COVID-19 policy outcome analysis tools such as jpscore for scoring and revealing the best prefecture policy in Japan, scorecovid for scoring and revealing the best country policy in the world, and finally hiscovid for visualizing and identifying when policymakers made mistakes in time-series scores. Poorly scored countries or prefectures can learn good strategies from the best country or prefecture with excellent scores. Three tools are based on a single metric dividing the number of COVID-19 deaths by the population in millions. Three tools suggest us that the sustainable mandatory test-isolation strategy should be adopted in the world for mitigating the pandemic. This paper also addresses what is lacking in Japan for scientific evidence-based research for mitigating the pandemic. Visualization tools and sorted and time-series scores of policy outcomes help policymakers make the right decisions. |
format | Online Article Text |
id | pubmed-9734569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-97345692022-12-12 Policy analysis and data mining tools for controlling COVID-19 policies Takefuji, Yoshiyasu Netw Model Anal Health Inform Bioinform Original Article Much research has been done on the efficacy of vaccines against the COVID-19 pandemic, but the claims have not yet been realized in the real world. This paper proposes three COVID-19 policy outcome analysis tools such as jpscore for scoring and revealing the best prefecture policy in Japan, scorecovid for scoring and revealing the best country policy in the world, and finally hiscovid for visualizing and identifying when policymakers made mistakes in time-series scores. Poorly scored countries or prefectures can learn good strategies from the best country or prefecture with excellent scores. Three tools are based on a single metric dividing the number of COVID-19 deaths by the population in millions. Three tools suggest us that the sustainable mandatory test-isolation strategy should be adopted in the world for mitigating the pandemic. This paper also addresses what is lacking in Japan for scientific evidence-based research for mitigating the pandemic. Visualization tools and sorted and time-series scores of policy outcomes help policymakers make the right decisions. Springer Vienna 2022-12-05 2023 /pmc/articles/PMC9734569/ /pubmed/36532363 http://dx.doi.org/10.1007/s13721-022-00400-3 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Takefuji, Yoshiyasu Policy analysis and data mining tools for controlling COVID-19 policies |
title | Policy analysis and data mining tools for controlling COVID-19 policies |
title_full | Policy analysis and data mining tools for controlling COVID-19 policies |
title_fullStr | Policy analysis and data mining tools for controlling COVID-19 policies |
title_full_unstemmed | Policy analysis and data mining tools for controlling COVID-19 policies |
title_short | Policy analysis and data mining tools for controlling COVID-19 policies |
title_sort | policy analysis and data mining tools for controlling covid-19 policies |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734569/ https://www.ncbi.nlm.nih.gov/pubmed/36532363 http://dx.doi.org/10.1007/s13721-022-00400-3 |
work_keys_str_mv | AT takefujiyoshiyasu policyanalysisanddataminingtoolsforcontrollingcovid19policies |