hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19 [Image: see text]

There are two types of policy outcome analysis tools: snapshot tool and time-series tool. hiscovid is a time-series policy outcome scoring tool of COVID-19 policies by country where the daily cumulative population mortality is used for scoring the outcomes of COVID-19 country policies to visualize a...

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Detalles Bibliográficos
Autor principal: Takefuji, Yoshiyasu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2023
Materias:
Original Software Publication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839382/
https://www.ncbi.nlm.nih.gov/pubmed/36686033
http://dx.doi.org/10.1016/j.simpa.2023.100466
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author Takefuji, Yoshiyasu
author_facet Takefuji, Yoshiyasu
author_sort Takefuji, Yoshiyasu
collection PubMed
description There are two types of policy outcome analysis tools: snapshot tool and time-series tool. hiscovid is a time-series policy outcome scoring tool of COVID-19 policies by country where the daily cumulative population mortality is used for scoring the outcomes of COVID-19 country policies to visualize and identify when policymakers made mistakes. hiscovid allows policymakers to observe the progress and transition of scores over time to learn lessons from the past decision-making mistakes for correcting the current policies to reduce unnecessary deaths. The lower the score, the better the policy. hiscovid attracted 1480 users worldwide.
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spelling pubmed-98393822023-01-17 hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19 [Image: see text] Takefuji, Yoshiyasu Softw Impacts Original Software Publication There are two types of policy outcome analysis tools: snapshot tool and time-series tool. hiscovid is a time-series policy outcome scoring tool of COVID-19 policies by country where the daily cumulative population mortality is used for scoring the outcomes of COVID-19 country policies to visualize and identify when policymakers made mistakes. hiscovid allows policymakers to observe the progress and transition of scores over time to learn lessons from the past decision-making mistakes for correcting the current policies to reduce unnecessary deaths. The lower the score, the better the policy. hiscovid attracted 1480 users worldwide. The Author(s). Published by Elsevier B.V. 2023-03 2023-01-14 /pmc/articles/PMC9839382/ /pubmed/36686033 http://dx.doi.org/10.1016/j.simpa.2023.100466 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Software Publication
Takefuji, Yoshiyasu
hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19 [Image: see text]
title hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19 [Image: see text]
title_full hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19 [Image: see text]
title_fullStr hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19 [Image: see text]
title_full_unstemmed hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19 [Image: see text]
title_short hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19 [Image: see text]
title_sort hiscovid for visualizing and identifying when policymakers made mistakes against covid-19 [image: see text]
topic Original Software Publication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839382/
https://www.ncbi.nlm.nih.gov/pubmed/36686033
http://dx.doi.org/10.1016/j.simpa.2023.100466
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