Robotics & Machine Learning Daily News2024,Issue(Jun.14) :111-112.

Karolinska Institute Reports Findings in COVID-19 (Countryspecific determinants for COVID-19 case fatality rate and response strategies from a global perspecti ve: an interpretable machine learning framework)

卡罗林斯卡研究所在COVID-19中报告了研究结果(COVID-19病死率的国家特定决定因素和全球视角的应对策略:可解释的机器学习框架)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :111-112.

Karolinska Institute Reports Findings in COVID-19 (Countryspecific determinants for COVID-19 case fatality rate and response strategies from a global perspecti ve: an interpretable machine learning framework)

卡罗林斯卡研究所在COVID-19中报告了研究结果(COVID-19病死率的国家特定决定因素和全球视角的应对策略:可解释的机器学习框架)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-冠状病毒的新研究-COVID-19是一篇报道的主题。根据NewsRx记者从瑞典斯德哥尔摩发回的新闻报道,研究表明:“COVID-19例病例死亡率(CFRs)中存在显著的地理不确定性,从全球角度全面了解其国家层面的决定因素是必要的。本研究旨在量化COVID-19 CFR的国家特定风险,并在156个国家提出量身定制的应对策略,包括疫苗接种策略。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to news reporting from Stockholm, Sweden, by NewsRx journalists, research stated, “There are significant geographic inequ ities in COVID-19 case fatality rates (CFRs), and comprehensive understanding it s country-level determinants in a global perspective is necessary. This study ai ms to quantify the countryspecific risk of COVID-19 CFR and propose tailored re sponse strategies, including vaccination strategies, in 156 countries.”

Key words

Stockholm/Sweden/Europe/COVID-19/Com municable Disease Control/Coronavirus/Cyborgs/Emerging Technologies/Environm ent and Public Health/Epidemiology/Health and Medicine/Immunization/Machine Learning/Mortality/Public Health/Public Health Practice/RNA Viruses/Risk an d Prevention/SARS-CoV-2/Severe Acute Respiratory Syndrome Coronavirus 2/Vacci nation/Viral/Virology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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