唐颖馨
,潘超
,张萍
,张晓祥
,李力
,姚刚
,张燕婷
,杨卫东
,唐洲平.智能医学时代的新发重大传染病预警、应对和医院运营优化--COVID-19疫情防控思考[J].神经损伤功能重建,2021,16(1):6-8 |
智能医学时代的新发重大传染病预警、应对和医院运营优化--COVID-19疫情防控思考 |
Intelligent Medicine and It's Application in Early Warning, Response Activities and HospitalOperating in Major New Infectious Diseases Outbreak |
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DOI: |
中文关键词: 智能医学 新发重大传染病 肺炎 COVID-19 |
英文关键词: intelligent medicine major new infectious diseases pneumonia COVID-19 |
基金项目:华中科技大学新型
冠状病毒肺炎应急
科技攻关专项(No.
2020kfyXGYJ084) |
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中文摘要: |
2019年底,新型冠状病毒肺炎疫情在湖北武汉暴发,在短时间内感染人数急剧增加,并迅速扩散到全
国。经过2个多月的全力抗疫,武汉和全国的新型冠状病毒肺炎疫情防御工作取得了阶段性的胜利。本文
对本次疫情防控整体情况进行回顾性分析,总结早期防疫工作中存在的不足;探索智能医学在新发重大传
染病预警、应对和医院运营优化中的作用。 |
英文摘要: |
At the end of 2019, the new coronavirus pneumonia (corona virus disease 2019, COVID-19)
outbreaked in Wuhan, Hubei. The number of infections increased sharply in a short period of time, and it spread
rapidly throughout the country. After more than two-month full-scale anti-epidemic work, the epidemic defense
of COVID-19 in Wuhan has achieved phased victory. We retrospectively analyzed the epidemic prevention
activities and summarized the shortcomings in the early stage of epidemic prevention work in this article. The
role of intelligent medicine application in early warning, response activities and hospital operating in major new
infectious diseases outbreak were explored. |
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