• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

COVID-19 in Children-Learning From the Past, Planning for the Future.

作者信息

Chiotos Kathleen, Fitzgerald Julie C

机构信息

Division of Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

出版信息

JAMA Pediatr. 2023 Jul 31. doi: 10.1001/jamapediatrics.2023.2354.

DOI:10.1001/jamapediatrics.2023.2354
PMID:37523196
Abstract
摘要

相似文献

1
COVID-19 in Children-Learning From the Past, Planning for the Future.儿童新冠病毒感染——回顾过去，展望未来
JAMA Pediatr. 2023 Jul 31. doi: 10.1001/jamapediatrics.2023.2354.
2
Pilot Wellness Program With Adapted Social-Emotional Learning and COVID-19 Curriculum for Refugee Youth.难民青年适应社会情感学习和 COVID-19 课程的试点健康计划。
Health Educ Behav. 2022 Feb;49(1):17-25. doi: 10.1177/10901981211048830. Epub 2021 Oct 11.
3
Scripts and information units in future planning: Interactions between a past and a future planning task.未来规划中的脚本与信息单元：过去规划任务与未来规划任务之间的相互作用。
Q J Exp Psychol (Hove). 2016;69(2):324-38. doi: 10.1080/17470218.2015.1085587. Epub 2015 Oct 27.
4
Looking back to move forward: A travel rule underlined by the current pandemic.回首往昔，展望未来：当前疫情凸显的一条出行准则。
Indian J Public Health. 2022 Oct-Dec;66(4):403-406. doi: 10.4103/ijph.ijph_1513_22.
5
CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19.CPAS：英国基于机器学习的新冠疫情医院容量规划系统。
Mach Learn. 2021;110(1):15-35. doi: 10.1007/s10994-020-05921-4. Epub 2020 Nov 24.
6
Emerging Infectious Diseases - Learning from the Past and Looking to the Future.新发传染病——借鉴历史，展望未来。
N Engl J Med. 2021 Apr 1;384(13):1181-1184. doi: 10.1056/NEJMp2034517. Epub 2021 Mar 27.
7
Learning Lessons from COVID-19 Requires Recognizing Moral Failures.从 COVID-19 中吸取教训需要认识到道德失败。
J Bioeth Inq. 2020 Dec;17(4):563-566. doi: 10.1007/s11673-020-10019-6. Epub 2020 Aug 25.
8
Mastery of verb tense markers by normal and learning-disabled children.正常儿童和学习障碍儿童对动词时态标记的掌握情况。
J Speech Hear Res. 1977 Sep;20(3):529-42. doi: 10.1044/jshr.2003.529.
9
COVID-19 Planning Among Radiologic Science Programs: Response Mitigation Activities.放射科学项目中的新冠疫情规划：应对缓解活动
Radiol Technol. 2020 Nov;92(2):100-112.
10
Scenario Planning Approach to Adapting in the COVID Era.新冠时代的适应：情景规划方法。
Acad Radiol. 2023 Apr;30(4):572-578. doi: 10.1016/j.acra.2022.11.032. Epub 2022 Dec 15.

引用本文的文献

1
Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil.十二种机器学习模型预测儿童新冠病毒疾病死亡率风险的比较性能：巴西一项基于人群的回顾性队列研究
PeerJ Comput Sci. 2025 May 28;11:e2916. doi: 10.7717/peerj-cs.2916. eCollection 2025.
2
The severity of pediatric COVID-19 during hospitalization is not associated with mortality within six months of discharge.儿童新冠病毒感染疾病（COVID-19）住院期间的严重程度与出院后六个月内的死亡率无关。
BMC Pediatr. 2025 Mar 17;25(1):199. doi: 10.1186/s12887-025-05531-w.