• 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

善用大数据:人人有房住。

Make good use of big data: A home for everyone.

作者信息

Moustafa Khaled

机构信息

Editor of Arabic Science Archive (ArabiXiv).

出版信息

Cities. 2020 Dec;107:102903. doi: 10.1016/j.cities.2020.102903. Epub 2020 Aug 24.

DOI:10.1016/j.cities.2020.102903
PMID:32863523
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7444630/
Abstract

The ongoing COVID-19 pandemic should teach us some lessons at health, environmental and human levels toward more fairness, human cohesion and environmental sustainability. At a health level, the pandemic raises the importance of housing for everyone particularly vulnerable and homeless people to protect them from the disease and against other similar airborne pandemics. Here, I propose to make good use of big data along with 3D construction printers to construct houses and solve some major and pressing housing needs worldwide. Big data can be used to determine how many people do need accommodation and 3D construction printers to build houses accordingly and swiftly. The combination of such facilities- big data and 3D printers- can help solve global housing crises more efficiently than traditional and unguided construction plans, particularly under environmental and major health crises where health and housing are tightly interrelated.

摘要

持续的新冠疫情应该在健康、环境和人类层面给我们一些教训,以实现更大的公平、人类凝聚力和环境可持续性。在健康层面,疫情凸显了住房对每个人尤其是弱势群体和无家可归者的重要性,以保护他们免受疾病以及其他类似空气传播大流行病的侵害。在此,我提议充分利用大数据以及3D建筑打印机来建造房屋,解决全球一些重大且紧迫的住房需求。大数据可用于确定有多少人需要住房,3D建筑打印机则据此快速建造房屋。大数据和3D打印机等此类设施的结合,能够比传统且无指导的建设计划更有效地帮助解决全球住房危机,特别是在健康与住房紧密相关的环境和重大健康危机情况下。

相似文献

1
Make good use of big data: A home for everyone.善用大数据:人人有房住。
Cities. 2020 Dec;107:102903. doi: 10.1016/j.cities.2020.102903. Epub 2020 Aug 24.
2
"Staying at home" to tackle COVID-19 pandemic: rhetoric or reality? Cross-cutting analysis of nine population groups vulnerable to homelessness in Japan.“居家抗疫”应对新冠疫情:言辞还是现实?对日本九类易陷入无家可归状态人群的交叉分析
Trop Med Health. 2020 Nov 23;48(1):92. doi: 10.1186/s41182-020-00281-0.
3
The health of homeless children revisited.再探流浪儿童的健康状况。
Adv Pediatr. 2007;54:173-87. doi: 10.1016/j.yapd.2007.03.010.
4
The Three Little Houses: A Comparative Study of Indoor and Ambient Temperatures in Three Low-Cost Housing Types in Gauteng and Mpumalanga, South Africa.《三所小房子:南非豪登省和姆普马兰加省三种低成本住房类型的室内和环境温度比较研究》。
Int J Environ Res Public Health. 2020 May 18;17(10):3524. doi: 10.3390/ijerph17103524.
5
The energy crises revealed by COVID: Intersections of Indigeneity, inequity, and health.新冠疫情揭示的能源危机:本土性、不平等与健康的交叉点
Energy Res Soc Sci. 2020 Oct;68:101661. doi: 10.1016/j.erss.2020.101661. Epub 2020 Jul 7.
6
Testing big data in a big crisis: Nowcasting under COVID-19.在重大危机中测试大数据:新冠疫情下的即时预测
Int J Forecast. 2022 Nov 4;39(4):1548-63. doi: 10.1016/j.ijforecast.2022.10.005.
7
COVID-19 is spatial: Ensuring that mobile Big Data is used for social good.新冠疫情具有空间特性:确保移动大数据用于社会公益。
Big Data Soc. 2020 Aug 27;7(2):2053951720952088. doi: 10.1177/2053951720952088. eCollection 2020 Jul.
8
Understanding Wait Times in Rapid Re-Housing Among Homeless Youth: A Competing Risk Survival Analysis.了解无家可归青少年快速重新安置中的等待时间:一项竞争风险生存分析。
J Prim Prev. 2019 Oct;40(5):529-544. doi: 10.1007/s10935-019-00562-3.
9
10
Big data for everyone.大数据服务大众。
Nat Neurosci. 2024 May;27(5):811. doi: 10.1038/s41593-024-01657-9.

引用本文的文献

1
Mobility restrictions and their implications on the rental housing market during the COVID-19 pandemic in China's large cities.中国大城市新冠疫情期间的出行限制及其对租赁住房市场的影响。
Cities. 2022 Jul;126:103712. doi: 10.1016/j.cities.2022.103712. Epub 2022 Apr 29.

本文引用的文献

1
Lessons to Learn from COVID-19.从新冠疫情中吸取的教训。
Oman Med J. 2020 Jul 31;35(4):e159. doi: 10.5001/omj.2020.81. eCollection 2020 Jul.
2
Big data is crucial to the early detection of cancer.大数据对于癌症的早期检测至关重要。
Nat Med. 2020 Jan;26(1):19-20. doi: 10.1038/s41591-019-0725-7.
3
Housing and homelessness as a health crisis.住房与无家可归问题作为一场健康危机。
Lancet. 2019 Oct 5;394(10205):1206. doi: 10.1016/S0140-6736(19)32267-6.
4
Use of big data in drug development for precision medicine: an update.大数据在精准医学药物研发中的应用:最新进展
Expert Rev Precis Med Drug Dev. 2019;4(3):189-200. doi: 10.1080/23808993.2019.1617632. Epub 2019 May 20.
5
Big data analytics for personalized medicine.大数据分析在个性化医疗中的应用。
Curr Opin Biotechnol. 2019 Aug;58:161-167. doi: 10.1016/j.copbio.2019.03.004. Epub 2019 Apr 6.
6
[Eating in public transportation: A behavior to avoid for health and sanitary purposes?].[在公共交通工具上进食:出于健康和卫生目的应避免的一种行为?]
Presse Med. 2018 Jul-Aug;47(7-8 Pt 1):606-610. doi: 10.1016/j.lpm.2018.05.015. Epub 2018 Jul 20.
7
A clean environmental week: Let the nature breathe.清洁环境周:让大自然呼吸。
Sci Total Environ. 2017 Nov 15;598:639-646. doi: 10.1016/j.scitotenv.2017.04.068. Epub 2017 Apr 25.
8
The use of big data in transfusion medicine.大数据在输血医学中的应用。
Transfus Med. 2015 Jun;25(3):129-37. doi: 10.1111/tme.12223.