• 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

手机数据在疾病灾害管理中的证据及未来潜力

Evidence and future potential of mobile phone data for disease disaster management.

作者信息

Cinnamon Jonathan, Jones Sarah K, Adger W Neil

机构信息

Department of Geography, College of Life and Environmental Sciences, University of Exeter, UK.

Department of Geography, King's College London, UK.

出版信息

Geoforum. 2016 Oct;75:253-264. doi: 10.1016/j.geoforum.2016.07.019. Epub 2016 Aug 24.

DOI:10.1016/j.geoforum.2016.07.019
PMID:32287362
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7127132/
Abstract

Global health threats such as the recent Ebola and Zika virus outbreaks require rapid and robust responses to prevent, reduce and recover from disease dispersion. As part of broader big data and digital humanitarianism discourses, there is an emerging interest in data produced through mobile phone communications for enhancing the data environment in such circumstances. This paper assembles user perspectives and critically examines existing evidence and future potential of mobile phone data derived from call detail records (CDRs) and two-way short message service (SMS) platforms, for managing and responding to humanitarian disasters caused by communicable disease outbreaks. We undertake a scoping review of relevant literature and in-depth interviews with key informants to ascertain the: (i) information that can be gathered from CDRs or SMS data; (ii) phase(s) in the disease disaster management cycle when mobile data may be useful; (iii) value added over conventional approaches to data collection and transfer; (iv) barriers and enablers to use of mobile data in disaster contexts; and (v) the social and ethical challenges. Based on this evidence we develop a of mobile phone data sources, types, and end-uses, and a - for mobile data use, designed to enable effective use of mobile data for disease disaster management. We show that mobile data holds great potential for improving the quality, quantity and timing of selected information required for disaster management, but that testing and evaluation of the benefits, constraints and limitations of mobile data use in a wider range of mobile-user and disaster contexts is needed to fully understand its utility, validity, and limitations.

摘要

近期埃博拉病毒和寨卡病毒爆发等全球卫生威胁,需要迅速且有力的应对措施,以预防、减少疾病传播并从疾病扩散中恢复。作为更广泛的大数据和数字人道主义论述的一部分,人们开始对通过手机通信产生的数据产生兴趣,以改善此类情况下的数据环境。本文收集了用户观点,批判性地审视了来自通话详单记录(CDR)和双向短消息服务(SMS)平台的手机数据在管理和应对由传染病爆发引发的人道主义灾难方面的现有证据及未来潜力。我们对相关文献进行了范围界定审查,并对关键信息提供者进行了深入访谈,以确定:(i)可从CDR或短信数据中收集到的信息;(ii)疾病灾难管理周期中手机数据可能有用的阶段;(iii)相较于传统数据收集和传输方法的附加值;(iv)在灾难背景下使用手机数据的障碍和促进因素;以及(v)社会和伦理挑战。基于这些证据,我们制定了一个手机数据源、类型和最终用途的框架,以及一个手机数据使用的路线图,旨在有效利用手机数据进行疾病灾难管理。我们表明,手机数据在提高灾难管理所需特定信息的质量、数量和及时性方面具有巨大潜力,但需要在更广泛的移动用户和灾难背景下对手机数据使用的益处、限制和局限性进行测试和评估,以充分了解其效用、有效性和局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1895/7127132/281dc18234d2/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1895/7127132/fd8624ed4011/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1895/7127132/0b95e98f11f0/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1895/7127132/281dc18234d2/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1895/7127132/fd8624ed4011/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1895/7127132/0b95e98f11f0/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1895/7127132/281dc18234d2/gr3_lrg.jpg

相似文献

1
Evidence and future potential of mobile phone data for disease disaster management.手机数据在疾病灾害管理中的证据及未来潜力
Geoforum. 2016 Oct;75:253-264. doi: 10.1016/j.geoforum.2016.07.019. Epub 2016 Aug 24.
2
A Randomized Trial Comparing Telephone Tree, Text Messaging, and Instant Messaging App for Emergency Department Staff Recall for Disaster Response.一项比较电话树、短信和即时通讯应用程序用于急诊科工作人员灾难应对召回的随机试验。
Prehosp Disaster Med. 2018 Oct;33(5):471-477. doi: 10.1017/S1049023X18000912.
3
Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review.手机通话记录在健康研究中的挑战与潜在机遇:综述
JMIR Mhealth Uhealth. 2018 Jul 19;6(7):e161. doi: 10.2196/mhealth.9974.
4
Mobile phone messaging reminders for attendance at healthcare appointments.用于提醒参加医疗预约的手机短信
Cochrane Database Syst Rev. 2012 Jul 11(7):CD007458. doi: 10.1002/14651858.CD007458.pub2.
5
The addition of mobile SMS effectively improves dengue prevention practices in community: an implementation study in Nepal.移动短信的添加有效地改善了社区登革热预防措施:尼泊尔的一项实施研究。
BMC Health Serv Res. 2019 Oct 15;19(1):699. doi: 10.1186/s12913-019-4541-z.
6
Mobile Health for Tuberculosis Management in South India: Is Video-Based Directly Observed Treatment an Acceptable Alternative?印度南部的移动医疗在结核病管理中的应用:基于视频的直接观察治疗是否可以作为一种可接受的替代方法?
JMIR Mhealth Uhealth. 2019 Apr 3;7(4):e11687. doi: 10.2196/11687.
7
Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research.迈向一个以伦理为基础的框架,用于在健康研究中使用手机通话记录。
JMIR Mhealth Uhealth. 2019 Mar 22;7(3):e11969. doi: 10.2196/11969.
8
Using reality mining to improve public health and medicine.利用现实挖掘改善公共卫生与医学。
Stud Health Technol Inform. 2009;149:93-102.
9
Improving treatment adherence for blood pressure lowering via mobile phone SMS-messages in South Africa: a qualitative evaluation of the SMS-text Adherence SuppoRt (StAR) trial.通过手机短信提高南非血压降低治疗依从性:短信依从性支持(StAR)试验的定性评估
BMC Fam Pract. 2015 Jul 3;16:80. doi: 10.1186/s12875-015-0289-7.
10
Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues.移动众包在灾害管理中的应用:系统综述、挑战和开放问题。
Sensors (Basel). 2023 Feb 3;23(3):1699. doi: 10.3390/s23031699.

引用本文的文献

1
A Systematic Review of Mobile Phone Data in Crime Applications: A Coherent Taxonomy Based on Data Types and Analysis Perspectives, Challenges, and Future Research Directions.基于数据类型和分析视角的犯罪应用中手机数据的系统综述:一致分类法、挑战和未来研究方向。
Sensors (Basel). 2023 Apr 28;23(9):4350. doi: 10.3390/s23094350.
2
A systematic literature review on the use of big data analytics in humanitarian and disaster operations.关于大数据分析在人道主义和灾难行动中应用的系统文献综述。
Ann Oper Res. 2022 Nov 21:1-38. doi: 10.1007/s10479-022-04904-z.
3
Exposure to parks through the lens of urban mobility.

本文引用的文献

1
GeoWeb and crisis management: issues and perspectives of volunteered geographic information.地理网络与危机管理: volunteered地理信息的问题与展望
GeoJournal. 2013;78(1):21-40. doi: 10.1007/s10708-011-9423-9. Epub 2011 Jun 28.
2
A location-centric network approach to analyzing epidemic dynamics.一种以位置为中心的网络方法来分析疫情动态。
Ann Am Assoc Geogr. 2016;106(2):480-488. doi: 10.1080/00045608.2015.1113113. Epub 2016 Jan 12.
3
Mobile phone call data as a regional socio-economic proxy indicator.移动电话通话数据作为一种区域社会经济替代指标。
从城市出行的角度看接触公园的情况。
EPJ Data Sci. 2022;11(1):42. doi: 10.1140/epjds/s13688-022-00351-9. Epub 2022 Jul 18.
4
A learning approach to community response during the COVID-19 pandemic: Applying the Cynefin framework to guide decision-making.一种应对新冠疫情期间社区反应的学习方法:应用辛芬框架指导决策
Learn Health Syst. 2021 Nov 26;6(2):e10295. doi: 10.1002/lrh2.10295. eCollection 2022 Apr.
5
A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland.基于芬兰赫尔辛基大都市区手机数据的 24 小时人口分布数据集。
Sci Data. 2022 Feb 4;9(1):39. doi: 10.1038/s41597-021-01113-4.
6
Quantifying the differences in .量化……方面的差异。 你提供的原文不完整,请补充完整以便我能准确翻译。
R Soc Open Sci. 2021 Jun 30;8(6):201443. doi: 10.1098/rsos.201443. eCollection 2021 Jun.
7
Real World Effectiveness of Information and Communication Technologies in Disaster Relief: A Systematic Review.信息通信技术在救灾中的实际效果:一项系统综述
Iran J Public Health. 2020 Oct;49(10):1813-1826. doi: 10.18502/ijph.v49i10.4678.
8
Using Mobile Phone Data for Emergency Management: a Systematic Literature Review.利用手机数据进行应急管理:一项系统文献综述。
Inf Syst Front. 2020;22(6):1539-1559. doi: 10.1007/s10796-020-10057-w. Epub 2020 Sep 16.
9
Empirical evidence of declining global vulnerability to climate-related hazards.全球对气候相关灾害的脆弱性下降的实证证据。
Glob Environ Change. 2019 Jul;57:101920. doi: 10.1016/j.gloenvcha.2019.05.004.
10
Big Data Analytics, Infectious Diseases and Associated Ethical Impacts.大数据分析、传染病及相关伦理影响
Philos Technol. 2019;32(1):69-85. doi: 10.1007/s13347-017-0278-y. Epub 2017 Aug 24.
PLoS One. 2015 Apr 21;10(4):e0124160. doi: 10.1371/journal.pone.0124160. eCollection 2015.
4
Guiding Ebola patients to suitable health facilities: an SMS-based approach.引导埃博拉患者前往合适的医疗机构:一种基于短信的方法。
F1000Res. 2015 Feb 12;4:43. doi: 10.12688/f1000research.6105.1. eCollection 2015.
5
Using mobile phone data to predict the spatial spread of cholera.利用手机数据预测霍乱的空间传播。
Sci Rep. 2015 Mar 9;5:8923. doi: 10.1038/srep08923.
6
Leveraging "big data" to enhance the effectiveness of "one health" in an era of health informatics.在健康信息学时代,利用“大数据”提高“同一健康”的有效性。
J Epidemiol Glob Health. 2015 Dec;5(4):311-4. doi: 10.1016/j.jegh.2015.02.001. Epub 2015 Mar 5.
7
Remotely measuring populations during a crisis by overlaying two data sources.在危机期间,通过叠加两个数据源对人群进行远程测量。
Int Health. 2015 Mar;7(2):90-8. doi: 10.1093/inthealth/ihv003.
8
Ethical challenges of big data in public health.公共卫生领域大数据的伦理挑战。
PLoS Comput Biol. 2015 Feb 9;11(2):e1003904. doi: 10.1371/journal.pcbi.1003904. eCollection 2015 Feb.
9
Commentary: containing the ebola outbreak - the potential and challenge of mobile network data.评论:遏制埃博拉疫情——移动网络数据的潜力与挑战
PLoS Curr. 2014 Sep 29;6:ecurrents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e. doi: 10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e.
10
EbolaTracks: an automated SMS system for monitoring persons potentially exposed to Ebola virus disease.埃博拉追踪系统:一个用于监测可能接触埃博拉病毒病的人员的自动短信系统。
Euro Surveill. 2015 Jan 8;20(1):20999. doi: 10.2807/1560-7917.es2015.20.1.20999.