Aarhus Universitets segl

Urban Health and Wellbeing

Publikation: Bidrag til bog/antologi/rapport/proceedingBidrag til bog/antologiForskningpeer review

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Urban Health and Wellbeing. / Sabel, Clive E.; Amegbor, Prince M.; Zhang, Zhaoxi et al.

Urban Informatics. Singapore : Springer, 2021. s. 259-280 (Urban Book Series).

Publikation: Bidrag til bog/antologi/rapport/proceedingBidrag til bog/antologiForskningpeer review

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APA

CBE

MLA

Sabel, Clive E. et al. "Urban Health and Wellbeing". Urban Informatics. Singapore: Springer. (Urban Book Series). 2021, 259-280. https://doi.org/10.1007/978-981-15-8983-6_17

Vancouver

Sabel CE, Amegbor PM, Zhang Z, Chen THK, Poulsen MB, Hertel O et al. Urban Health and Wellbeing. I Urban Informatics. Singapore: Springer. 2021. s. 259-280. (Urban Book Series). doi: 10.1007/978-981-15-8983-6_17

Author

Sabel, Clive E. ; Amegbor, Prince M. ; Zhang, Zhaoxi et al. / Urban Health and Wellbeing. Urban Informatics. Singapore : Springer, 2021. s. 259-280 (Urban Book Series).

Bibtex

@inbook{8ed4c3f793634d6b97e039d0f5a72650,
title = "Urban Health and Wellbeing",
abstract = "This chapter explores how the Internet of Things and the utilization of cutting-edge information technology are shaping global research and discourse on the health and wellbeing of urban populations. The chapter begins with a review of smart cities and health and then delves into the types of data available to researchers. The chapter then discusses innovative methods and techniques, such as machine learning, personalized sensing, and tracking, that researchers use to examine the health and wellbeing of urban populations. The applications of these data, methods, and techniques are then illustrated taking examples from BERTHA (Big Data Centre for Environment and Health) based at Aarhus University, Denmark. The chapter concludes with a discussion on issues of ethics, privacy, and confidentiality surrounding the use of sensitive and personalized data and tracking or sensing individuals across time and urban space.",
author = "Sabel, {Clive E.} and Amegbor, {Prince M.} and Zhaoxi Zhang and Chen, {Tzu Hsin Karen} and Poulsen, {Maria B.} and Ole Hertel and Torben Sigsgaard and Horsdal, {Henriette T.} and Pedersen, {Carsten B.} and Jibran Khan",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
doi = "10.1007/978-981-15-8983-6_17",
language = "English",
isbn = "978-981-15-8982-9",
series = "Urban Book Series",
publisher = "Springer",
pages = "259--280",
booktitle = "Urban Informatics",
address = "Netherlands",

}

RIS

TY - CHAP

T1 - Urban Health and Wellbeing

AU - Sabel, Clive E.

AU - Amegbor, Prince M.

AU - Zhang, Zhaoxi

AU - Chen, Tzu Hsin Karen

AU - Poulsen, Maria B.

AU - Hertel, Ole

AU - Sigsgaard, Torben

AU - Horsdal, Henriette T.

AU - Pedersen, Carsten B.

AU - Khan, Jibran

N1 - Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021

Y1 - 2021

N2 - This chapter explores how the Internet of Things and the utilization of cutting-edge information technology are shaping global research and discourse on the health and wellbeing of urban populations. The chapter begins with a review of smart cities and health and then delves into the types of data available to researchers. The chapter then discusses innovative methods and techniques, such as machine learning, personalized sensing, and tracking, that researchers use to examine the health and wellbeing of urban populations. The applications of these data, methods, and techniques are then illustrated taking examples from BERTHA (Big Data Centre for Environment and Health) based at Aarhus University, Denmark. The chapter concludes with a discussion on issues of ethics, privacy, and confidentiality surrounding the use of sensitive and personalized data and tracking or sensing individuals across time and urban space.

AB - This chapter explores how the Internet of Things and the utilization of cutting-edge information technology are shaping global research and discourse on the health and wellbeing of urban populations. The chapter begins with a review of smart cities and health and then delves into the types of data available to researchers. The chapter then discusses innovative methods and techniques, such as machine learning, personalized sensing, and tracking, that researchers use to examine the health and wellbeing of urban populations. The applications of these data, methods, and techniques are then illustrated taking examples from BERTHA (Big Data Centre for Environment and Health) based at Aarhus University, Denmark. The chapter concludes with a discussion on issues of ethics, privacy, and confidentiality surrounding the use of sensitive and personalized data and tracking or sensing individuals across time and urban space.

UR - http://www.scopus.com/inward/record.url?scp=85103961391&partnerID=8YFLogxK

U2 - 10.1007/978-981-15-8983-6_17

DO - 10.1007/978-981-15-8983-6_17

M3 - Book chapter

AN - SCOPUS:85103961391

SN - 978-981-15-8982-9

T3 - Urban Book Series

SP - 259

EP - 280

BT - Urban Informatics

PB - Springer

CY - Singapore

ER -