A holistic big data approach to understand and manage increasing pollen-induced respiratory allergies under global change.

Ma, X; Huete, A; Liu, Y; Zhu, X; Nguyen, H; Miura, T; Chen, M; Li, X; Asrar, G

A holistic big data approach to understand and manage increasing pollen-induced respiratory allergies under global change.

Ma, X Huete, A

Liu, Y Zhu, X Nguyen, H Miura, T Chen, M Li, X Asrar, G

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: Glob Chang Biol, 2024, 30, (8), pp. e17451
Issue Date:: 2024-08

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Field	Value	Language
dc.contributor.author	Ma, X
dc.contributor.author	Huete, A https://orcid.org/0000-0003-2809-2376
dc.contributor.author	Liu, Y
dc.contributor.author	Zhu, X
dc.contributor.author	Nguyen, H
dc.contributor.author	Miura, T
dc.contributor.author	Chen, M
dc.contributor.author	Li, X
dc.contributor.author	Asrar, G
dc.date.accessioned	2024-12-16T00:16:30Z
dc.date.available	2024-07-22
dc.date.available	2024-12-16T00:16:30Z
dc.date.issued	2024-08
dc.identifier.citation	Glob Chang Biol, 2024, 30, (8), pp. e17451
dc.identifier.issn	1354-1013
dc.identifier.issn	1365-2486
dc.identifier.uri	http://hdl.handle.net/10453/182540
dc.description.abstract	<jats:p>Nearly a third of the world's population suffers from pollen‐induced respiratory allergies—and the number is rising. For those affected, the situation is becoming more stressful every year with climate change, rising atmospheric CO<jats:sub>2</jats:sub> levels, and urbanization. These phenomena form a complex interface between human health and global change, yet the critical information needed to unravel it remains fragmented. A holistic big data approach, with close collaboration between Earth system scientists and health experts, is urgently needed to achieve meaningful insights that advance our understanding and management of increasing pollen‐induced respiratory allergies under global change.</jats:p>
dc.format	Print
dc.language	eng
dc.publisher	WILEY
dc.relation	http://purl.org/au-research/grants/arc/DP210100347
dc.relation.ispartof	Glob Chang Biol
dc.relation.isbasedon	10.1111/gcb.17451
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	05 Environmental Sciences, 06 Biological Sciences
dc.subject.classification	Ecology
dc.subject.classification	31 Biological sciences
dc.subject.classification	37 Earth sciences
dc.subject.classification	41 Environmental sciences
dc.subject.mesh	Pollen
dc.subject.mesh	Big Data
dc.subject.mesh	Climate Change
dc.subject.mesh	Humans
dc.subject.mesh	Respiratory Hypersensitivity
dc.subject.mesh	Humans
dc.subject.mesh	Pollen
dc.subject.mesh	Respiratory Hypersensitivity
dc.subject.mesh	Climate Change
dc.subject.mesh	Big Data
dc.subject.mesh	Pollen
dc.subject.mesh	Big Data
dc.subject.mesh	Climate Change
dc.subject.mesh	Humans
dc.subject.mesh	Respiratory Hypersensitivity
dc.title	A holistic big data approach to understand and manage increasing pollen-induced respiratory allergies under global change.
dc.type	Journal Article
utslib.citation.volume	30
utslib.location.activity	England
utslib.for	05 Environmental Sciences
utslib.for	06 Biological Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Advanced Modelling and Geospatial lnformation Systems (CAMGIS)
utslib.copyright.status	closed_access	*
dc.date.updated	2024-12-16T00:16:29Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	30
utslib.citation.issue	8

Abstract:

Nearly a third of the world's population suffers from pollen‐induced respiratory allergies—and the number is rising. For those affected, the situation is becoming more stressful every year with climate change, rising atmospheric CO2 levels, and urbanization. These phenomena form a complex interface between human health and global change, yet the critical information needed to unravel it remains fragmented. A holistic big data approach, with close collaboration between Earth system scientists and health experts, is urgently needed to achieve meaningful insights that advance our understanding and management of increasing pollen‐induced respiratory allergies under global change.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/182540