A data fusion approach to the estimation of temporary populations: An application to Australia

This study establishes a new method for estimating the monthly Average Population Present (APP) in Australian regions. Conventional population statistics, which enumerate people where they usually live, ignore the significant spatial mobility driving short term shifts in population numbers. Estimate...

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Autores principales:	Elin Charles-Edwards, Jonathan Corcoran, Julia Loginova, Radoslaw Panczak, Gentry White, Alexander Whitehead
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d88dfdb5a0854d81a66a84913a88265f
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spelling	oai:doaj.org-article:d88dfdb5a0854d81a66a84913a88265f2021-11-18T08:14:34ZA data fusion approach to the estimation of temporary populations: An application to Australia1932-6203https://doaj.org/article/d88dfdb5a0854d81a66a84913a88265f2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584718/?tool=EBIhttps://doaj.org/toc/1932-6203This study establishes a new method for estimating the monthly Average Population Present (APP) in Australian regions. Conventional population statistics, which enumerate people where they usually live, ignore the significant spatial mobility driving short term shifts in population numbers. Estimates of the temporary or ambient population of a region have several important applications including the provision of goods and services, emergency preparedness and serve as more appropriate denominators for a range of social statistics. This paper develops a flexible modelling framework to generate APP estimates from an integrated suite of conventional and novel data sources. The resultant APP estimates reveal the considerable seasonality in small area populations across Australia’s regions alongside the contribution of domestic and international visitors as well as absent residents to the observed monthly variations. The modelling framework developed in the paper is conceived in a manner such that it can be adapted and re-deployed both for use with alternative data sources as well as other situational contexts for the estimation of temporary populations.Elin Charles-EdwardsJonathan CorcoranJulia LoginovaRadoslaw PanczakGentry WhiteAlexander WhiteheadPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Elin Charles-Edwards Jonathan Corcoran Julia Loginova Radoslaw Panczak Gentry White Alexander Whitehead A data fusion approach to the estimation of temporary populations: An application to Australia
description	This study establishes a new method for estimating the monthly Average Population Present (APP) in Australian regions. Conventional population statistics, which enumerate people where they usually live, ignore the significant spatial mobility driving short term shifts in population numbers. Estimates of the temporary or ambient population of a region have several important applications including the provision of goods and services, emergency preparedness and serve as more appropriate denominators for a range of social statistics. This paper develops a flexible modelling framework to generate APP estimates from an integrated suite of conventional and novel data sources. The resultant APP estimates reveal the considerable seasonality in small area populations across Australia’s regions alongside the contribution of domestic and international visitors as well as absent residents to the observed monthly variations. The modelling framework developed in the paper is conceived in a manner such that it can be adapted and re-deployed both for use with alternative data sources as well as other situational contexts for the estimation of temporary populations.
format	article
author	Elin Charles-Edwards Jonathan Corcoran Julia Loginova Radoslaw Panczak Gentry White Alexander Whitehead
author_facet	Elin Charles-Edwards Jonathan Corcoran Julia Loginova Radoslaw Panczak Gentry White Alexander Whitehead
author_sort	Elin Charles-Edwards
title	A data fusion approach to the estimation of temporary populations: An application to Australia
title_short	A data fusion approach to the estimation of temporary populations: An application to Australia
title_full	A data fusion approach to the estimation of temporary populations: An application to Australia
title_fullStr	A data fusion approach to the estimation of temporary populations: An application to Australia
title_full_unstemmed	A data fusion approach to the estimation of temporary populations: An application to Australia
title_sort	data fusion approach to the estimation of temporary populations: an application to australia
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/d88dfdb5a0854d81a66a84913a88265f
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A data fusion approach to the estimation of temporary populations: An application to Australia

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