Spatially disaggregated population estimates in the absence of national population and housing census data.

Autor:	Wardrop NA; WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.; Flowminder Foundation, SE 11355 Stockholm, Sweden., Jochem WC; WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.; Flowminder Foundation, SE 11355 Stockholm, Sweden., Bird TJ; WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.; Flowminder Foundation, SE 11355 Stockholm, Sweden., Chamberlain HR; WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.; Flowminder Foundation, SE 11355 Stockholm, Sweden., Clarke D; WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.; Flowminder Foundation, SE 11355 Stockholm, Sweden., Kerr D; WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.; Flowminder Foundation, SE 11355 Stockholm, Sweden., Bengtsson L; WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.; Flowminder Foundation, SE 11355 Stockholm, Sweden., Juran S; Population and Development Branch, United Nations Population Fund, New York, NY 10158., Seaman V; Bill and Melinda Gates Foundation, Seattle, WA 98109., Tatem AJ; WorldPop, Department of Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom; A.J.Tatem@soton.ac.uk.; Flowminder Foundation, SE 11355 Stockholm, Sweden.
Jazyk:	angličtina
Zdroj:	Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2018 Apr 03; Vol. 115 (14), pp. 3529-3537. Date of Electronic Publication: 2018 Mar 19.
DOI:	10.1073/pnas.1715305115
Abstrakt:	Population numbers at local levels are fundamental data for many applications, including the delivery and planning of services, election preparation, and response to disasters. In resource-poor settings, recent and reliable demographic data at subnational scales can often be lacking. National population and housing census data can be outdated, inaccurate, or missing key groups or areas, while registry data are generally lacking or incomplete. Moreover, at local scales accurate boundary data are often limited, and high rates of migration and urban growth make existing data quickly outdated. Here we review past and ongoing work aimed at producing spatially disaggregated local-scale population estimates, and discuss how new technologies are now enabling robust and cost-effective solutions. Recent advances in the availability of detailed satellite imagery, geopositioning tools for field surveys, statistical methods, and computational power are enabling the development and application of approaches that can estimate population distributions at fine spatial scales across entire countries in the absence of census data. We outline the potential of such approaches as well as their limitations, emphasizing the political and operational hurdles for acceptance and sustainable implementation of new approaches, and the continued importance of traditional sources of national statistical data. Competing Interests: Conflict of interest statement: V.S. is an employee of the Bill and Melinda Gates Foundation, which funds multiple population mapping projects, including work lead by A.J.T. (Copyright © 2018 the Author(s). Published by PNAS.)
Databáze:	MEDLINE
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