Imperial College London
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Dr Frédéric B. Piel

Faculty of Medicine, School of Public Health

Senior Lecturer
 
 
 
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Contact

 

f.piel

 
 
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Location

 

1112Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Fecht:2020:ije/dyz179,
author = {Fecht, D and Piel, F and Cockings, S and Hodgson, S and Martin, D and Waller, LA},
doi = {ije/dyz179},
journal = {International Journal of Epidemiology},
pages = {i15--i25},
title = {Advances in mapping population and demographic characteristics at small area levels},
url = {http://dx.doi.org/10.1093/ije/dyz179},
volume = {49},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Temporally and spatially highly resolved information on population characteristics, including demographic profile (e.g. age and sex), ethnicity and socio-economic status (e.g. income, occupation, education), are essential for observational health studies at the small-area level. Time-relevant population data are critical as denominators for health statistics, analytics and epidemiology, to calculate rates or risks of disease. Demographic and socio-economic characteristics are key determinants of health and important confounders in the relationship of environmental contaminants and health. In many countries, census data have long been the source of small-area population denominators and confounder information. A strength of the traditional census model has been its careful design and high level of population coverage, allowing high-quality detailed data to be released for small areas periodically, e.g. every ten years. The timeliness of data, however, becomes a challenge when temporally and spatially highly accurate annual (or even more frequent) data at high spatial resolution 31are needed, for example, for health surveillance and epidemiological studies. Additionally, the approach to collecting demographic population information is changing in the era of openand big data and may eventually evolve to using combinations of administrative and other data, supplemented by surveys. We discuss different approaches to address these challenges including a) the U. S. American Community Survey, a rolling sample of the U.S. population census, b) the use of spatial analysis techniques to compile temporally and spatially high-resolution demographic data, and c) the use of administrative and big data sources as proxies for demographic characteristics.
AU  - Fecht,D
AU  - Piel,F
AU  - Cockings,S
AU  - Hodgson,S
AU  - Martin,D
AU  - Waller,LA
DO  - ije/dyz179
EP  - 25
PY  - 2020///
SN  - 1464-3685
SP  - 15
TI  - Advances in mapping population and demographic characteristics at small area levels
T2  - International Journal of Epidemiology
UR  - http://dx.doi.org/10.1093/ije/dyz179
UR  - http://hdl.handle.net/10044/1/71647
VL  - 49
ER  -
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