Smith, D;
Thompson, C;
Harland, K;
Parker, S;
Shelton, N;
(2018)
Identifying populations and areas at greatest risk of household food insecurity in England.
Applied Geography
, 91
pp. 21-31.
10.1016/j.apgeog.2017.12.022.
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Abstract
Despite the increasing recognition of household food insecurity as a policy issue, there is currently no routine measurement of food insecurity in the UK. There is nothing to suggest that Government will address this in the near future for all parts of the UK. In which case, policy makers and campaigners might instead seek out consistent and robust measures of the population-level factors which are known to contribute to food insecurity. However, no systematic measures exist, meaning that resources may not be targeted at those areas most in need. This paper presents the first objective estimate of high population-level risk of household food insecurity in English neighbourhoods (4.09% of the population, 95%CI 4.08-4.10) using public data. Estimated geographic distribution of factors contributing to household food insecurity is customisable to local pressures and is adaptable to settings outside of England.
| Type: | Article |
|---|---|
| Title: | Identifying populations and areas at greatest risk of household food insecurity in England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.apgeog.2017.12.022 |
| Publisher version: | https://doi.org/10.1016/j.apgeog.2017.12.022 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | food insecurity, secondary data analysis, GIS, population estimation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10040795 |
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