Isolation and Exclusion in a Social Distancing Covid World

This data browser gives users the ability to visualise impacts that could be witnessed under certain combinations of Covid-19 restrictions. Please choose a scenario from the left hand panel. The map covers Local Authorities across Yorkshire and the Humber.

Please be aware that the legend is consistent betweeen scenarios with the same number of restrictions but is not comparable when comparing, for example, 'Shielding' with 'Shielding, School closure, Furlough, and Limited to local area'.

Additional detail regarding the project is available on the Background and Context tab. Data acknowlegments and citations are also available in the Data tab.

Rosalind Martin 2021, Data Scientist Intern at the Leeds Institute for Data Analytics. Supervised by Rachel Franklin, University of Newcastle.

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There are 32 unique combinations of the five scenarios tested here. Please be aware that not all of these combinations are displayed on this dashboard For example, scenarios with single person households and school closure cannot be displayed as no data exist for them. Children aged 13 and under do not live alone.

Rosalind Martin 2021, Data Scientist Intern at the Leeds Institute for Data Analytics. Supervised by Rachel Franklin, University of Newcastle.

Population Data

This map displays a count of household level impacts using SPENSER data as a base dataset. SPENSER is a syntethic micro-population. Funding for SPENSER is provided by the Alan Turing Institute (project reference R-LEE-004). The leaflet map currently displays data for Local Authorities across West Yorkshire (Bradford - E08000032, Calderdale - E08000033, Kirklees - E08000034, Leeds - E08000035 and Wakefield - E08000036), South Yorkshire (Barnsley - E08000016, Doncaster - E08000017, Rotherham - E08000018 and Sheffield - E08000019) and North Yorkshire ( Craven - E0700163, Hambleton - - E0700164, Harrogate - E0700165, Richmondshire - E0700166, Ryedale - E0700167, Scarborough - E0700168 and Selby - E0700169.

Lomax, N., & Smith, A. (2017). Microsimulation for demography. Australian Population Studies, 1(1), 73-85. https://www.australianpopulationstudies.org/index.php/aps/article/view/14 .

Small area geographies

Middle Layer Super Output Area (MSOA) boundaries were downloaded from the UK Data Service (UKDS).

Contains National Statistics data © Crown copyright and database right 2021

Contains OS data © Crown copyright [and database right] (2021)

Office for National Statistics (2011). 2011 Census: boundary data (England and Wales) [data collection]. UK Data Service. SN:5819 UKBORDERS: Digitised Boundary Data, 1840- and Postcode Directories, 1980-. http://discover.ukdataservice.ac.uk/catalogue/?sn=5819&type=Data%20catalogue , retrieved from http://census.ukdataservice.ac.uk/get-data/boundary-data.aspx . Contains public sector information licensed under the Open Government Licence v3.

Shielding

Health data was obtained via 2011 census data from the UKDS' InFuse dashboard. Individuals with ill health was determined as individuals who answered day-to-day activities limited a lot in response to whether they have a long-term disability that limits their day-to-day activities that has lasted, or is expected to last, at least 12 months.

Office for National Statistics ; National Records of Scotland ; Northern Ireland Statistics and Research Agency (2017): 2011 Census aggregate data. UK Data Service (Edition: February 2017). DOI: http://dx.doi.org/10.5257/census/aggregate-2011-2 . This information is licensed under the terms of the Open Government Licence [http://www.nationalarchives.gov.uk/doc/open-government-licence/version/2]

The percentage of individuals with ill health who were then assigned to be shielding was obtained from NHS Digital's Coronavirus Shielded Patient List open data set for England . The percentage was correct for 'North East and Yorkshire' as of Febrary 2021.

Furlough

Industry data was obtained via the Office for National Statistics' NOMIS table finder. A representative number of individuals were assigned to the Acommodation and Food Service Activities Industries, Arts, Entertainment and Recreation Industries and Wholesale and Retail Trade; Repair of Motor Vehicles and Motocylces Industries. These data came from the 2011 Industry(QS605EW) Census Table.

Green space data

Access to green space data, was obtained from the Consumer Data Research Centre's Access To Healthy Assets and Hazards dataset .

English Indices of Deprivation Score 2019

The Indices of Deprivation Score is obtained from 'File 5: scores for the indices of deprivation' file found on https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019 . These data are reported at the Lower Layer Super Output Area (LSOA) level.

Economic Insecurity Indices 2020

The Economic Insecurity values for the older population (over 65s) and the working age population are both directly obtained from https://www.mylocalmap.org.uk/iaahealth/ . These data are reported at the Middle Layer Super Output Area (MSOA) level and are displayed here with permission.

Smith, D., Moon, G. and Roderick, P. 2020. Indices of Economic Insecurity: Version 2, August 2020. GeoData Institute, University of Southampton . [Online]. [Accessed 18th March 2020. Available from: https://www.mylocalmap.org.uk/iaahealth/

Acknowledgments

This project was completed by Rosalind Martin, Data Scientist Intern at the Leeds Institute for Data Analytics. The project was supervised by Rachel Franklin at Newcastle University and Susan Grant-Muller, Alison Heppenstall and Victoria Houlden all of the University of Leeds. The project was funded by Consumer Data Research Centre.

Martin, R., Franklin, R., Grant-Muller, S., Heppenstall, A. and Houlden, V. (2021). Isolation and Exclusion in a Social Distancing World. [Online]. [Date Accessed]. Available from: http://20.61.178.11:3838/

Contact

Please email Rosalind Martin at R.Martin5@leeds.ac.uk if you have any comment, queries, or issues.