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LIDA Seminar / 27th November 2020 @ 12:00 pm - 1:00 pm

LIDA Seminar Series 14th January 2021

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https://us02web.zoom.us/j/86220736817

Meeting ID: 862 2073 6817

Presentation 1:Analysing COVID-19 Mobility Responses through Passively Collected App Data

By: George Breckenridge

Abstract: This talk presents an introduction to the fast-changing scene of mobility analytics and how such data are being used to assist with public health responses to Covid-19. It will begin by challenging the assumptions Covid-19 poses for traditional mobility patterns, before then classifying the types of mobility data available and reviewing calls from the public health literature to use such data to inform ‘Non-Pharmaceutical Interventions’ (NPIs). It will then consider the ethical and analytical limitations inherent in using these forms of passive smartphone app data, before introducing our analyses of Cuebiq mobility data as these relate to the UK Covid-19 lockdown(s).

 

Presentation 2:Analysing COVID-19 Mobility Responses through Passively Collected App Data

By: Stuart Ross

Abstract:The governmental changes to the original “five-day Christmas policy” seemed to be received with mixed opinions from the UK public. The government did so to quell the spread of COVID-19 and the newly discovered more contagious variant.  This Analysis uses mobile phone location data to address three questions. What did the public do on Christmas day? Were the Governments regulations adhered to? What was the impact of Christmas on COVID-19 cases ?

 

Presentation 3: New insights into workplace and retail dynamics for English and Welsh cities

By: Sebastian Heslin-Rees

Abstract: Commercial areas and the businesses that inhabit them are not just an important addition to the vitality of urbanised areas but in many ways are essential to the ability of these places to flourish. This project has been utilising the newly available Whythawk dataset to construct a model for presenting and thus, understanding the spatial distributions of commercial areas across England and Wales. Largely, this has involved clustering workplaces of similar characteristics to distil a set of key workplace types, which can then subsequently be mapped and analysed. In addition, the dataset has made available details of workplaces that have not been present in previous workplace datasets, such as distinguishing different workplace functions within multi-level building complexes. Consequently, this could provide additional insights and novel avenues for academic research and policy initiatives.

 

Presentation 4: Local Data Spaces Capability Support with ONS and ADR UK

By: Simon Leech

Abstract: This project is a joint venture by the Joint Biosecurity Centre (JBC); Office for National Statistics (ONS) and the ESRC’s Administrative Data Research UK (ADR UK) programme. The Local Data Spaces (LDS) project is being funded by ADR UK to utilise COVID-19 data hosted within the ONS Secure Research Service (SRS) in response to Local Authority user needs identified by JBC arising from the COVID-19 pandemic. The principal research objective of this project is ”to use health data from the Test and Trace programme, non-health data provisioned by the ONS and the JBC and Local Authority ingested data to create novel and innovative insights in support of individual Local Authority policy needs”.

Myself, and three other academic researchers (from University College London and the University of Liverpool), are engaged in this project to work with Local Authorities to produce policy-relevant analyses, data outputs and data linkages. This work is directed by the needs of Local Authorities, which includes understanding diverse research questions such as:  occupational inequalities in infection/mortality of COVID-19 and economic inequalities in sectoral pressures.  This work will use secured ONS datasets such as: NHS Test and Trace Data, COVID-19 Surveys, any relevant Local Authority datasets, the Index of Multiple Deprivation (IMD) and Access to Healthy Assets & Hazards (AHAH).

The outputs generated from this will include: data visualisations; aggregated data, descriptive statistics and trends; open-source methodology and code. It is hoped that this work will inform policy and decision making in Local Authorities, by providing high-quality data and analysis in response to specific Local Authority needs. This work may also produce academic publications depending on the nature of Local Authorities requirements.

 

 

If you wish to ask the presenters any questions or offer feedback, please  email LIDA

Details

Date:
27th November 2020
Time:
12:00 pm - 1:00 pm
Event Category: