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<h1>COVID-19 Community Response Wiki</h1> <p><br></p> <p>This project is a collaboration between the <a href="https://phw.nhs.wales/services-and-teams/knowledge-directorate/research-and-evaluation/" rel="nofollow">Public Health Wales Research & Evaluation Division</a> and the <a href="https://dynamicgenetics.org/" rel="nofollow">Dynamic Genetics group</a> at the University of Bristol's <a href="http://www.bristol.ac.uk/integrative-epidemiology/" rel="nofollow">MRC Integrative Epidemiology Unit</a>.</p> <p>The pages found here will tell you about the data that is presented on the dashboard, where we found it and how calculations on the dashboard are made. You can browse the pages through the sidebar on the left hand side.</p> <hr> <p>@<a href="" rel="nofollow">toc</a></p> <hr> <h3>Background</h3> <p>Since the pandemic started communities have been mobilising to help each other; from shopping for elderly neighbours, to offering a friendly face or other support. This map is part of an effort to better understand which communities have better community cohesion and organisation. </p> <p>Understanding which communities are vulnerable during this pandemic can help government agencies and third sector organisations consider which areas need the most help. Community support can offer a protective factor against adverse events. Some areas are more vulnerable than others and this map highlights the areas where the balance between support and need suggests that they could benefit from additional support. </p> <p>We have presented the data we have collected as elements of ‘local support’ and ‘local need’ on a map of Wales, that allows users to choose which variables they would like to explore. To see the map, or read more about how to use it, <a href="https://covidresponsemap.wales/" rel="nofollow">please visit the map's website here</a>. </p> <hr> <h3>Code Availability</h3> <p>The code that was used to process the data and generate the website can be found on our GitHub repository, which is available <a href="https://github.com/DynamicGenetics/COVID-19-Community-Response" rel="nofollow">here</a>. </p> <hr> <h3>Team</h3> <p><br></p> <h4>University of Bristol</h4> <p>Dr Oliver Davis - <em>Associate Professor and Turing Fellow</em></p> <p>Dr Valerio Maggio - <em>Senior Research Associate in Data Science and AI</em></p> <p>Dr Alastair Tanner - <em>Research Software Engineer</em></p> <p>Nina Di Cara - <em>Doctoral Researcher</em></p> <p>Chris Moreno-Stokoe - <em>Doctoral Researcher</em></p> <p>Benjamin Woolf - <em>Doctoral Researcher</em></p> <p><br></p> <h4>Public Health Wales</h4> <p>Dr Alisha Davies - <em>Head of Research & Evaluation</em></p> <p>Dr Jiao Song - <em>Public Health Research Statistician</em></p> <p>Elysha Rhys-Sambrook - <em>Project Support Officer</em></p> <p>Lucia Homolova - <em>Public Health Research Assistant</em></p> <hr> <h3>Acknowledgements and Thanks</h3> <p>We kindly thank the Wales Council for Voluntary Action, COVID-19 Mutual Aid, Welsh Government Statistics and Research, and the Office for National Statistics for collecting and making this data available. We also thank Open Street Map for their map of Wales. </p> <p>This work also uses data provided by participants of the <a href="https://covid.joinzoe.com/" rel="nofollow">COVID-19 Symptoms Study</a>, developed, and set up by ZOE Global Limited with scientific and clinical input from King’s College London. We would also like to acknowledge all data providers who made anonymised data available for research.</p> <p>We wish to acknowledge the collaborative partnership that enabled acquisition and access to the de-identified data, which led to this output. The collaboration was led by BREATHE – The Health Data Research Hub for Respiratory Health, in partnership with <a href="https://saildatabank.com/" rel="nofollow">SAIL Databank</a> at Swansea University. We wish to acknowledge the input of ZOE Global Limited and King’s College London in their development and sharing of the data, and their input into the understanding and contextualisation of data for COVID-19 research. All research conducted has been completed under the permission and approval of SAIL independent Information Governance Review Panel (IGRP) project number 1095.</p> <hr>
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