The Early Warning System
How frontline evidence helps us understand the UK’s social security response to Covid-19
Bibliographic Data
| ID | 12937419 |
|---|---|
| Authors | Katie Pybus (0000-0002-9990-125X, University of York, corresponding author), Geoff Page (University of York), Lynsey Dalton (Action for ME), Ruth Patrick (0000-0002-3284-6313, University of York) |
| Year | 2021 |
| Volume | 29 |
| Issue | 2 |
| Pages | 221-230 |
| Publication date | 2021-05-26 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Poverty and Social Justice (JOURNAL) |
| Journal identifiers | ISSN: 1759-8273 • E-ISSN: 1759-8281 |
| Publisher | Policy Press (PUBLISHER • GB) |
| DOI | 10.1332/175982721x16184951904307 |
| OpenAlex | W3165866194 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
This article reports on the Child Poverty Action Group Early Warning System (EWS), a database of case studies representing social security issues reported directly by frontline benefits advice workers and benefit claimants. It outlines what data from the EWS can tell us about how the social security system is functioning and how it has responded during the pandemic. It further details how insights from the EWS can be used by researchers and policymakers seeking to understand the role of social security in supporting families living on a low income and in advocating for short- and longer-term policy change
Action (physics · Business · Coronavirus disease 2019 (COVID-19 · Criminology · Internet privacy · Pandemic · Political science · Poverty · Public relations · Social security · Warning system · Computer Science · Employment and Welfare Studies · Homelessness and Social Issues · Law · Medicine · Psychology · Social Policy and Reform Studies
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |