| Title: |
Making the invisible visible: using national surveillance data to identify people experiencing homelessness in England with COVID-19 |
| Authors: |
Capelastegui, Fernando; Flannagan, Joe; Augarde, Elizabeth; Tessier, Elise; Chudasama, Dimple; Dabrera, Gavin; Lamagni, Theresa; Campos-Matos, Ines |
| Source: |
Epidemiology and Infection ; volume 151 ; ISSN 0950-2688 1469-4409 |
| Publisher Information: |
Cambridge University Press (CUP) |
| Publication Year: |
2023 |
| Description: |
Persons experiencing homelessness (PEH) or rough sleeping are a vulnerable population, likely to be disproportionately affected by the coronavirus disease 2019 (COVID-19) pandemic. The impact of COVID-19 infection on this population is yet to be fully described in England. We present a novel method to identify COVID-19 cases in this population and describe its findings. A phenotype was developed and validated to identify PEH or rough sleeping in a national surveillance system. Confirmed COVID-19 cases in England from March 2020 to March 2022 were address-matched to known homelessness accommodations and shelters. Further cases were identified using address-based indicators, such as NHS pseudo postcodes. In total, 1835 cases were identified by the phenotype. Most were |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1017/s095026882300033x |
| Availability: |
https://doi.org/10.1017/s095026882300033x; https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S095026882300033X |
| Rights: |
http://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.5F87605B |
| Database: |
BASE |