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Demographic factors associated with COVID-19-related death in Palestine
OBJECTIVES: Understanding the case and death rates of COVID-19 in different countries should include socio-demographic variables to better guide health policies. We analysed COVID-19 cases in the Occupied Palestinian Territories (OPT) with attention to socio-demographic factors. STUDY DESIGN: A retr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129786/ https://www.ncbi.nlm.nih.gov/pubmed/34027510 http://dx.doi.org/10.1016/j.puhip.2021.100145 |
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author | Maraqa, Beesan Al-Shakhra, Kamal Alawneh, Moath Jallad, Rania Alkaila, Mai |
author_facet | Maraqa, Beesan Al-Shakhra, Kamal Alawneh, Moath Jallad, Rania Alkaila, Mai |
author_sort | Maraqa, Beesan |
collection | PubMed |
description | OBJECTIVES: Understanding the case and death rates of COVID-19 in different countries should include socio-demographic variables to better guide health policies. We analysed COVID-19 cases in the Occupied Palestinian Territories (OPT) with attention to socio-demographic factors. STUDY DESIGN: A retrospective chart review of laboratory confirmed COVID-19 cases was conducted between March and September 2020. METHODS: Demographic data such as age, gender, place of residence, pregnancy, and symptoms were analysed. Patients were divided into two outcome groups: discharged from quarantine restrictions and dead. RESULTS: A total of 15,338 confirmed cases was examined. COVID-19 cases tended to be young (48.2% were less than 30 years of age) with an average age of 34.3 ± 27.3, most were female (55.5%),and 20% smoked. Overall, 5183 (38%) were symptomatic and if pregnant, symptoms were more commonly reported (65.3%). The overall case-fatality was 0.93 [95% CI 0.83–1.04]. Males had a greater risk of death (OR = 2.7 [95%CI = 1.7–2.8], P < 0.001), as did those 60 years of age and older (OR = 52.0 [30.5–89.7], P < 0.001). CONCLUSION: Early detection of socio-demographic risk factors helps understand the case distribution and guide better planning, especially in countries with limited resources. Better targeting of interventions may help to limit more expensive interventions such as intensive care admissions and avoid deaths. Such data are also important for planning vaccination campaigns. |
format | Online Article Text |
id | pubmed-8129786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81297862021-05-18 Demographic factors associated with COVID-19-related death in Palestine Maraqa, Beesan Al-Shakhra, Kamal Alawneh, Moath Jallad, Rania Alkaila, Mai Public Health Pract (Oxf) Original Research OBJECTIVES: Understanding the case and death rates of COVID-19 in different countries should include socio-demographic variables to better guide health policies. We analysed COVID-19 cases in the Occupied Palestinian Territories (OPT) with attention to socio-demographic factors. STUDY DESIGN: A retrospective chart review of laboratory confirmed COVID-19 cases was conducted between March and September 2020. METHODS: Demographic data such as age, gender, place of residence, pregnancy, and symptoms were analysed. Patients were divided into two outcome groups: discharged from quarantine restrictions and dead. RESULTS: A total of 15,338 confirmed cases was examined. COVID-19 cases tended to be young (48.2% were less than 30 years of age) with an average age of 34.3 ± 27.3, most were female (55.5%),and 20% smoked. Overall, 5183 (38%) were symptomatic and if pregnant, symptoms were more commonly reported (65.3%). The overall case-fatality was 0.93 [95% CI 0.83–1.04]. Males had a greater risk of death (OR = 2.7 [95%CI = 1.7–2.8], P < 0.001), as did those 60 years of age and older (OR = 52.0 [30.5–89.7], P < 0.001). CONCLUSION: Early detection of socio-demographic risk factors helps understand the case distribution and guide better planning, especially in countries with limited resources. Better targeting of interventions may help to limit more expensive interventions such as intensive care admissions and avoid deaths. Such data are also important for planning vaccination campaigns. Elsevier 2021-05-18 /pmc/articles/PMC8129786/ /pubmed/34027510 http://dx.doi.org/10.1016/j.puhip.2021.100145 Text en © 2021 Published by Elsevier Ltd on behalf of The Royal Society for Public Health. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Maraqa, Beesan Al-Shakhra, Kamal Alawneh, Moath Jallad, Rania Alkaila, Mai Demographic factors associated with COVID-19-related death in Palestine |
title | Demographic factors associated with COVID-19-related death in Palestine |
title_full | Demographic factors associated with COVID-19-related death in Palestine |
title_fullStr | Demographic factors associated with COVID-19-related death in Palestine |
title_full_unstemmed | Demographic factors associated with COVID-19-related death in Palestine |
title_short | Demographic factors associated with COVID-19-related death in Palestine |
title_sort | demographic factors associated with covid-19-related death in palestine |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129786/ https://www.ncbi.nlm.nih.gov/pubmed/34027510 http://dx.doi.org/10.1016/j.puhip.2021.100145 |
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