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Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia
BACKGROUND: Saudi Arabia is one of the countries seriously affected by coronavirus disease 2019 (COVID-19) worldwide. With a few cases in early March, the daily spread of this disease increased to nearly 5000 at one point in time during the first wave to mid-June 2020. With committed efforts and pub...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261159/ https://www.ncbi.nlm.nih.gov/pubmed/35818412 http://dx.doi.org/10.1186/s42269-022-00876-z |
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author | Salam, Asharaf Abdul Al-Khraif, Rshood M. Dilip, Thandassery R. Elsegaey, Ibrahim |
author_facet | Salam, Asharaf Abdul Al-Khraif, Rshood M. Dilip, Thandassery R. Elsegaey, Ibrahim |
author_sort | Salam, Asharaf Abdul |
collection | PubMed |
description | BACKGROUND: Saudi Arabia is one of the countries seriously affected by coronavirus disease 2019 (COVID-19) worldwide. With a few cases in early March, the daily spread of this disease increased to nearly 5000 at one point in time during the first wave to mid-June 2020. With committed efforts and public health interventions, it has been controlled to nearly 1000 by the end of August 2020 and less than 217 by November 28, 2020; thereafter, reporting declines and small increases. However, by December 2021, a third wave started, lasting for 2 months, during which the infection rate increased rapidly. By April 1, 2022, the number of infected persons in the country was 750,998, with 9047 deaths, 7131 active, and approximately 400 critical cases. This analysis of COVID-19 statistics of the Ministry of Health of Saudi Arabia (March 2020–April 2022) is carried out along with population data to extract patient proportions per 100,000 persons to illustrate the hypothesized social and community impact, which influences families and households. RESULTS: The results showed a high rate of infection and mortality, but with recovery. These rates varied across localities and cities. A few cities with higher population densities are less affected by the spread of the epidemic. However, few localities and upcoming cities/townships were severely affected. These effects are explained as the percentage of the population affected, which exposes the impact on societies, families, and individual members. With concerted efforts, they are brought under control through recovery and adopting mitigation methods. CONCLUSIONS: Localities could be classified into four categories based on the proportion of the infected population: rapidly increasing, moderately increasing, declining, and stabilizing. Moreover, differential proportions of the affected population have implications at social and familial levels. Analysis and understanding of these trends, considering the base population, are important for policy building and intervention strategies accounting for grassroots-level demographics, which might serve as a tool to enhance interventions at population and family levels. Strategies for awareness creation and compassionate care are essential to address the psychosocial impact of health emergencies, as proved by the Ministry of Health, Saudi Arabia. |
format | Online Article Text |
id | pubmed-9261159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-92611592022-07-07 Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia Salam, Asharaf Abdul Al-Khraif, Rshood M. Dilip, Thandassery R. Elsegaey, Ibrahim Bull Natl Res Cent Research BACKGROUND: Saudi Arabia is one of the countries seriously affected by coronavirus disease 2019 (COVID-19) worldwide. With a few cases in early March, the daily spread of this disease increased to nearly 5000 at one point in time during the first wave to mid-June 2020. With committed efforts and public health interventions, it has been controlled to nearly 1000 by the end of August 2020 and less than 217 by November 28, 2020; thereafter, reporting declines and small increases. However, by December 2021, a third wave started, lasting for 2 months, during which the infection rate increased rapidly. By April 1, 2022, the number of infected persons in the country was 750,998, with 9047 deaths, 7131 active, and approximately 400 critical cases. This analysis of COVID-19 statistics of the Ministry of Health of Saudi Arabia (March 2020–April 2022) is carried out along with population data to extract patient proportions per 100,000 persons to illustrate the hypothesized social and community impact, which influences families and households. RESULTS: The results showed a high rate of infection and mortality, but with recovery. These rates varied across localities and cities. A few cities with higher population densities are less affected by the spread of the epidemic. However, few localities and upcoming cities/townships were severely affected. These effects are explained as the percentage of the population affected, which exposes the impact on societies, families, and individual members. With concerted efforts, they are brought under control through recovery and adopting mitigation methods. CONCLUSIONS: Localities could be classified into four categories based on the proportion of the infected population: rapidly increasing, moderately increasing, declining, and stabilizing. Moreover, differential proportions of the affected population have implications at social and familial levels. Analysis and understanding of these trends, considering the base population, are important for policy building and intervention strategies accounting for grassroots-level demographics, which might serve as a tool to enhance interventions at population and family levels. Strategies for awareness creation and compassionate care are essential to address the psychosocial impact of health emergencies, as proved by the Ministry of Health, Saudi Arabia. Springer Berlin Heidelberg 2022-07-07 2022 /pmc/articles/PMC9261159/ /pubmed/35818412 http://dx.doi.org/10.1186/s42269-022-00876-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Salam, Asharaf Abdul Al-Khraif, Rshood M. Dilip, Thandassery R. Elsegaey, Ibrahim Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia |
title | Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia |
title_full | Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia |
title_fullStr | Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia |
title_full_unstemmed | Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia |
title_short | Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia |
title_sort | coronavirus disease 2019 in proportion to population: a historical analysis of saudi arabia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261159/ https://www.ncbi.nlm.nih.gov/pubmed/35818412 http://dx.doi.org/10.1186/s42269-022-00876-z |
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