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Coronavirus disease 2019 in proportion to population: a historical analysis of Saudi Arabia
Asharaf Abdul Salam1, Rshood M Al-Khraif1, Thandassery R Dilip2
1King Saud University Center for Population Studies, PB No. 2454, Riyadh, 11451 Saudi Arabia.
Insights
Saudi Arabia experienced significant coronavirus disease 2019 (COVID-19) waves, with infection and mortality rates varying by location. Understanding population impact is key for effective public health interventions and community support strategies.
Area of Science:
- Epidemiology
- Public Health
- Sociology
Background:
- Saudi Arabia faced severe impacts from coronavirus disease 2019 (COVID-19), with daily cases peaking near 5000 in the first wave.
- Despite interventions, the country experienced a third wave in December 2021, leading to over 750,000 infections and 9000 deaths by April 2022.
Purpose of the Study:
- To analyze COVID-19 statistics in Saudi Arabia from March 2020 to April 2022.
- To calculate patient proportions per 100,000 persons to understand the social and community impact of the pandemic on families and households.
Main Methods:
- Analysis of COVID-19 case data from the Saudi Ministry of Health.
- Integration of population data to determine infection rates per capita.
- Classification of localities based on infection trends.
Main Results:
- Infection and mortality rates varied significantly across different cities and localities.
- Higher population density did not always correlate with higher infection rates; some less populated areas were severely affected.
- The proportion of the population affected highlights the pandemic's impact on societies, families, and individuals.
Conclusions:
- Localities can be categorized into four groups based on infection trends: rapidly increasing, moderately increasing, declining, and stabilizing.
- Understanding population-adjusted trends is crucial for policy-making and targeted intervention strategies.
- Awareness campaigns and compassionate care are vital for addressing the psychosocial impact of health emergencies.
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.
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