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. 2022 Dec 12;14(12):2771.
doi: 10.3390/v14122771.

The Effect of Preventive Measures and Vaccination against SARS-CoV-2 on the Infection Risk, Treatment, and Hospitalization: A Cross-Sectional Study of Algeria

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The Effect of Preventive Measures and Vaccination against SARS-CoV-2 on the Infection Risk, Treatment, and Hospitalization: A Cross-Sectional Study of Algeria

Ahmed Hamimes et al. Viruses. .

Abstract

Coronavirus disease (COVID-19) caused by the SARS-CoV-2 virus continues to afflict many countries around the world. The resurgence of COVID-19 cases and deaths in many countries shows a complacency in adhering to preventive guidelines. Consequently, vaccination continues to be a crucial intervention to reduce the effects of this pandemic. This study investigated the impact of preventive measures and COVID-19 vaccination on the infection, medication, and hospitalization. A cross-sectional online survey was conducted between 23 December 2021 and 12 March 2022 in Algeria. To evaluate the effectiveness of strategies aimed at avoiding and minimizing SARS-CoV-2 infection and severity, a questionnaire was created and validated. Descriptive statistics and logistic regression analyses were computed to identify associations between dependent and independent variables. Variables with a p-value of < 0.05 were considered statistically significant. Our results indicated that out of 2294 answers received, only 16% of our sample was vaccinated, and more than 60% did not apply preventive guidelines. As a result, 45% were infected with SARS-CoV-2, 75% took treatment (even preventive), and 9% were hospitalized. The logistic regression showed that the impact of preventive measures on the unvaccinated is statistically not significant (OR: 0.764, 95% CI = 0. 555-1.052; p = 0.09). However, this relationship changes significantly for people who are vaccinated (OR: 0.108, 95% CI = 0.047-0.248; p < 0.0001). Our results also demonstrated that the impact of protective measures on non-vaccinated individuals is statistically significant in reducing the need to receive anti-COVID-19 treatments (OR: 0.447, 95% CI = 0.321-0.623; p < 0.0001). Furthermore, the results showed that the impact of preventive measures on the non-vaccinated population is also statistically significant in reducing the risk of hospitalization (OR: 0.211, 95% CI = 0.081-0.548; p < 0.0001). Moreover, vaccinated individuals who neglect preventive measures must take the COVID-19 medication at a rate of 3.77 times (OR: 3.77) higher than those who follow preventive measures and are vaccinated. In short, our findings demonstrate the importance of combining preventive measures and vaccination in order to fight against the pandemic. Therefore, we advise the Ministry of Health and relevant authorities to put more effort into enhancing public knowledge about the COVID-19 infection and vaccination through education and awareness initiatives. Parallel to implementing vaccination as additional preventive strategy, behavioral change initiatives must be improved to encourage adherence to COVID-19 prevention recommendations.

Keywords: Algeria; COVID-19; SARS-CoV-2; preventive measures; vaccination.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The relationship between age and the dependent variable Y2 in both models.
Figure 2
Figure 2
Relationship charts between the dependent variable Y1 and the two explanatory variables X1,X2.
Figure 3
Figure 3
The relationship between age and the dependent variable Y2 in both models.
Figure 4
Figure 4
The relationship between age and the dependent variable Y2 and the two explanatory variables X1andX2.
Figure 5
Figure 5
Relationship between the dependent variable Y3 and the age variable.
Figure 6
Figure 6
Relationship between the dependent variable Y3 and the two explanatory variables X1andX2.

References

    1. Coronavirus Disease (COVID-19)—World Health Organization. [(accessed on 14 October 2022)]. Available online: https://www.who.int/emergencies/diseases/novel-coronavirus-2019.
    1. Hoogeveen J.G., Lopez-Acevedo G., editors. Distributional Impacts of COVID-19 in the Middle East and North Africa Region. The World Bank; Washington, DC, USA: 2021.
    1. Gatti R., Lederman D., Fan R.Y., Hatefi A., Nguyen H., Sautmann A., Sax J.M., Wood C.A. Overconfident: How Economic and Health Fault Lines Left the Middle East and North Africa Ill-Prepared to Face COVID-19. World Bank; Washington, DC, USA: 2021.
    1. Global Health Institute|COVID-19 Dashboard. [(accessed on 27 October 2022)]. Available online: https://ghi.aub.edu.lb/covid-19-dashboard/
    1. Barakat A.M., Kasemy Z.A. Preventive Health Behaviours during Coronavirus Disease 2019 Pandemic Based on Health Belief Model among Egyptians. Middle East Curr. Psychiatry. 2020;27:43. doi: 10.1186/s43045-020-00051-y. - DOI

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