Post-Vaccination Serological Evaluation of COVID-19 in the Population of Kenitra, Morocco

Background Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV- 2) is responsible for Coronavirus Disease 2019 (COVID-19) and is considered one of the most challenging pandemics of the 21st century. This complex situation has brought together scientists and healthcare professionals to develop new vaccines that are both safe and quick to produce. Method The present study aims to evaluate the effects of COVID-19 vaccination on the serology of 701 patients attending healthcare centers in the province of Kenitra (Rabat-Salé- Kenitra region) based on various demographic and clinical parameters. The types of vaccines administered (Sinopharm, AstraZeneca, Johnson & Johnson, Pfizer) and vaccination schedules were examined, highlighting variations in immune responses. Subsequently, logistic regression analysis was used to assess the contributions of variables such as age, gender, comorbidities, types of vaccines administered, and history of COVID-19 infection. Results Data analysis reveals a slight female predominance among participants (55.9%), a diverse age distribution ([55-60], 12.8%), and a significant prevalence of comorbidities, mainly diabetes and hypertension (49.9% with diabetes). The results showed that age and history of COVID-19 infection had a significant influence on serological responses. Conclusion This finding could help practitioners and public health professionals optimize vaccination strategies for future epidemics. Bangladesh Journal of Medical Science Vol. 24 No. 02 April’25 Page : 478-486

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Journal
Bangladesh Journal of Medical Science
Published
2025-05-17
DOI
https://doi.org/10.3329/bjms.v24i2.81532
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
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article

Post-Vaccination Serological Evaluation of COVID-19 in the Population of Kenitra, Morocco

Sara Ait Lachguer, Badreddine Dahou, Mohammed Chahboune, Amine Rkhaila et al.
Bangladesh Journal of Medical Science
SARS-CoV-2 and COVID-19 Research
article

Post-Vaccination Serological Evaluation of COVID-19 in the Population of Kenitra, Morocco

Sara Ait Lachguer, Badreddine Dahou, Mohammed Chahboune, Amine Rkhaila, Amina Bouziani, Sara El Fellaq
article en

Abstract

Background Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV- 2) is responsible for Coronavirus Disease 2019 (COVID-19) and is considered one of the most challenging pandemics of the 21st century. This complex situation has brought together scientists and healthcare professionals to develop new vaccines that are both safe and quick to produce. Method The present study aims to evaluate the effects of COVID-19 vaccination on the serology of 701 patients attending healthcare centers in the province of Kenitra (Rabat-Salé- Kenitra region) based on various demographic and clinical parameters. The types of vaccines administered (Sinopharm, AstraZeneca, Johnson & Johnson, Pfizer) and vaccination schedules were examined, highlighting variations in immune responses. Subsequently, logistic regression analysis was used to assess the contributions of variables such as age, gender, comorbidities, types of vaccines administered, and history of COVID-19 infection. Results Data analysis reveals a slight female predominance among participants (55.9%), a diverse age distribution ([55-60], 12.8%), and a significant prevalence of comorbidities, mainly diabetes and hypertension (49.9% with diabetes). The results showed that age and history of COVID-19 infection had a significant influence on serological responses. Conclusion This finding could help practitioners and public health professionals optimize vaccination strategies for future epidemics. Bangladesh Journal of Medical Science Vol. 24 No. 02 April’25 Page : 478-486

Bangladesh Journal of Medical ScienceVol. 24(2)
Université Ibn-Tofail (MA)
Openalex Percentile: Top 86%
SARS-CoV-2 and COVID-19 Research
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Post-Vaccination Serological Evaluation of COVID-19 in the Population of Kenitra, Morocco — Sara Ait Lachguer, Badreddine Dahou, et al. · Bangladesh Journal of Medical Science (2025) | TGRS Research Map | TGRS