| Literature DB >> 34869828 |
Marwan Jabr Alwazzeh1, Laila Mohammed Telmesani2, Abdulaziz Saud AlEnazi2, Lamia Abdulwahab Buohliqah3, Roa Talal Halawani4, Noor-Ahmed Jatoi5, Arun Vijay Subbarayalu6, Fahd Abdulaziz Almuhanna7.
Abstract
Coronavirus Disease 2019 (COVID-19) pandemic is still on-going worldwide. The available information regarding the seasonal influenza vaccine (SIV) coverage during the COVID-19 pandemic and its impact on SARS-CoV-2 spread are limited. Moreover, it is argued that SIV may or may not lessen the COVID-19 severity. No previous studies have been revealed SIV coverage among COVID-19 patients and its association with COVID-19 spread and severity, especially in Saudi Arabia. Hence, this study aimed to estimate the influenza vaccine uptake in confirmed COVID-19 patients and investigate its impact on COVID-19 spread and severity. Accordingly, 1734 COVID-19 confirmed patients were included from three government hospitals in Saudi Arabia (SA). The data were collected electronically through a newly formed, self-administrated questionnaire. Among those patients, 335 were covered with SIV (19.31%), and the coverage rate of females and males was 23.4% and 15.8%, respectively. Severe COVID-19 cases were less in vaccinated patients than in non-vaccinated (2.69% vs. 3.5%, respectively). Additionally, the results showed a significant decrease in getting infected by SARS-CoV-2 after receiving SIV (P = 0.022). Even with the tremendous efforts to promote SIV uptake among the general population and high-risk groups, the SIV coverage in SA is not optimal yet. Nevertheless, there is a significant decrease in the probability of getting infected with SARS-CoV-2 after receiving SIV. Such findings with the continuous progression of the COVID-19 pandemic call for a novel approach regarding vaccination policies to increase SIV and COVID-19 vaccine uptake.Entities:
Keywords: COVID-19; Coronavirus; Influenza vaccine; Saudi Arabia; Seasonal influenza
Year: 2021 PMID: 34869828 PMCID: PMC8629771 DOI: 10.1016/j.imu.2021.100809
Source DB: PubMed Journal: Inform Med Unlocked ISSN: 2352-9148
Demographic characteristics of the patients in relation with influenza vaccine.
| Influenza vaccination | ||||
|---|---|---|---|---|
| Yes | No | |||
| Male | 146 (15.8%) | 780 (84.2%) | <0.05 | |
| Female | 189 (23.4%) | 619 (76.6%) | ||
| Saudi | 315 (20.1%) | 1249 (79.9%) | <0.05 | |
| Non-Saudi | 20 (11.8%) | 150 (88.2%) | ||
| Illiterate | 7 (14%) | 43 (86%) | <0.05 | |
| Below high school | 19 (11.6%) | 145 (88.4%) | ||
| High school | 88 (18%) | 401 (82%) | ||
| Bachelor/diploma | 206 (20.6%) | 794 (79.4%) | ||
| PhD | 15 (48.4%) | 16 (51.6%) | ||
| Student | 30 (24.2%) | 94 (75.8%) | <0.05 | |
| Health worker | 121 (42.9%) | 161 (57.1%) | ||
| Employee | 120 (14.9%) | 688 (85.1%) | ||
| Unemployed | 52 (11.6%) | 396 (88.4%) | ||
Comorbidities of patients in relation with influenza vaccine.
| Influenza vaccination | Influenza vaccination Coverage (%) | ||
|---|---|---|---|
| Yes | No | ||
| 21 | 59 | 26.25 | |
| 12 | 88 | 12.00 | |
| 13 | 102 | 11.30 | |
| 9 | 21 | 30.00 | |
| 1 | 4 | 20.00 | |
| 1 | 5 | 16.67 | |
| 44 | 123 | 26.35 | |
| 4 | 9 | 30.77 | |
| 230 | 988 | 18.88 | |
Association between influenza vaccination and severity of COVID-19.
| Severity of COVID-19 | Influenza Vaccination | P-value | |
|---|---|---|---|
| Yes | No | ||
| 265 (79.10%) | 1136 (81.08%) | 0.345 | |
| 61 (18.20%) | 214 (15.29%) | ||
| 9 (2.68%) | 49 (3.50%) | ||
By Chi-square test.
Fig. 1Percentage of COVID-19 patients with and without Influenza vaccination according to the COVID-19 severity.
Association between the onset of disease (COVID-19) and Influenza vaccination.
| COVID-19 diagnosed | Influenza vaccine | P-value | |
|---|---|---|---|
| Yes | No | ||
| 299 (19.45%) | 1238 (80.55%) | 0.285* | |
| 32 (16.24%) | 165 (83.76%) | ||
| 15.12 (±14.9) | 17.5 (±17.02) | 0.022** (p < 0.05) | |
*By Chi-square test, ** By t-test at 0.05 level of significance.
Fig. 2Percentage of COVID-19 patients with and without Influenza vaccination according to the onset of COVID-19.