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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to spread globally, causing unprecedented effects on global health and economies. Community-based serological data are essential for understanding the true prevalence of infections, specifically the subclinical infections, as COVID-19 asymptomatic infections are common. Such data would also be important for decision making around choosing appropriate epidemiological control measures, as well as for the true estimation of mortality rates in the population. Further, determining the seroprevalence of anti-SARS-CoV-2 antibodies in the population would provide important information on herd immunity. In this study, we conducted a population-based age-stratified serological study to understand the prevalence of SARS-CoV-2 in Jazan Province, Saudi Arabia. Out of 594 participants who were recruited from 29 August to 30 December 2020, just before the vaccination rollout program in Saudi Arabia, about 157 were seropositive for SARS-CoV-2, indicating an estimated seropositivity rate of 26%. Although no significant difference in seropositivity was seen between male and female participants, we found that lower seroprevalence was associated with the younger (below 18 years old) and older populations (older than 56 years) compared with other age groups (19–55 years). These data indicate a high prevalence of SARS-CoV-2 antibodies following the peak of COVID-19 spread in Jazan province; however, most of the population (three-quarters) remains susceptible to SARS-CoV-2 infection.

Currently available COVID vaccines are effective in reducing mortality and severity but do not prevent transmission of the virus or reinfection by the emerging SARS-CoV-2 variants. There is an obvious need for better and longer-lasting effective vaccines for various prevailing strains and the evolving SARS-CoV-2 virus, necessitating the development of a broad-spectrum vaccine that can be used to prevent infection by reducing both the transmission rate and re-infection. During the initial phases of SARS-CoV-2 infection, the nucleocapsid (N) protein is one of the most abundantly expressed proteins. Additionally, it has been identified as the most immunogenic protein of SARS-CoV-2. In this study, state-of-the-art bioinformatics techniques have been exploited to design novel multiple epitope vaccines using conserved regions of N proteins from prevalent strains of SARS-CoV-2 for the prediction of B- and T-cell epitopes. These epitopes were sorted based on their immunogenicity, antigenicity score, and toxicity. The most effective multi-epitope construct with possible immunogenic properties was created using epitope combinations. EAAAK, AAY, and GPGPG were used as linkers to connect epitopes. The developed vaccines have shown positive results in terms of overall population coverage and stimulation of the immune response. Potential expression of the chimeric protein construct was detected after it was cloned into the Pet28a/Cas9-cys vector for expression screening in Escherichia coli. The developed vaccine performed well in computer-based immune response simulation and covered a diverse allelic population worldwide. These computational findings are very encouraging for the further testing of our candidate vaccine, which could eventually aid in the control and prevention of SARS-CoV-2 infections globally.

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Background The emergence of COVID-19 posed a threat to millions of lives worldwide. The pandemic impacts extended to affect people’s psychological well-being, resulting in significant behavioural change. This study was designed to assess the knowledge regarding COVID-19 precautions among the College of Applied Medical Science students at Jazan University and to evaluate the general, psychosocial, and behavioral changes due to COVID-19. Methods This is an observational study targeting 630 undergraduate students randomly selected during January 2020, using stratified random sampling. Data were collected using an online questionnaire. Linear regression models were used to evaluate the predictors of three outcome measures: knowledge, attitudes, and practice scores. Results Knowledge of COVID-19 revealed that the students with correct answers ranged from 48.9 to 95%. Furthermore, significant gender differences are found regarding shortness of breath, fatigue, persistent chest discomfort, headache, and malaise (p < 0.05). Knowledge scores differed significantly across gender and academic level (p < 0.05) and so does attitude scores (p < 0.05). No significant difference was observed between practice scores according to socio-demographic background (p > 0.05). The linear regression model showed that females had significantly higher knowledge, attitudes, and practice scores (p < 0.05) as well as those within the 21–23 age group and above (p < 0.05). Students residing in urban and semi-urban places had significantly higher scores for knowledge, attitudes, and practice (p < 0.05). Conclusion The results demonstrated moderate knowledge about COVID-19 among study participants, with significant differences between the responses of males and females and among the urban and rural populations. Outcomes suggest the need for interventions to bridge students’ knowledge about COVID-19 and practice gaps. Students were concerned about basic life amenities and the inability to provide for their dear ones regarding behavioral changes.