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PLOS One logoLink to PLOS One
. 2026 Oct 27;21(10):e0360528. doi: 10.1371/journal.pone.0360528

Adverse events of herpes zoster vaccination among adults in Saudi Arabia: A cross-sectional study

Jehad Aldali 1,*, Emadeldin Elsokkary 2, Ghadah Alnajdi 3, Marwa Maghrabi 3, Ruba Subh 3, Ghala Alakkasi 3, Sara Alhanshi Yati 3, Meshal Alzakari 3
Editor: Tungki Pratama Umar4
PMCID: PMC13712533  PMID: 42945161

Abstract

Background

The varicella-zoster virus, which causes herpes zoster upon reactivation, remains a public health concern, particularly among older adults. Although Zostavax and Shingrix are effective vaccines, monitoring adverse events remains important. Limited vaccine uptake and low public awareness in Saudi Arabia further highlight this need. This study seeks to assess the adverse events linked to herpes zoster immunization throughout the Saudi Arabian population.

Methods

This cross-sectional study used a Google Form questionnaire administered from 16 September 2024–15 August 2025.

Results

A total of 382 participants completed the survey. The largest age subgroup was 18–25 years (22.3%). For the first dose, 185 participants (48.4%) did not know the vaccine type, whereas 144 (37.7%) received Zostavax and 53 (13.9%) received Shingrix. Among second-dose recipients (n = 152), 85 participants (55.9%) received Zostavax, 41 (27.0%) received Shingrix, and 26 (17.1%) were uncertain of the vaccine type. The most frequently reported adverse effects after the first dose were fatigue/headache, injection-site pain, and dizziness, whereas chills, injection-site pain, and dizziness were most frequent after the second dose. No adverse effects were reported by 112 participants (29.3%) after the first dose and 28 (18.4%) after the second dose. Participants who received Zostavax reported significantly higher self-reported severity scores than those who received Shingrix after both the first dose (p = 0.003) and the second dose (p < 0.001).

Conclusion

Self-reported symptom severity was higher among participants with chronic disease and varied significantly by age after the first dose. The most commonly reported symptom duration was 1–2 days. No significant gender differences were observed. In unadjusted analyses, participants who reported receiving Zostavax had higher self-reported severity scores than those reporting Shingrix.

1. Introduction

Herpes zoster (HZ), commonly known as shingles, is a significant health concern worldwide, resulting from the reactivation of the varicella-zoster virus (VZV), which initially causes chickenpox in children [1–3]. HZ typically presents as a unilateral vesicular rash with a dermatomal distribution, often accompanied by varying degrees of pain described as aching, burning, or tingling [4]. Complications can include postherpetic neuralgia (PHN), bacterial skin infections, and severe neurological and ophthalmological issues such as long-term pain, keratitis, and iridocyclitis [5]. The complications associated with herpes zoster, particularly meningoencephalitis can cause seizures, status epilepticus, cerebral oedema, elevated intracranial pressure, stroke, hydrocephalus, cranial nerve dysfunction, hearing or vision loss, and neurological impairment. Long-term problems include cognitive impairment, memory loss, personality changes, speech and mobility abnormalities, chronic epilepsy, and impaired functional independence. Coma, brain damage, or death might result from severe cases [6]. In addition, the complications associated with herpes zoster, particularly cardiovascular complications, increase the risk of ischaemic stroke, myocardial infarction, coronary artery disease, and other serious cardiovascular events. Reactivating varicella-zoster virus can cause systemic inflammation, endothelial damage, thrombosis, and viral vasculopathy [7].

Globally, HZ incidence has been increasing, particularly among older adults. The incidence rates of HZ are expected to increase significantly after the age of 50, with an estimated 20–30% of the population experiencing the condition during their lifetime. The incidence of HZ in the United States has been steadily increasing, with rates consistently ranging from 3 to 5 per 1,000 person-years across various age groups. The general trend in Saudi Arabia suggests an increasing incidence, which is consistent with global patterns, despite the scarcity of detailed prevalence data. The incidence rates in the Middle East are comparable to those in Europe and North America, with a range of 3–5 per 1,000 person-years [8,9].

Preventive medicine, particularly vaccination, is an essential approach to safeguarding older populations from HZ. Substantial progress over the past decade, researchers have made substantial progress in developing vaccines. At present, two vaccine types are in widespread use: a live-attenuated single-dose vaccine (Zostavax; Merck, Kenilworth, NJ, USA) and a two-dose recombinant adjuvanted glycoprotein E subunit vaccine (Shingrix; GlaxoSmithKline, London, UK) [10,11]. While live-attenuated vaccines have been traditionally recommended, their use in immunocompromised individuals is limited due to the risk of disease from vaccine virus replication. Recombinant subunit vaccines, on the other hand, offer a safer alternative for these individuals by preventing vaccine virus replication [12,13].

Studies worldwide, including in the United States, have demonstrated the safety and efficacy of both vaccines in immunocompetent adults and selected immunocompromised patients. The recombinant HZV vaccine has shown higher efficacy in preventing HZ compared to the live attenuated version, and its nonreplicating nature ensures safety even for immunocompromised individuals [11,14]. In 2008, Chaves reported that the vaccine is safe and effective when administered to healthy individuals in the U.S., with mild adverse effects such as transient rash, fever, and injection site reactions, and rare serious adverse events like transient meningitis [15]. Other common adverse effects include pharyngitis, sore throat, fatigue, and upper respiratory symptoms [15].

Focusing on Saudi Arabia, recent studies have identified significant gaps in knowledge and awareness regarding HZ vaccination among the population aged 50 years and older. A 2023 cross-sectional study by Almumar revealed that 57.2% of participants were aware of the vaccine, with those having primary education levels showing higher acceptance compared to those with higher education. However, only 7.7% of the participants had received the vaccine [16]. Similarly, a study by Allefta found that despite over half of the participants claiming awareness of the HZ vaccine, only a small portion demonstrated high knowledge scores [1].

Therefore, this study aims to evaluate the adverse events associated with herpes zoster vaccination in the Saudi Arabian population.

2. Methods

2.1. Study design and setting

This cross-sectional study was conducted among adults aged 18–80 years residing in Saudi Arabia who had received the herpes zoster vaccine.

2.2. Study participants

The study participants consisted of the overall population residing in Saudi Arabia. The study participants had been administered the herpes zoster vaccine. Participants were recruited based on their accessibility, willingness to participate, and eligibility, specifically adults who reported having received the herpes zoster vaccine. Adverse events data were gathered using a well-organized questionnaire. The adverse were classified according to their severity and the time at which they occurred.

2.3. Inclusion and exclusion criteria

Inclusion Criteria:

  • We selected participants residing in Saudi Arabia who had been administered the herpes zoster vaccine.

  • participants who had received at least their initial vaccination or had completed the recommended herpes zoster vaccination.

  • Receipt of the vaccine before completing the questionnaire.

  • Ability to distinguish the herpes zoster vaccine from the varicella vaccine.

  • Ability to understand the study information and questionnaire.

  • Provision of electronic informed consent.

  • Willingness to participate voluntarily.

  • Completion of the mandatory questionnaire sections.

The exclusion criteria:

  • The exclusion criteria included individuals who had not received the vaccine and those who declined to participate in this study.

  • Individuals residing outside Saudi Arabia. Individuals who declined or withdrew informed consent.

  • Questionnaire responses submitted by another person on the participant’s behalf.

  • Incomplete questionnaires or responses with substantial missing data.

  • Duplicate questionnaire submissions.

2.4. Sample size calculation

The study’s sample size was calculated using the ‘Raosoft’ power calculator [17]. According to this calculation, a sample size of 382 participants was deemed sufficient to achieve a 95% confidence level with a 5% margin of error. A total of 382 participants completed the survey, meeting the required sample size.

2.5. Ethical declaration

The Institutional Review Board, College of Medicine, Imam Muhammad bin Saud Islamic University approved the study on 9 January 2024 (Ref. 584–2023), performed in accordance with the relevant guidelines and regulations.

2.6. Study questionnaire development

To assess adverse events associated with herpes zoster vaccination in Saudi Arabia, we developed a researcher-designed electronic self-administered questionnaire using Google Forms. The survey was distributed via social media platforms (email, Twitter, Instagram, and WhatsApp) to adults aged 18–80 years who had received the herpes zoster vaccine between 9 January 2024 and 15 August 2025. The questionnaire items were generated based on a review of the existing literature on herpes zoster vaccination, as well as input from the research team and key stakeholders.

The questionnaire was adapted from a previous study to meet the needs of this research [18]. The draft questionnaire was reviewed by a principal investigator with expertise in vaccine research. The principal investigator provided feedback on the content, wording, and structure of the questions. Based on his input, the questionnaire was refined and revised.

The revised questionnaire was then pilot-tested among 20 individuals representative of the target study population to evaluate clarity, comprehension, and relevance. Participants were asked to provide feedback on the questionnaire content, and minor wording modifications were made based on pilot feedback to enhance question clarity.

The final questionnaire consisted of the following sections: demographic information (e.g., age, gender, smoking status, and current health status), vaccination-related information (number of doses received, history of shingles before vaccination, and vaccine type), and post-vaccination adverse events. For each vaccine dose, participants were asked to report whether they experienced any adverse effects, indicate the onset and duration of symptoms, report whether they used medications to reduce symptom severity, and self-rate the overall severity of post-vaccination adverse effects using four predefined response categories: no symptoms, mild, moderate, or severe. Participants provided informed consent prior to answering the questionnaire. Comprehensive information about the study was provided to ensure their understanding and to enable them to voluntarily and thoughtfully decide whether to participate. They were informed that participation was voluntary and that they could withdraw from the study at any time without providing a reason or facing any consequences. Only those who selected “Yes” to the informed consent question were allowed to proceed with the survey.

The final questionnaire was approximately 10 minutes in length. All items were formatted as multiple-choice responses to facilitate data collection and analysis. To minimize misclassification, the questionnaire clearly specified the herpes zoster (shingles) vaccine and distinguished it from other vaccines such as the varicella (chickenpox) vaccine. Participants were also asked about relevant clinical contexts, including prior shingles infection and underlying health conditions. However, as the data were self-reported and not verified through medical records, the possibility of misclassification bias cannot be excluded.

2.7. Statistical analysis

The severity of adverse effects was assessed using a researcher-developed self-reported ordinal item for each vaccine dose. Participants rated overall post-vaccination severity using four predefined response categories: 0 = no symptoms, 1 = mild, 2 = moderate, and 3 = severe. The severity ratings represented participants’ global self-assessment of symptom burden and were not assigned by clinicians. Data were analyzed using IBM SPSS Statistics version 28. Descriptive statistics were reported as frequencies and percentages. Because the primary severity outcome was ordinal, non-parametric methods were used for bivariate comparisons. The Mann–Whitney U test was used to compare severity scores between two independent groups, including gender, smoking status, chronic disease status, and reported vaccine type. The Kruskal–Wallis test was used to compare severity across the predefined age groups. When the Kruskal–Wallis test was statistically significant, Dunn’s pairwise post-hoc test with Bonferroni adjustment was performed.

For participants who received both vaccine doses (n = 152), paired analyses were conducted to compare outcomes after the first and second doses. McNemar’s test was used for paired binary outcomes, including individual adverse effects and medication use. The Stuart–Maxwell test was used to compare the paired multi-category symptom-onset distributions, while the Wilcoxon signed-rank test was used to compare ordinal severity and symptom duration between doses. Holm adjustment was applied to the symptom-specific McNemar comparisons to account for multiple testing.

An overall adverse-event count was also calculated for each participant by summing the specific adverse-effect symptoms reported across all available dose-specific checklists, providing a descriptive measure of overall adverse-event burden regardless of dose.

Effect sizes were calculated to aid interpretation. For Mann–Whitney U and Wilcoxon signed-rank tests, effect size r was calculated as |Z|/√N. For the Kruskal–Wallis test, epsilon-squared (ε2) was calculated as (H − k + 1)/(n − k), where H is the Kruskal–Wallis statistic, k is the number of groups, and n is the total sample size.

To identify factors independently associated with greater self-reported severity after the first dose, a multivariable ordinal logistic regression model was fitted using the full first-dose sample (N = 382). The model included gender, age (≤50 vs. > 50 years), smoking status, chronic disease status, immune-related disease status, previous herpes zoster diagnosis, and reported vaccine type. Because age was originally collected in grouped categories, including 41–50 years, an exact <50 versus ≥50 classification could not be reconstructed; therefore, ≤ 50 versus >50 years was used for the multivariable analysis. Vaccine type was entered as a categorical variable, including participants who were unable to identify the vaccine received. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were reported. The proportional-odds assumption and multicollinearity among predictors were assessed before interpreting the model. All statistical tests were two-sided, and p < 0.05 was considered statistically significant.

3. Results

A total of 382 participants completed the survey. The sample was approximately balanced by gender and was predominantly Saudi (95.5%, n = 365), a majority were married (62.8%, n = 240) and non-smoking (82.2%, n = 314). The largest age subgroup was 18–25 years (22.3%), and 31.9% reported a chronic disease. Most participants had received one vaccine dose (60.2%). Vaccine type was unknown to 48.4% of participants after the first dose and to 17.1% of second-dose recipients. Full participant characteristics and vaccination history are presented in Table 1.

Table 1. Participant characteristics, health status, and vaccination history.

Variables Frequency Percent (%)
Gender
Male 189 49.5%
Female 193 50.5%
Marital status
Married 240 62.8%
Single 142 37.2%
Age groups (years)
18-25 85 22.3%
26-30 68 17.8%
31-40 76 19.9%
41-50 66 17.3%
51-60 57 14.9%
>60 30 7.9%
Nationality
Saudi 365 95.5%
Non-Saudi 17 4.5%
Smoking History
Non-smokers 314 82.2%
Smokers 68 17.8%
Chronic disease status
No chronic disease 260 68.1%
With chronic disease 122 31.9%
Immune-related disease status
No immune-related disease 363 95.0%
With immune-related disease 19 5.0%
Number of vaccine doses received
One dose 230 60.2%
Two doses 152 39.8%
History of shingles before first dose
No 249 65.2%
Yes 133 34.8%
First-dose vaccine type
Zostavax 144 37.7%
Shingrix 53 13.9%
Don’t know 185 48.4%
Among second-dose recipients only (n = 152)
History of shingles before second dose
No 51 33.6%
Yes 101 66.4%
Second-dose vaccine type
Zostavax 85 55.9%
Shingrix 41 27.0%
Don’t know 26 17.1%

Note. Percentages for variables under “Among second-dose recipients only” were calculated using the subgroup of participants who received a second dose (n = 152).

Table 2 summarizes adverse effects, symptom onset, self-reported severity, symptom duration, and medication use after vaccination. Descriptive results for the first dose are presented for the full sample (N = 382). To permit valid within-participant comparisons between doses, paired analyses were restricted to the 152 participants who received both doses. Participants adverse events—such as fatigue, headache, and injection-site pain remained stable between the first and second doses, with no participant symptom frequency showing a statistically significant change (all p > 0.05). While fever and chills showed a descriptive increase following the second dose (23.7% vs. 13.8%), but did not achieve statistical significance within the paired analysis (p = 0.403). Self-reported severity was modestly lower after the second dose than after the first dose (Wilcoxon signed-rank test: Z = −2.973, p = 0.003, r = 0.241). the duration of adverse effects shortened significantly (p < 0.001), with 50.0% of participants resolving symptoms within 1–2 days after the second dose compared to 34.9% after the first. In contrast, symptom-onset distributions did not differ significantly between doses (Stuart–Maxwell p = 0.379), and medication use was similar after the first and second doses (70.4% vs. 69.1%; McNemar p = 0.804). Although some individual adverse effects differed descriptively between doses, none remained statistically significant after Holm adjustment for multiple symptom-specific comparisons.

Table 2. Adverse effects and symptom onset, self-reported severity, duration, and medication use after herpes zoster vaccination.

Parameter First Dose, All Participants N = 382, n (%) First Dose Among Two-Dose Recipients n = 152, n (%) Second Dose n = 152, n (%) Paired p-value
Adverse effects
Fatigue/headache 82 (21.5) 26 (17.1) 18 (11.8) 1.000
Injection-site pain 68 (17.8) 31 (20.4) 32 (21.1) 1.000
Muscle/joint pain or feeling unwell 23 (6.0) 7 (4.6) 12 (7.9) 1.000
Fever/chills 49 (12.8) 21 (13.8) 36 (23.7) 0.403
Dizziness 58 (15.2) 33 (21.7) 21 (13.8) 1.000
Diarrhea 28 (7.3) 13 (8.6) 10 (6.6) 1.000
Loss of concentration 32 (8.4) 17 (11.2) 10 (6.6) 1.000
Change in blood glucose level 22 (5.8) 15 (9.9) 15 (9.9) 1.000
Vomiting 22 (5.8) 12 (7.9) 6 (3.9) 1.000
Skin itching/rash 23 (6.0) 17 (11.2) 7 (4.6) 0.840
Swollen lymph nodes 18 (4.7) 16 (10.5) 10 (6.6) 1.000
Abdominal cramps 13 (3.4) 7 (4.6) 4 (2.6) 1.000
Rapid heartbeat 11 (2.9) 8 (5.3) 7 (4.6) 1.000
Respiratory tract infection 10 (2.6) 8 (5.3) 4 (2.6) 1.000
Chest pain 8 (2.1) 6 (3.9) 6 (3.9) 1.000
Swollen lips 3 (0.8) 1 (0.7) 0 (0.0) 1.000
Menstrual disorder 1 (0.3) 1 (0.7) 3 (2.0) 1.000
No adverse effects 112 (29.3) 18 (11.8) 28 (18.4) 0.114
Symptom onset 0.379
No symptoms 121 (31.7) 23 (15.1) 30 (19.7)
First day 87 (22.8) 39 (25.7) 39 (25.7)
Second day 129 (33.8) 71 (46.7) 67 (44.1)
Third day 45 (11.8) 19 (12.5) 16 (10.5)
Self-reported severity 0.003*
No symptoms 115 (30.1) 22 (14.5) 28 (18.4)
Mild 41 (10.7) 10 (6.6) 15 (9.9)
Moderate 165 (43.2) 83 (54.6) 84 (55.3)
Severe 61 (16.0) 37 (24.3) 25 (16.4)
Duration of adverse effects <0.001*
No symptoms 116 (30.4) 22 (14.5) 30 (19.7)
1–2 days 153 (40.1) 53 (34.9) 76 (50.0)
3 days 93 (24.3) 66 (43.4) 44 (28.9)
4 days or more 20 (5.2) 11 (7.2) 2 (1.3)
Medication use 0.804
Took medication to reduce severity 152 (39.8) 107 (70.4) 105 (69.1)
Did not take medication 230 (60.2) 45 (29.6) 47 (30.9)

Note. First-dose descriptive percentages in the first column are based on all participants (N = 382). Paired comparisons are based exclusively on participants who received both doses (n = 152). Individual adverse-effect comparisons were performed using exact McNemar tests with Holm adjustment for multiple comparisons; the displayed p-values for these rows are Holm-adjusted. Symptom-onset distributions were compared using the Stuart–Maxwell test. Self-reported severity and symptom duration were compared using the Wilcoxon signed-rank test, and medication use was compared using McNemar’s test. *p < 0.05. “No adverse effects” and the “No symptoms” responses under onset, severity, and duration were obtained from separate questionnaire items and therefore may have slightly different frequencies.

Across both dose-specific adverse-effect checklists, a total of 672 individual symptom reports were recorded, comprising 471 after the first dose and 201 after the second dose. Overall, 272 participants (71.2%) reported at least one specific adverse-effect symptom across one or both doses. The median number of reported symptoms per participant across the available doses was 1 (IQR: 0–3).

3.1. Self-reported severity of adverse effects according to participant characteristics

Table 3 presents bivariate comparisons of self-reported adverse-effect severity to gender, reported vaccine type, smoking status, and chronic disease status. No statistically significant differences were observed according to gender (p = 0.390, r = 0.044) and second doses (p = 0.275, r = 0.089) or smoking status after either dose. In the unadjusted analyses, participants who reported receiving Zostavax had higher severity scores than those who reported receiving Shingrix after the first dose (p = 0.003, r = 0.213) and the second dose (p < 0.001, r = 0.474). Participants with chronic disease also reported higher severity scores after both the f]irst dose (p < 0.001, r = 0.258) and the second dose (p = 0.011, r = 0.205). Potential predictors of first-dose severity were subsequently evaluated in the multivariable analysis.

Table 3. Bivariate comparisons of self-reported severity of adverse effects according to participant characteristics.

Characteristic Dose Groups, n (Mean Rank) Mann–Whitney U Z p-value Effect size (r)
Gender First Male, 189 (186.88); Female, 193 (196.03) 17365.0 −0.860 0.390 0.044
Second Male, 72 (72.78); Female, 80 (79.85) 2612.0 −1.092 0.275 0.089
Reported vaccine type First Zostavax, 144 (105.83); Shingrix, 53 (80.44) 2832.5 −2.990 0.003* 0.213
Second Zostavax, 85 (74.11); Shingrix, 41 (41.50) 840.5 −5.320 <0.001* 0.474
Smoking status First Non-smoker, 314 (195.86); Smoker, 68 (171.38) 9308.0 −1.760 0.078 0.090
Second Non-smoker, 133 (78.47); Smoker, 19 (62.74) 1002.0 −1.609 0.108 0.131
Chronic disease status First No, 260 (173.15); Yes, 122 (230.61) 11089.0 −5.035 <0.001* 0.258
Second No, 95 (70.16); Yes, 57 (87.07) 2105.0 −2.533 0.011* 0.205

Note. Comparisons were performed using the Mann–Whitney U test. Participants who reported that they did not know the vaccine type were excluded only from the vaccine-type comparisons. *p < 0.05.

3.2. Self-reported severity of adverse effects according to age

Table 4 shows a statistically significant difference in self-reported severity across age groups after the first dose (H = 29.895, p < 0.001, ε² = 0.066). Dunn–Bonferroni post-hoc comparisons showed that participants aged 18–25 years reported significantly lower severity than those aged 31–40 years (adjusted p < 0.001), 41–50 years (adjusted p = 0.004), and >60 years (adjusted p = 0.001). No other pairwise comparisons were statistically significant. After the second dose, severity did not differ significantly across age groups (H = 10.100, p = 0.072, ε² = 0.035); therefore, no post-hoc comparisons were performed.

Table 4. Self-reported severity of adverse effects t across age group.

Dose Age N Mean Rank Kruskal-Wallis H df p-value Effect size (ε²)
First dose 18–25 85 145.42 29.895 5 <0.001* 0.066
26–30 68 190.26
31–40 76 221.18
41–50 66 207.52
51–60 57 181.44
>60 30 233.53
Second dose 18–25 19 59.61 10.100 5 0.072 0.035
26–30 27 83.61
31–40 50 84.25
41–50 37 77.47
51–60 14 55.43
>60 5 76.60

Note. Overall age-group comparisons were performed using the Kruskal–Wallis test. Following the significant first-dose test, Dunn’s post-hoc comparisons with Bonferroni adjustment identified significant differences between 18–25 and 31–40 years (adjusted p < 0.001), 18–25 and 41–50 years (adjusted p = 0.004), and 18–25 and >60 years (adjusted p = 0.001). No other pairwise comparisons were significant. No post-hoc analysis was conducted for the second dose because the overall Kruskal–Wallis test was not statistically significant. *p < 0.05.

3.3. Multivariable analysis of self-reported severity after the first dose

A multivariable ordinal logistic regression analysis was performed to identify factors independently associated with higher self-reported severity after the first dose (N = 382). The overall model was statistically significant (χ2(8) = 106.24, p < 0.001; Nagelkerke R2 = 0.264), and the proportional-odds assumption was not violated (p = 0.203).

As shown in Table 5, a previous diagnosis of herpes zoster was independently associated with greater severity (aOR = 4.62, 95% CI: 2.84–7.52, p < 0.001), as was chronic disease status (aOR = 2.39, 95% CI: 1.49–3.85, p < 0.001). Participants aged >50 years also had higher odds of reporting greater severity than those aged ≤50 years (aOR = 1.72, 95% CI: 1.00–2.96, p = 0.049). In contrast, gender, smoking status, and immune-related disease status were not independently associated with severity.

Table 5. Factors associated with self-reported severity after the first dose.

Variable aOR 95% CI p-value
Female vs. male 0.91 0.60–1.40 0.682
Age > 50 vs. ≤ 50 years 1.72 1.00–2.96 0.049*
Smoker vs. non-smoker 0.96 0.56–1.66 0.895
Chronic disease: yes vs. no 2.39 1.49–3.85 <0.001*
Immune-related disease: yes vs. no 0.83 0.32–2.15 0.702
Previous herpes zoster diagnosis: yes vs. no 4.62 2.84–7.52 <0.001*
Reported Zostavax vs. Shingrix 1.34 0.72–2.48 0.350
Vaccine type unknown vs. Shingrix 0.56 0.31–1.01 0.054

Note. aOR = adjusted odds ratio; CI = confidence interval. The dependent variable was self-reported severity coded as 0 = no symptoms, 1 = mild, 2 = moderate, and 3 = severe. Reported Shingrix was the reference category for vaccine type. *p < 0.05.

Importantly, the unadjusted difference previously observed between participants reporting Zostavax and Shingrix was no longer statistically significant after adjustment for the other variables in the model (aOR = 1.34, 95% CI: 0.72–2.48, p = 0.350).

4. Discussion

Herpes zoster (HZ), a reactivation of the varicella-zoster virus, remains a significant public health concern, particularly among older adults [1]. Although vaccines such as Zostavax and Shingrix have demonstrated high efficacy, the occurrence of post-vaccination adverse events continues to warrant attention [15]. In Saudi Arabia, both public awareness and vaccine uptake remain limited [16]. Given these concerns, this study aimed to evaluate the adverse events associated with herpes zoster vaccination in the Saudi Arabian population.

The demographic and health characteristics of the participants in this study provide important context for interpreting vaccination patterns and post-vaccination outcomes. Although herpes zoster is more common in adults aged 50 and older, our study included a younger population. This may reflect local vaccination practices which younger participants receive the vaccine because of previous infection or underlying chronic or immune-related conditions. However, this also raises the possibility of misclassification, as some participants may have confused the herpes zoster vaccine with other vaccines such as varicella. Although the questionnaire aimed to distinguish between these vaccines, reliance on self-reported data remains a limitation. Although herpes zoster is more common among adults aged 50 years and older, our study included a relatively younger population. This may reflect local vaccination practices in which younger individuals receive the vaccine because of previous infection or underlying chronic or immune-related conditions [19]. However, it also raises the possibility of misclassification, as some participants may have confused the herpes zoster vaccine with the varicella vaccine [20]. Although the questionnaire clearly distinguished between the two vaccines, reliance on self-reported data remains a limitation. The inclusion of younger participants may limit the generalizability of the findings to older adults but provides insight into post-vaccination responses in a less-studied group. The study population had a balanced gender distribution and consisted predominantly of Saudi nationals. Chronic diseases were reported more frequently than immune-related conditions. Although all participants indicated that they had completed the recommended vaccination schedule, a considerable proportion could not identify the specific herpes zoster vaccine they had received. This uncertainty highlights potential gaps in vaccine literacy and communication between healthcare providers and vaccine recipients, consistent with findings previously reported by Hurley et al. (2018) [20]. A considerable proportion of participants also reported having experienced herpes zoster before vaccination, suggesting that previous infection may have motivated their decision to receive the vaccine [15,21].

Among participants who received both doses, paired analyses showed modestly lower overall self-reported severity and shorter symptom duration after the second dose. Although some individual symptoms differed descriptively between doses, none remained statistically significant after adjustment for multiple comparisons. Moderate symptoms were the most commonly reported severity category, and symptoms most frequently lasted 1–2 days, consistent with typical post-vaccination response timelines. Medication use was similar after the first and second doses among participants who received both doses.. These findings are consistent with previous studies reporting similar local and systemic reactions [14,22]. However, the present study additionally identified increased medication use following the second dose, a behavioral response that has received limited attention in earlier research [23].

No statistically significant differences in self-reported adverse-effect severity were observed between male and female participants after either dose. This finding is consistent with previous research reporting broadly comparable vaccine safety profiles across genders [14,15].

Furthermore, we observed statistically significant differences in severity of adverse effects between the two vaccine types. Participants who received Zostavax experienced more intense symptoms than those who received Shingrix. This finding aligns with prior research indicating that live attenuated vaccines like Zostavax may trigger a stronger immune response, especially in vulnerable participants, due to the replication of the attenuated virus [11]. On the other hand, Shingrix, a non-live recombinant vaccine enhanced with the AS01B adjuvant, is known to produce strong immune responses with a lower risk of severe adverse effects [13].

Several factors may explain the unadjusted association observed between vaccine type and symptom severity.]. First, vaccine-type misclassification is possible, particularly because a substantial proportion of participants were unable to identify the vaccine they had received. Second, the study relied on retrospective self-reported data, making differential recall of both vaccine type and adverse effects possible. Third, the non-probability sampling approach may have introduced selection bias. Finally, participant characteristics associated with symptom severity, such as age and chronic disease status, may have differed across vaccine groups. Therefore, the comparison between vaccine types in this study should be considered exploratory rather than confirmatory.

Our study also observed that non-smokers tended to report slightly more noticeable adverse effects than smokers, although the difference was not statistically significant. Therefore. this finding should be interpreted cautiously and does not establish an association between smoking status and post-vaccination adverse effects.

In the multivariable analysis, previous herpes zoster diagnosis and chronic disease remained independently associated with greater self-reported severity, while the association with age was more modest. Previous herpes zoster research suggests that individuals with chronic conditions, including cardiovascular and pulmonary diseases, may experience greater reactogenicity because of baseline inflammation and immune dysregulation [24]. The modest age-related association may also reflect immunosenescence and the increased prevalence of comorbidities among older adults, although newer vaccine formulations remain effective across age groups [22]. These findings highlight the complex relationship between age, chronic disease, previous herpes zoster, and post-vaccination symptom severity [3]. These findings support tailored pre-vaccination counselling to manage expectations and address the needs of potentially vulnerable populations.

4.1. Limitation

The non-probability online sampling approach and the composition of the study sample may limit the generalizability of the findings. The small sample size, resulting from the online distribution of a self-administered questionnaire, may limit the generalizability of the findings. As the study design was cross-sectional and relied on self-reported data, recall bias is possible, particularly because the survey may have been completed sometime after vaccination. In addition, a large proportion of participants (17.1%) were unable to recall the specific vaccine brand they had received. This may have affected the accuracy of the reported onset, duration, and severity of adverse effects. Furthermore, prior beliefs or misconceptions about vaccines may have influenced participants’ responses.

As most participants were aged 18–40 years, this may limit the generalizability of our findings to older adults, who are at higher risk of herpes zoster. This sampling pattern may also affect the interpretation of reported adverse effects, as younger individuals may respond differently to vaccination.

One of the limitations of this study is the potential underrepresentation of older adults in the sample, as many individuals aged 60 and above may be hesitant to receive the herpes zoster vaccine due to concerns about their weakened immune systems. With aging, the immune system undergoes significant changes, including a decline in innate immune responses and the development of a chronic proinflammatory state known as “inflammaging.”

Symptom severity was assessed using a self-reported ordinal item in the researcher-developed questionnaire rather than a clinician-verified grading system. Therefore, the severity categories reflect participant-perceived symptom burden and may be subject to individual differences in interpretation, symptom tolerance, and recall. Although this approach was practical for a large-scale online survey, it may have introduced some degree of misclassification or over- or underestimation of symptom severity. Future studies incorporating clinician assessments are recommended to enhance data validity. In addition, unmeasured confounding factors, such as prior or post-vaccination medication use, psychological stress, and other health-related variables, may have influenced the results, limiting the accuracy of the conclusions. Larger, clinically validated studies are recommended to strengthen the reliability and applicability of these findings.

5. Conclusion

This study examined adverse effects following herpes zoster vaccination and identified different symptom patterns after the first and second doses. After the first dose, fatigue and headache predominated, but chills and injection-site pain increased after the second. Moderate symptoms were the most frequently reported severity category, and the most commonly reported symptom duration was 1–2 days. Medication use to relieve symptoms was more common after the second dose due to a stronger immune response or better preparedness. Zostavax caused more severe reactions than Shingrix, Therefore, balancing the severity of adverse effects with the need for effective immunization is crucial to guide patient counselling and optimize vaccination outcomes in the Saudi population.

There was no gender-based difference in symptom severity. While non-smokers reported slightly more adverse effects than smokers, the difference was not statistically significant. Seniors and those with chronic diseases had more severe symptoms, likely due to immunosenescence and inflammation. These findings emphasize the need for tailored vaccination strategies and pre-vaccination counselling in vulnerable populations to improve safety and manage expectations.

Supporting information

S1 File. This supporting material contains the complete survey instrument used in the current study.

(SAV)

pone.0360528.s001.sav (243.8KB, sav)
S2 File. This supplemental material includes the entire study’s survey questionnaire.

(XLSX)

pone.0360528.s002.xlsx (57.2KB, xlsx)

Data Availability

All relevant data are within the paper and Supporting Information files.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Godwin Anywar

31 Mar 2026

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Partly

Reviewer #2: Partly

Reviewer #3: Yes

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2. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #1: Yes

Reviewer #2: I Don't Know

Reviewer #3: Yes

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3. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: Yes

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4. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: No

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Reviewer #1: Dear authors

Thank you for submitting your manuscript entitled “Adverse events of herpes zoster vaccination Among Adults in Saudi Arabia: A Cross-Sectional Study.” The study addresses an important and underexplored area in vaccine safety monitoring and has the potential to contribute to understanding adverse events following herpes zoster vaccination in Saudi Arabia. Nevertheless, there are serious conceptual, methodological, and reporting issues that need to be addressed. Below are the major points that require your attention:

1. Study timeline and internal consistency

The reported survey period (6 September 2024 to 15 August 2025) is incompatible with the current submission and review timeline, and therefore, not credible as written. This discrepancy must be corrected and clarified, and all dates in the manuscript must be checked for consistency (including references with future publication years).

2. Target population and age distribution

Herpes zoster vaccination is generally recommended for older adults and specific high‑risk groups; yet the majority of your sample lies in the 18–40 age range, with 18–25 years being the largest group, and 95% reported as having no immune disease. This pattern is not aligned with usual clinical indications for HZ vaccination.

You must clearly explain why such a high proportion of young, apparently healthy adults received HZ vaccination (e.g., immunocompromised status, occupational indication, special institutional policies) and how eligibility was defined and verified. Otherwise, there is a substantial risk that participants misclassified the vaccine (e.g., confusing the HZ vaccine with varicella or another vaccine).

3. Verification of vaccination status and vaccine type

Nearly half of the participants were unable to identify which HZ vaccine they had received, yet you perform comparative analyses between Zostavax and Shingrix and draw firm conclusions. This is not methodologically robust.

The high reported prevalence of Zostavax use during the stated period also requires validation, given current practice patterns and the increasing dominance of Shingrix. At minimum, you should describe any steps taken to verify vaccination status and vaccine type (e.g., vaccination cards, electronic records, Sehhaty), and explicitly acknowledge the limitations due to self‑report and “don’t know” responses.

4. Findings that contradict established evidence

Your analyses indicate that Zostavax is associated with more severe adverse events than Shingrix. This directly contradicts the well‑documented higher reactogenicity of Shingrix in clinical trials and post‑marketing data. Such a result requires very careful handling: you should

• Compare your findings explicitly with the pivotal trials and existing literature.

• Discuss plausible explanations (e.g., misclassification of vaccine type, selection bias, differential recall).

• Mark these comparisons as exploratory and avoid strong causal or comparative safety claims in the presence of major classification uncertainty.

5. Methods: sampling, questionnaire, and bias

The sampling strategy (online Google Form distributed via social media) is only briefly described and does not adequately address potential selection, recall, and information biases. You should clearly describe:

The recruitment channels, target population, and approximate response rate.

Inclusion criteria and how you ensured that only genuinely vaccinated individuals responded.

Any steps for questionnaire development, validation, and pilot testing, in a more structured form (content validity, language, and reliability, if available).

Given the design, the risk of recall bias (for both symptoms and vaccine brand) is high and should be explicitly discussed and reflected in the strength of the conclusions.

6. Results presentation and clarity

Several tables (1.1, 1.2, 1.3, and 2.1, 2.2) contain overlapping content and could be streamlined to reduce redundancy and improve clarity. Percentages that pertain only to subgroups (e.g., n=152 second‑dose recipients) must be clearly labeled in both titles and footnotes to avoid misinterpretation.

Figure 1 is cited but not appropriately presented or described. Ensure that all figures and tables are consistently numbered, fully labeled, and formatted according to journal guidelines.

Where non‑parametric tests are used, consider reporting effect sizes and confidence intervals, not only p‑values, to allow a more meaningful interpretation of differences.

7. Interpretation, discussion, and limitations

The Discussion section does not sufficiently confront the central limitations of the study: the age distribution that is not representative of the recommended HZ vaccine target group, the high rate of unknown vaccine type, and the reliance on self‑report. These must be discussed clearly and prominently, with a corresponding tempering of the conclusions.

Attempts to justify the young sample by “occupational factors” are not adequately support and should either be substantiated with data or removed.

The limitations section, while present, should be made more concise but also more explicit regarding the impact of sampling and misclassification on external validity and on any comparative conclusions between vaccine brands.

Conclusions and public health implications must be reframed to reflect that the findings primarily describe a young adult, self‑selected, and potentially misclassified sample, rather than the typical older adult population for whom HZ vaccination is indicated.

8. Technical and editorial issues

• Ensure all dates (study period, reference years) are realistic and internally consistent.

• Standardize p‑value formatting throughout the manuscript and clarify in the Abstract what specific comparisons significant p‑values refer to.

• Check all references for completeness, consistency with journal style, and plausibility of publication dates.

Overall assessment

The topic is important, and the attempt to document adverse events in the Saudi context is commendable. However, unresolved issues regarding the study population, vaccine verification, and contradictions with established evidence make the current version unsuitable for publication. Addressing the points above would require a deep revision of the study framing, methods description, analysis, and interpretation, and may ultimately necessitate reframing the work as an exploratory, hypothesis‑generating survey with limited generalizability rather than a definitive comparative safety assessment

Sincerely,

Reviewer #2: The abstract is clear but requires minor grammatical editing.

The questionnaire validation process needs more methodological detail (2-3 sentences).

The Data Availability statement (“available upon request”) may not meet PLOS policy (check upon re submission)

Statistical methods are appropriate and clearly justified.

Add more specific policy recommendations in the conclusion section.

Reviewer #3: This manuscript addresses an important public health topic by evaluating adverse events following herpes zoster vaccination among adults residing in Saudi Arabia. The subject is relevant to vaccine safety monitoring and population health. The cross-sectional approach provides useful descriptive insight; however, several methodological, reporting, and clarity issues require substantial revision to ensure transparency, reproducibility, and scientific rigor.

First, the manuscript requires comprehensive English language editing. Numerous grammatical and structural errors reduce clarity and hinder interpretation of the findings. Careful proofreading or professional language editing is strongly recommended.

Regarding the title, consistency with journal style should be considered, and sentence case formatting is recommended.

In the abstract, several statements require correction or clarification. The claim that 22.3% represents a majority of the population is inaccurate and should be revised. The Results section would benefit from clearer presentation of key outcomes. Additionally, the statement indicating no significant gender difference is incomplete and should specify the outcome variable being compared.

The description of the study population requires clarification. The methodology states that participants residing in Saudi Arabia were included; however, the results indicate that a proportion of participants were non-Saudi. The authors should clarify eligibility criteria and explain whether nationality or residency was the inclusion criterion. If residency was the basis for inclusion, this should be clearly stated. Furthermore, inconsistencies appear between the stated national scope of recruitment and references to recruitment from Riyadh. This discrepancy should be resolved.

The sample size calculation requires greater transparency. The parameters used in the Raosoft calculation, including assumed population proportion, confidence level, and margin of error, should be explicitly reported to allow reproducibility.

The questionnaire development process requires more detailed methodological description. The abstract indicates use of a bilingual questionnaire; however, translation procedures, languages used, and validation steps are not described in the methods section. The authors should clarify how translation was conducted and whether forward–backward translation or pilot testing was performed. Additionally, reliance on investigator input alone in questionnaire design may introduce measurement bias. Information on face validity, content validity, pilot testing, or reliability assessment should be provided. If the instrument was adapted from previous research, appropriate citation should be included. The use of online recruitment via social media platforms raises potential concerns regarding selection bias and geographic eligibility control; these issues should be acknowledged and discussed.

The statistical analysis section requires clarification regarding the derivation of the adverse event severity scale. The authors should specify whether severity categories were self-reported or based on predefined criteria. If the scale was adopted from prior literature, a reference should be provided; if developed for this study, justification and operational definitions are necessary.

In the results section, presentation should follow a consistent reporting format, such as N (%), throughout the manuscript. Statements referring to a “majority” should include corresponding percentages. Tables require clearer labeling and standardized formatting. Specifically, the classification of symptoms into mild, moderate, and severe requires explicit operational definitions and explanation of how these categories were assigned.

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Reviewer #1: Yes:  Mohaned A E;hefny

Reviewer #2: Yes:  Nasser M Alorfi

Reviewer #3: No

**********

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Attachment

Submitted filename: Herpez Zoster.docx

pone.0360528.s003.docx (17.5KB, docx)
PLoS One. 2026 Oct 27;21(10):e0360528. doi: 10.1371/journal.pone.0360528.r002

Author response to Decision Letter 1


28 Apr 2026

Dear Reviewer #1:

Thank you for taking the time to review my manuscript. I sincerely appreciate your valuable feedback and thoughtful comments. I have completed the revision and addressed all the comments in my manuscript.

1. Study timeline and internal consistency

The reported survey period (6 September 2024 to 15 August 2025) is incompatible with the current submission and review timeline, and therefore, not credible as written. This discrepancy must be corrected and clarified, and all dates in the manuscript must be checked for consistency (including references with future publication years).

Response to the reviewer

Thank you for your comment. We apologize for the error in the reported study timeline. The survey period has been corrected, and all dates in the manuscript have been reviewed to ensure internal consistency. In addition, references have been checked and updated to ensure accuracy and appropriate publication years.

2. Target population and age distribution

Herpes zoster vaccination is generally recommended for older adults and specific high risk groups; yet the majority of your sample lies in the 18–40 age range, with 18–25 years being the largest group, and 95% reported as having no immune disease. This pattern is not aligned with usual clinical indications for HZ vaccination.

Response to the reviewer

Thank you for your comment. We apologize for the error in the reported study timeline. The survey period has been corrected, and all dates in the manuscript have been reviewed to ensure internal consistency. In addition, references have been checked and updated to ensure accuracy and appropriate publication years.

You must clearly explain why such a high proportion of young, apparently healthy adults received HZ vaccination (e.g., immunocompromised status, occupational indication, special institutional policies) and how eligibility was defined and verified. Otherwise, there is a substantial risk that participants misclassified the vaccine (e.g., confusing the HZ vaccine with varicella or another vaccine).

Response to the reviewer

Thank you for this valuable comment. The inclusion of younger participants likely reflects local practices, including prior infection, chronic conditions, or occupational indications. We have clarified in the Methods section that the questionnaire distinguished herpes zoster from other vaccines, and we further emphasized potential misclassification bias in the Discussion. These revisions have been added to the Methods and Discussion sections

3. Verification of vaccination status and vaccine type

Nearly half of the participants were unable to identify which HZ vaccine they had received, yet you perform comparative analyses between Zostavax and Shingrix and draw firm conclusions. This is not methodologically robust.

The high reported prevalence of Zostavax use during the stated period also requires validation, given current practice patterns and the increasing dominance of Shingrix. At minimum, you should describe any steps taken to verify vaccination status and vaccine type (e.g., vaccination cards, electronic records, Sehhaty), and explicitly acknowledge the limitations due to self report and “don’t know” responses.

Response to the reviewer

I appreciate your crucial opinion. We agree that the significant proportion of participants who could not identify their HZ vaccine type is a methodological restriction that may weaken comparative analyses between Zostavax and Shingrix.

We clarified vaccination status and vaccine type assessment in the updated text. immunization information was self-reported; immunization cards, electronic medical records, and Sehhaty were not available. We now explicitly address this shortcoming in the text, specifically recollection bias and misclassification due to “don’t know” responses.

Due to current practice patterns and the rising usage of Shingrix, we believe that the reported prevalence of Zostavax use during the study period should be regarded with caution. Thus, we have toned down our conclusions and stressed that any comparison between Zostavax and Shingrix should be exploratory rather than definitive.

The manuscript's Limitations reflect these changes.

4. Findings that contradict established evidence

Your analyses indicate that Zostavax is associated with more severe adverse events than Shingrix. This directly contradicts the well documented higher reactogenicity of Shingrix in clinical trials and post marketing data. Such a result requires very careful handling: you should

• Compare your findings explicitly with the pivotal trials and existing literature.

• Discuss plausible explanations (e.g., misclassification of vaccine type, selection bias, differential recall).

• Mark these comparisons as exploratory and avoid strong causal or comparative safety claims in the presence of major classification uncertainty.

Response tpo the reviewer

Thank you for this important and insightful comment. We agree that the observed finding of higher self-reported severity among participants who reported receiving Zostavax requires careful interpretation, particularly because it does not fully align with the broader evidence base indicating greater reactogenicity with Shingrix in pivotal trials and post-marketing studies. In the revised manuscript, we explicitly compared our finding with the published literature and clarified that this vaccine-type comparison should be considered exploratory rather than confirmatory.

We also expanded the Discussion to address several plausible explanations for this discrepancy. Specifically, we noted the possibility of vaccine-type misclassification, given that a substantial proportion of participants were unable to identify the vaccine they had received. We further acknowledged the potential influence of retrospective self-reporting, including differential recall of both vaccine type and adverse effects, as well as selection bias related to the non-probability sampling approach. In addition, we noted that participant characteristics associated with symptom severity, such as age and chronic disease status, may have differed across vaccine groups.

Finally, we revised the wording in both the Discussion and Conclusion to avoid strong causal or comparative safety claims. The manuscript now presents this finding more cautiously as a self-reported association observed in this sample, rather than as a definitive comparative safety conclusion between the two vaccines.

5. Methods: sampling, questionnaire, and bias

The sampling strategy (online Google Form distributed via social media) is only briefly described and does not adequately address potential selection, recall, and information biases. You should clearly describe:

The recruitment channels, target population, and approximate response rate.

Inclusion criteria and how you ensured that only genuinely vaccinated individuals responded.

Any steps for questionnaire development, validation, and pilot testing, in a more structured form (content validity, language, and reliability, if available).

Given the design, the risk of recall bias (for both symptoms and vaccine brand) is high and should be explicitly discussed and reflected in the strength of the conclusions.

Response to the reviewer

Thank you for this valuable and insightful comment. We appreciate the reviewer’s observations regarding the need for further clarification of the sampling strategy, questionnaire methodology, and potential biases. In response, we have revised the manuscript accordingly. Specifically:

‏1. We expanded the Methods section to provide a clearer description of the recruitment channels, specifying that the questionnaire was distributed electronically via email, Twitter, Instagram, and WhatsApp, and clarified the target population and eligibility criteria.

‏2. We further clarified the questionnaire development process, including its development based on literature review and expert input, bilingual preparation in English and Arabic, forward and backward translation, principal investigator review for face and content validity, and pilot testing among 20 representative individuals prior to final distribution.

‏3. We strengthened the Limitations section to more explicitly discuss the potential for recall bias related to retrospective self-reported symptoms and vaccine brand recall.

‏These revisions have been incorporated into the revised manuscript to improve methodological clarity and transparency.

6, Results presentation and clarity

Several tables (1.1, 1.2, 1.3, and 2.1, 2.2) contain overlapping content and could be streamlined to reduce redundancy and improve clarity. Percentages that pertain only to subgroups (e.g., n=152 second dose recipients) must be clearly labeled in both titles and footnotes to avoid misinterpretation.

Figure 1 is cited but not appropriately presented or described. Ensure that all figures and tables are consistently numbered, fully labeled, and formatted according to journal guidelines.

Where non parametric tests are used, consider reporting effect sizes and confidence intervals, not only p values, to allow a more meaningful interpretation of differences.

Response to the reviewer

Thank you for this valuable suggestion. In response, we revised the presentation of the Results section to reduce redundancy and improve clarity. The original five descriptive tables were consolidated into three tables: one summarizing participant characteristics, health status, and vaccination history; one presenting adverse effects and symptom onset after the first and second doses; and one presenting self-reported severity, symptom duration, and medication use. This revision removed overlapping content across the original tables and provided a clearer structure for the descriptive findings.

We also made subgroup denominators explicit throughout the revised tables. Variables specific to second-dose recipients are now clearly identified, and the corresponding percentages are labeled as being calculated from the subgroup of participants who received a second dose (n = 152). In addition, the previous figure was removed because it repeated information already presented in the revised tables. Table numbering, titles, and notes were also standardized across the manuscript to improve consistency and adherence to journal style.

Figure 1 is cited but not appropriately presented or described. Ensure that all figures and tables are consistently numbered, fully labeled, and formatted according to journal guidelines.

Response to the reviewer

Thank you for this important comment. To improve clarity and avoid redundancy, Figure 1 was removed from the revised manuscript because it repeated severity data already presented in the descriptive tables. The corresponding findings are now presented only in the revised tables and described directly in the Results section.

We also revised the numbering, titles, and formatting of all tables for consistency across the manuscript. The original descriptive tables were reorganized into three clearly labeled tables, and subgroup-specific results, particularly those related to second-dose recipients, are now explicitly identified in both the table content and notes. These revisions were made to improve readability and better align the presentation with journal formatting expectations.

Where non parametric tests are used, consider reporting effect sizes and confidence intervals, not only p values, to allow a more meaningful interpretation of differences.

Response to the reviewer

Thank you for this valuable suggestion. In the revised manuscript, we added effect size estimates to all non-parametric analyses to provide a more informative interpretation of the observed differences beyond p values alone. Specifically, effect size r was reported for all Mann–Whitney U tests, and epsilon-squared (ε²) was reported for the Kruskal–Wallis test. These values were added to the corresponding tables and incorporated into the accompanying text to clarify the magnitude of the observed group differences.

In addition, the Results section was revised so that the interpretation of each comparison now reflects both statistical significance and effect size. This allowed us to distinguish between statistically significant findings with modest effects and those with stronger practical magnitude.

• Standardize p value formatting throughout the manuscript and clarify in the Abstract what specific comparisons significant p values refer to.

Response to the reviewer

Thank you for this helpful comment. We standardized p-value formatting throughout the revised manuscript using a consistent style with leading zeros for exact values and p < 0.001 where appropriate. In addition, we revised the Abstract to clarify that the reported significant p values refer specifically to the comparison in self-reported severity between participants who received Zostavax and those who received Shingrix after the first and second doses.

7. Interpretation, discussion, and limitations

The Discussion section does not sufficiently confront the central limitations of the study: the age distribution that is not representative of the recommended HZ vaccine target group, the high rate of unknown vaccine type, and the reliance on self report. These must be discussed clearly and prominently, with a corresponding tempering of the conclusions.

Attempts to justify the young sample by “occupational factors” are not adequately support and should either be substantiated with data or removed.

The limitations section, while present, should be made more concise but also more explicit regarding the impact of sampling and misclassification on external validity and on any comparative conclusions between vaccine brands.

Conclusions and public health implications must be reframed to reflect that the findings primarily describe a young adult, self selected, and potentially misclassified sample, rather than the typical older adult population for whom HZ vaccination is indicated.

Response to the reviewer

Thank you for this important comment. The reference to occupational factors has been removed as it was not supported by our data. The Limitations section has been revised to be more concise and to clearly address the impact of sampling and potential misclassification on external validity and vaccine comparisons. In addition, the Conclusion has been updated to reflect that the findings are based on a younger, self-selected, and self-reported sample.

8. Technical and editorial issues

• Ensure all dates (study period, reference years) are realistic and internally consistent.

• Standardize p value formatting throughout the manuscript and clarify in the Abstract what specific comparisons significant p values refer to.

• Check all references for completeness, consistency with journal style, and plausibility of publication dates.

Response to the reviewer

Thank you for your comment. We have corrected the study timeline and reviewed all dates for consistency. P-values have been standardized, and the Abstract has been clarified. References were also checked and updated as needed.

Reviewer #2:

I am appreciative of the time you set down to read through my manuscript. Please know that I am extremely grateful for your insightful remarks and important feedback. All of the criticisms that were made in my document have been handled, and I have finished the rewrite.

The abstract is clear but requires minor grammatical editing.

response to the reviewer

Thank you for your comment. We appreciate your positive assessment of the abstract. The abstract has been carefully revised and edited for grammar, clarity, and readability.

The questionnaire validation process needs more methodological detail (2-3 sentences).

Response to the reviewer

Thank you for this helpful comment. Additional details have been added to the Methods section to further clarify the questionnaire validation process.

The Data Availability statement (“available upon request”) may not meet PLOS policy (check upon re submission)

response to the reviewer

Thank you for highlighting this point. We updated the statement and thoroughly review the journal's data sharing policy upon resubmission to assure PLOS compliance.

Statistical methods are appropriate and clearly justified.

response to the reviewer

Thank you for your positive comment. We appreciate your assessment that the statistical methods were appropriate and clearly justified.

Add more specific policy recommendations in the conclusion section.

response to the reviewer

Thank you for this valuable suggestion, we have revised the conclusion section to include more specific. These now emphasise strengthening public awareness initiatives, improving physician-led vaccine counseling, expanding access to herpes zoster vaccination, and supporting national strategies that promote adult immunization uptake among high-risk populations

Reviewer #3:

I appreciate your consideration of my manuscript. I genuinely value your insightful criticism and considerate remarks. I have finalized the revision and responded to all suggestions in my text.

First, the manuscript requires comprehensive English language editing. Numerous grammatical and structural errors reduce clarity and hinder interpretation of the findings. Careful proofreading or professional language editing is strongly recommended.

Regarding the title, consistency with journal style should be considered, and sentence case formatting is recommended.

Response to the reviewer

Thank you for your comment. The title has been revised to follow sentence case formatting and to align with the journal’s style guidelines.

In the abstract, several statements require correction or clarification. The claim that 22.3% represents a majority of the population is inaccurate and should be revised. The Results section would benefit from clearer presentation of key outcomes. Additionally, the statement indicating no significant gender difference is incomplete and should specify the outcome variable being compared.

The description of the study population requires clarification. The methodology states that participants residing in Saudi Arabia were included; however, the results indicate that a proportion of participants were non-Saudi. The authors should clarify eligibility criteria and explain whether nationality or residency was the inclusion criterion. If residency was the basis for inclusion, this should be clearly stated. Furthermore, inconsistencies appear between the stated national scope of recruitment and references to recruitment from Riyadh. This discrepancy should be resolved.

Response to the reviewer

Thank you for this valuable comment. We appreciate the reviewer’s observation regarding the need to clarify the study population. We would like to clarify that the inclusion criterion was residency in Saudi Arabia rather than Saudi nationality. Therefore, both Saudi and non-Saudi individuals residing in Saudi Arabia were eligible for participation. The manuscript has been revised accordingly to clearly state this eligibility criterion and to ensure consistency regarding the national scope of recruitment throughout the manuscript.

The sample size calculation requires greater transparency. The parameters used in the Raosoft calculation, including assumed population proportion, confidence level, and margin of error, should be explicitly reported to allow reproducibility.

The questionnaire development process requires more detailed methodological description. The abstract indicates use of a bilingual questionnaire; however, translation procedures, languages used, and validation steps are not described in the methods section. The authors should clarify how translation was conducted and whether forward–backward translation or pilot testing was performed. Additionally, reliance on investigator input alone in questionnaire design may introduce measurement bias. Information on face validity, content validity, pilot testing, or reliability assessment should be provided. If the instrument was adapted from previous research, appropriate citation should be included. The use of online recruitment via social media platforms raises potential concerns regarding selection bias and geographic eligibility control; these issues should be acknowledged and discussed.

Response to the reviewer

Thank you for this valuable comment. We have revised the questionnaire development section to provide additional methodological details. Specifically, we clarified that the questionnaire was initially developed in English and translated into Arabic using forward and backward translation to ensure linguistic consistency. Furthermore, the questionnaire underwent pilot testing among 20 representative individuals to assess clarity, comprehension, and relevance before final distribution.

The statistical analysis section requires clarification regarding the derivation of the adverse event severity scale. The authors should specify whether severity categories were self-reported or based on predefined criteria. If the scale was adopted from prior literature, a reference should be provided; if developed for this study, justification and operational definitions are necessary.

Response to the reviewer

Thank you for this important comment. We have clarified the derivation of the adverse event severity measure in the revised manuscript. The severity variable was not adopted from a previously validated external scale. Rather, it was obtained from the researcher-developed questionnaire as a direct self-reported ordinal item for each vaccine dose. Participants rated the overall severity of their post-vaccination side effects using four predefined response categories: no symptoms, mild, moderate, and severe. Thus, the severity categories were self-reported by participants and were not assigned by clinicians. We also clarified in the Methods section that this variable reflected participant-perceived symptom severity and was analysed as an ordinal outcome.

In the results section, presentation should follow a consistent reporting format, such as N (%), throughout the manuscript. Statements referring to a “majority” should include corresponding percentages. Tables require clearer labeling and standardized formatting. Specifically, the classification of symptoms into mild, moderate, and severe requires explicit operational definitions and explanation of how these categories were assigned.

Response to the reviewer

Thank you for this helpful comment. We revised the Results section to ensure a more consistent reporting format throughout the manuscript. Specifically, descriptive findings are now presented more systematically using n (%) in both the text and tables, and statements such as “majority” or “most” were revised to include the corresponding frequencies and percentages. We also reorganized the descriptive presentation of the results by consolidating the original descriptive tables into three clearly labeled tables, which improved clarity and reduced overlap. In addition, subgroup-specific denominators are now explicitly identified, particularly for second-dose recipients (n = 152), in both the tables and their notes. Finally, the classification of symptom severity was clarified in the Methods section and table notes by explicitly stating that severity was measured as a self-reported ordinal item in the researcher-developed questionnaire using predefined categories of no symptoms, mild, moderate, and severe.

Attachment

Submitted filename: Response to Reviewers.docx

pone.0360528.s005.docx (33.9KB, docx)

Decision Letter 1

Tungki Pratama Umar

20 Jul 2026

Dear Dr. ALDALI,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

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We look forward to receiving your revised manuscript.

Kind regards,

Tungki Pratama Umar, M.D., M.Sc.

Academic Editor

PLOS One

Journal Requirements:

If the reviewer comments include a recommendation to cite specific previously published works, please review and evaluate these publications to determine whether they are relevant and should be cited. There is no requirement to cite these works unless the editor has indicated otherwise.

Additional Editor Comments:

Thank you for your submission: Evaluating the Adverse Events Associated with Herpes Zoster Vaccination in Saudi Arabia: A Cross-Sectional Study. This is an interesting study. However, there are significant works that should be done to make it merit for publication. Here are my comments.

Introduction

1. Add more complications, such as meningoencephalitis and cardiovascular complications.

2. State whether similar publications exist in Saudi Arabia, and describe them along with your improvements.

3. This information is irrelevant because it does not assess HZV; a 2018 U.S. study highlighted serious adverse effects associated with varicella vaccination, including urticaria, ataxia, thrombocytopenia, pneumonia, encephalitis, stroke, and, in rare instances, death.

Methods

1. Study design: This is an overclaim (...in Saudi Arabia) since the study only assessed people in Riyadh, not all of the Saudi population. Please revise this information and the title.

2. Inclusion: …had been administered the herpes zoster vaccine (are patients with uncompleted schedules included, or is it strictly patients with completed vaccinations)?

3. Adverse event data were gathered using a well-organized questionnaire. Validation and reliability testing should be reported. The current validation technique is insufficient.

4. Power calculation for sample size should be reported alongside 95% CI.

5. Please state sampling methodology (random or non-random). Are there any further inclusion and exclusion criteria?

6. The pilot interview includes 20 individuals representative of the target study population. How can the authors ensure about the sample's representativeness? Gender, education, profile, etc? Please describe more.

7. Please attach the questionnaire given to participants as supplementary material (including the instructions).

8. Is there any standard on how the adverse events are assessed? Mild, moderate, and severe definitions should be described thoroughly.

9. ...compare severity scores across multiple age groups. Please state the source of how patients are clustered based on age group.

10. Add post-hoc analysis for Kruskal-Wallis.

Results

1. The authors just repeat information in the table, which is an unfavorable practice. Please summarize the information from... As shown in Table 1, the gender distribution was nearly equal, with 193 females (50.5%) and 189 males (49.5%).

2. Table 2 should be analyzed statistically since some parameters such as feeling tired (revise to fatigue), headache, temperature or chills (please revise this classification since it is vague), and no adverse events may have differences (based on percentage).

3. The data in Tables 2 and 3 do not match regarding adverse events (please recheck since it is confusing and just a repetition). Furthermore, tables 2 and 3 stated relatively similar topics that are complementary to each other. Please merge Tables 2 and 3, and include a statistical analysis as well.

1. Table 2: No adverse effects: 112 (29.3%), 28 (18.4%)

2. Table 3: No symptoms: 115 (30.1%) and 28 (18.4%)

3. Table 2 onset No symptoms 121 (31.7%) 30 (19.7%)

4. Table 3 duration: No symptoms 116 (30.4%) 30 (19.7%)

4. Add types of statistical analysis below each table.

5. … using the Mann–Whitney U test and the Kruskal–Wallis test. To provide a more informative interpretation of the results, effect sizes were dividing it into two groups and analyzing it for multivariate regression alongcalculated for the non-parametric comparisons. For Mann–Whitney U tests, effect size r was computed as |Z|/√N, and for the Kruskal–Wallis test, epsilon-squared (ε²) was reported. (Not important in the result; can be added in the methods)

6. Table 4 -> assess composite data also (regardless of dose or smoking status).

7. Do the analysis on the total number of adverse events, regardless of doses (in addition to currently available data).

8. For p-value, under the table, add "*" for significant results, and state the threshold and statistical tests. Do not add statistical tests in the table title.

9. Tables 4 to 7 can be merged and interpreted simultaneously.

10. A multivariate analysis (logistic regression) is highly recommended to determine which factors are the most significant contributors while highlighting the confounders.

11. Where is the post-hoc information on table 8?

12. For age, consider also dividing it into two groups and analyzing it for multivariate regression also with other parameters (tables 4-7). Search for the most appropriate classification (such as >=50 or <50) based on the available literature.

DISCUSSION

1. The second paragraph should be divided into two or three paragraphs given its long form. Also, there is inadequate citation on it, particularly in the first 15+ lines. Please add more citations to any part of the statement or claim.

2. Inconsistent citation style: Similar gaps in vaccine literacy have been documented in prior studies such as Hurley et al. (2018).

3. Following multivariate regression, revise this section. State that from univariate or bivariate perspectives, they can have a significant result. However, in multivariate analyses, certain interactions may be eliminated.

4. Why are most participants aged 18–40 years? The CDC guideline mostly targets this vaccination for people aged >50.

5. Sampling may be flawed. How can the authors arrive at 382 samples in the final analysis? People who filled out the forms are included, as this is very commonly done.

CONCLUSION

1. The conclusion is very stretched. Please focus on the main objective and do not describe too much of the study procedure. State several main results, particularly from regression statistics.

GENERAL

1. Some parts of the manuscript look refined or created through AI assistance. Please declare it as a statement of AI DISCLOSURE AND DECLARATION (please check PLoS One guideline).

2. Check on English proofreading comment

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #2: All comments have been addressed

Reviewer #4: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions??>

Reviewer #2: Yes

Reviewer #4: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #2: Yes

Reviewer #4: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #2: Yes

Reviewer #4: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #2: Yes

Reviewer #4: Yes

**********

Reviewer #2: I have some suggestions:

1. English proofreading is required.

2. The high percentage of participants who were unable to identify the vaccine type may affect the validity of comparisons between Zostavax and Shingrix. (Add this to the limitatuion section).

No other comments

Reviewer #4: (No Response)

**********

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Reviewer #2: Yes:  Nasser M Alorfi

Reviewer #4: Yes:  Rehab H. Werida, Ph.D - Faculty of Pharmacy, Damanhour University, Egypt.

**********

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PLoS One. 2026 Oct 27;21(10):e0360528. doi: 10.1371/journal.pone.0360528.r004

Author response to Decision Letter 2


14 Sep 2026

We sincerely thank you for your careful evaluation of our manuscript and for your constructive comments and valuable suggestions. Your feedback has helped us improve the manuscript’s clarity, methodological presentation, and overall scientific quality. We have carefully addressed all comments and incorporated the corresponding revisions into the manuscript. We hope that the revised version is now suitable for publication.

Attachment

Submitted filename: Response to Reviewers 2-9-2026.docx

pone.0360528.s006.docx (33.7KB, docx)

Decision Letter 2

Tungki Pratama Umar

29 Sep 2026

Adverse Events of Herpes Zoster Vaccination Among Adults in Saudi Arabia: A Cross-Sectional Study

PONE-D-25-51374R2

Dear Dr. ALDALI,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Tungki Pratama Umar, M.D.

Academic Editor

PLOS One

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Tungki Pratama Umar

PONE-D-25-51374R2

PLOS One

Dear Dr. ALDALI,

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Academic Editor

PLOS One

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. This supporting material contains the complete survey instrument used in the current study.

    (SAV)

    pone.0360528.s001.sav (243.8KB, sav)
    S2 File. This supplemental material includes the entire study’s survey questionnaire.

    (XLSX)

    pone.0360528.s002.xlsx (57.2KB, xlsx)
    Attachment

    Submitted filename: Herpez Zoster.docx

    pone.0360528.s003.docx (17.5KB, docx)
    Attachment

    Submitted filename: Response to Reviewers.docx

    pone.0360528.s005.docx (33.9KB, docx)
    Attachment

    Submitted filename: Response to Reviewers 2-9-2026.docx

    pone.0360528.s006.docx (33.7KB, docx)

    Data Availability Statement

    All relevant data are within the paper and Supporting Information files.


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