1School of Medicine, Lincoln University College, Wisma Lincoln, No. 12-18, Jalan SS 6/12, 47301 Petaling Jaya, Selangor Darul Ehsan, Malaysia
2Department of Food & Health Sciences, University of Geomatika Malaysia, Prima Peninsula, Jalan Setiawangsa 11, 54200 Kuala Lumpur, 54200 Kuala Lumpur, Malaysia
3Universiti Kebangsaan Malaysia, Kuala Lumpur Campus, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Kuala Lumpur
4Department of Biochemistry, Faculty of Medicine, Manipal University College Malaysia, Bukit Baru, 75150, Melaka, Malaysia
*Corresponding Author’s Email: wannuraini@lincoln.edu.my
Abstract
Background: Vaccination remains the most effective strategy for controlling the COVID-19 pandemic. However, the COVID-19 vaccinations have been linked to a number of side effects. This study aimed to assess the frequency of vaccine-related adverse events among individuals in Malaysia. Methods: A cross-sectional, online questionnaire-based survey was conducted among vaccinated individuals in Malaysia from March to November 2024. Participants were recruited using a snowball sampling method, in which the initial respondents were invited through social media platforms and institutional networks and were encouraged to share the survey link with other eligible individuals. A 17-item self-administered questionnaire was designed, validated, and subsequently distributed through online platforms. The inclusion criteria encompassed Malaysian residents aged 18 years and above who had received at least one dose of a COVID-19 vaccine, were able to read and understand English or Malay, and provided informed consent prior to participation. Respondents were excluded if they were below 18 years of age, unvaccinated, or submitted incomplete or inconsistent responses. Result: Of 408 respondents, 288 (70.6%) reported experiencing side effects. Females (66.3%) and individuals aged 45–54 years (26.4%) were more likely to report adverse events. Fever was the most common side effect, with the highest proportion observed among Pfizer vaccine recipients (71.4%). The majority of participants (92%) reported only mild to moderate effects, such as fever and localized injection-site pain, which resolved without hospitalization. A substantial proportion (74.2%) of respondents reported prior COVID-19 infection. Conclusion: This study provides important insights into post-COVID-19 vaccination experiences in Malaysia. Most adverse events were mild and self-limiting, with only a small fraction requiring medical attention.
Introduction
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), also known as 2019 coronavirus illness (COVID-19), was declared by the World Health Organisation (WHO) in March 2020 (Feng et al., 2020). The virus has resulted in over five million deaths globally, causing severe health issues and significant disruptions to daily life (Onyeaka et al., 2021). Common COVID-19 symptoms include fever, dry cough, shortness of breath, and fatigue. In severe cases, the virus can lead to complications such as pneumonia, acute respiratory distress syndrome (ARDS), multi-organ failure, septic shock, and coagulopathy (Mehta et al., 2021; Zaim et al., 2020). For diagnosis, the reverse transcription polymerase chain reaction (RT-PCR) test remains the gold standard (Yaamika et al., 2023). Mitigation approaches, such as safe distance, excellent personal cleanliness, and mask use, helped to flatten the infection curve, but the introduction of COVID-19 vaccinations offers a promising answer to the pandemic (De Bruin et al., 2020). It also spurred worldwide efforts for prevention, treatment, and vaccination. The discovery of a variety of vaccinations, including live attenuated, inactivated, recombinant protein, vector, DNA, and mRNA vaccines, has enabled a quick response to COVID-19 (Peng et al., 2021). Vaccine development follows a structured process, beginning with preclinical testing on animals to evaluate safety and effectiveness. This is followed by clinical trials in humans, which progress through multiple phases—starting with small groups of volunteers and expanding to larger populations to collect more comprehensive data on safety and efficacy (Yaamika et al., 2023).
In Malaysia, the COVID-19 vaccination program was implemented in three phases: phase 1 vaccinated frontline workers, including healthcare personnel; phase 2 included other healthcare workers and senior citizens; phase 3 vaccinated the entire eligible population (Hamdan et al., 2022). This stepwise plan ensured that vulnerable populations received priority protection from COVID-19. Malaysia obtained 99.4% first-dose immunisation rates and 98.2% second-dose rates among adults, demonstrating the vaccine's high safety and efficacy. However, only 68.8% of Malaysian adults have received their booster injection as of yet (MoH, 2022). A local study on vaccine hesitancy in receiving the COVID-19 booster shot among vaccinated individuals who have completed their primary vaccination series found that experiencing side effects from a previous COVID-19 vaccination was significantly associated with a lower likelihood of receiving the shot (Lee et al., 2023). This phenomenon is known as vaccine hesitancy, and it refers to those who, despite having access to vaccines, choose not to obtain them. This reticence might be attributed to a variety of things, including safety concerns, previous experiences, or misinformation (Ng et al., 2022).
Malaysia's National COVID-19 Immunisation Programme (PICK) was developed to speed up the vaccination process, and the coordinating minister manages it. This initiative provides free immunisations to all Malaysian citizens and non-citizens. The National COVID-19 Immunisation Programme (PICK) now provides Malaysians with four vaccine brands: Comirnaty® (Pfizer BioNTech), CoronaVac® (Sinovac), CanSino®, and Vaxzervria® (AstraZeneca). Additionally, the Johnson & Johnson (Janssen) vaccine has been granted conditional approval (Suah et al., 2021). COVID-19 vaccinations have been linked to several side effects, with the majority appearing after the first and second doses. The most adverse effects of single-dose COVID-19 vaccines (Pfizer-BioNTech, Sinovac, Oxford-AstraZeneca, CanSino and Johnson & Johnson) include injection site pain, swelling, fatigue, headache, nausea, muscle pain, weakness, chills, fever, skin rash, malaise, and diarrhoea (Karuppannan et al., 2024). Additionally, according to the Centres for Disease Control and Prevention (CDC, 2025), post-vaccination surveillance has identified several rare but clinically significant adverse events associated with COVID-19 vaccination, such as anaphylaxis, myocarditis, pericarditis, Guillain- Barré syndrome (GBS) and thrombosis with thrombocytopenia syndrome (TTS) in the United States. Therefore, this research is carried out to study the frequency or ratio of the population in Malaysia which has suffered any adverse event after receiving vaccines administered towards the people. This study will also help to provide a better understanding and insight into the demographics of participants within a given population group with regard to the implications of vaccines.
Methodology
This study was a cross-sectional, online questionnaire-based survey conducted among the vaccinated individuals in Malaysia between March to November 2024. The 17-item questionnaire was created and validated that involved personal particulars of participants, symptoms / adverse events experienced, history of allergy and history of previous Covid 19 infection, treatment of symptoms, opinion of vaccine hesitancy and opinion on the importance of vaccination. The self-administered questionnaire using Google Forms and shared through social media platforms such as Facebook, WhatsApp, and Telegram. Participants were invited to voluntarily participate in the survey and were encouraged to distribute the link among their peers, following the snowball sampling method. Using the Raosoft online sample size calculator (https://www.raosoft.com/samplesize.html, assessed on 15/02/2024), with a 5% margin of error, a 95% confidence level, and a 50% response distribution, the necessary sample size for this study was determined to be 377 participants.
Descriptive analysis and frequency assessment were performed on the participants’ characteristics. Multivariate logistic regression was used to identify the predictors of willingness to participate in, support for and concerns about the COVID-19 vaccination programme. Since wiliness, support and concern data were collected with a 5-point Likert scale, they were transformed into binary data (Yes=Very Likely, Likely; No=Neither, Not Likely, Very Not Likely) before the analysis. The predictors were dummy-coded before the analysis. The predictors were ‘entered’ into the regression model. The association between the predictors and outcomes were defined using odds ratio (OR) and 95% confidence interval (CI). A significant association was defined as p<0.05. Statistical analysis was performed using Statistical Software for Social Science version 26 (IBM, Armonk, USA).
Ethical Consideration
Ethical approval for this study was granted by the Research Ethics Committee of Universiti Geomatika Malaysia with ethical number UGM/RI 2024-020 on 2024.
Results
Details of the study participants’ information are presented in Table 1. Generally, a total of 403 respondents completed the survey, with about an equal percentage of women and men (50 %) participating, and most respondents (24.3 %) were between 45 and 54 years old. The majority of the respondents were Malay (44.7 %), followed by Indian (28.3 %), Chinese (24.8 %) and others (2.2 %). The others represent as native people in Sabah and Sarawak. About 55.3 % of the respondents were pursuing or had completed their first degree. A total of 263 respondents were employed, and 38 % of them were frontline workers directly responding to the health crisis and providing essential services. The majority (67.5 %) of respondents reported no previous history of allergy to any medication or vaccine.
Frequency | Percentage (%) | |
Gender | ||
Men | 204 | 50.6 |
Women | 199 | 49.4 |
Age | ||
18 – 24 | 78 | 19.4 |
25 – 34 | 89 | 22.1 |
35 – 44 | 94 | 23.3 |
45 – 54 | 98 | 24.3 |
55 – 64 | 44 | 10.9 |
Race | ||
Malay | 180 | 44.7 |
Chinese | 100 | 24.8 |
Indian | 114 | 28.3 |
Others | 9 | 2.2 |
Educational Level | ||
High school | 74 | 18.4 |
Undergraduate | 223 | 55.3 |
Graduate | 106 | 26.3 |
Employment | ||
Employed | 263 | 65.3 |
Unemployed | 140 | 34.7 |
Occupation type | ||
Frontline job | 99 | 37.6 |
Non frontline job | 164 | 62.4 |
Previous history of allergy to medication/vaccine | ||
Yes | 39 | 9.7 |
No | 272 | 67.5 |
Unaware | 92 | 22.8 |
Have you had any other vaccines, beside the Covid 19 vaccine in the last 5 years? | ||
Yes | 62 | 15.4 |
No | 341 | 84.6 |
As shown in Table 2, the majority of participants (56.6 %) received the Pfizer (Comirnaty) vaccine, followed by AstraZeneca (Vaxzervria) (21.6%). Notably, almost two-thirds (74.2 %) of the respondents had tested positive with COVID-19 at least once in their lifetime.
Frequency | Percentage(%) | |
Types of COVID-19 vaccination | ||
AstraZeneca (Vaxzervria®) | 87 | 21.6 |
Moderna (Spikevax®) | 27 | 6.7 |
Pfizer (Comirnaty®) | 228 | 56.6 |
Sinovac (CoronaVac®) | 61 | 15.1 |
Tested positive for COVID-19 at least once in their lifetime | ||
Yes | 299 | 74.2 |
No | 104 | 25.8 |
Table 3 illustrates the percentage of participants who experienced side effects after the vaccination. Among the total 403 participants, a majority (71.5%) experienced side effects after COVID-19 vaccination, with more than half (66.3%) being women. Participants in the age range of 45 – 54 years old (26.4%) experienced side effects compared to other age groups.
Frequency | Percentage (%) | |
Experienced side effects after COVID-19 vaccination | ||
Yes | 288 | 71.5 |
No | 115 | 26.1 |
Gender | ||
Men | 97 | 33.7 |
Women | 191 | 66.3 |
Age | ||
18 – 24 | 50 | 17.4 |
25 – 34 | 64 | 22.2 |
35 – 44 | 73 | 25.3 |
45 – 54 | 76 | 26.4 |
55 – 64 | 25 | 8.7 |
The distribution of the number of side effects reported after the vaccination, expressed in percentages, is displayed in Table 4. Fever was reported as the most frequent side effect experienced among the participants. Pfizer vaccine has the highest percentage of fever experienced by the participants at 71.4 %, followed by AstraZeneca’s vaccine at 13.5 %, then it’s Sinovac at 10.3 % and lastly Moderna at 3.8 % of the participants. The participants also experienced arm pain, which was the second most prevalent side effect experienced among all the participants who received the vaccine, with 61.9 % reported by participants who were vaccinated with the Pfizer vaccine, and 22.9 % reported by participants who received the AstraZeneca vaccine. Among 115 participants who did not experience any side effects after the vaccination, 52.2 % participants received the Pfizer vaccine, followed by 23.5 % received the AstraZeneca vaccine, and lastly 8.7 % received the Moderna vaccine.
Side Effects | AstraZeneca (Vaxzevria) | Moderna (SpikeVax) | Pfizer (Comirnaty) | Sinovac (Coronavac) | Total |
Fever | 25 | 7 | 132 | 19 | 185 |
Arm Pain | 27 | 4 | 73 | 14 | 118 |
Swelling on body | 18 | 7 | 25 | 11 | 61 |
Palpitation | 18 | 9 | 22 | 11 | 60 |
Body ache | 1 | 2 | 9 | 5 | 17 |
Headache | 1 | 2 | 7 | 4 | 14 |
Rash | 2 | - | 1 | 8 | 11 |
Vomiting | 2 | - | 6 | 2 | 10 |
Difficulty Breathing | 3 | - | 2 | - | 5 |
Chest Pain | 2 | - | 2 | - | 4 |
Tiredness | 2 | - | 2 | - | 4 |
Migraine | - | 2 | 1 | 1 | 4 |
Fatigue | - | - | 3 | - | 3 |
Lack of Appetite | - | - | 3 | - | 3 |
Mood swings | - | - | 1 | - | 1 |
No Side Effect | 27 | 10 | 60 | 18 | 115 |
Based on the severity of the side effects, this question addresses whether the patients had to seek hospitalisation. The majority of participants (92%) did not experience severe side effects and did not require hospitalisation. However, 23 (8%) participants were admitted due to the side effects. On the other hand, 114 participants (40%) who faced side effects did not consume any over the counter medication and recovered over time (Table 5).
Frequency | Percentage (%) | |
Hospitalisation due to vaccination | ||
No | 265 | 92 |
Yes | 23 | 8 |
Self-medicated | ||
No | 114 | 40 |
Yes | 174 | 60 |
Participants Opinion Assessment
Next, participants' opinion regarding the vaccination program was assessed. About 38.5 % of participants expressed ‘likely’ about being self-volunteers for the vaccination program. Besides, 32.8 % were ‘likely’ to support the program. On the concern that the COVID-19 vaccine was not offered to them, 31% of the participants answered ‘neither’ (Table 5).
Frequency | Percentage (%) | |
Self-volunteer for vaccination program | ||
Very likely | 22 | 5.5 |
Likely | 155 | 38.5 |
Neither | 112 | 27.8 |
Unlikely | 85 | 21.1 |
Very unlikely | 29 | 7.2 |
Support initiative on vaccination program | ||
Very likely | 25 | 6.2 |
Likely | 132 | 32.8 |
Neither | 107 | 26.6 |
Unlikely | 107 | 26.6 |
Very unlikely | 32 | 7.9 |
Your concern if the COVID-19 vaccine was not offered to you | ||
Extremely concerned | 33 | 8.2 |
Concerned | 117 | 29.0 |
Neither | 125 | 31.0 |
Not concerned | 104 | 25.8 |
Extremely not concerned | 24 | 6.0 |
Impact of age, gender, previous vaccination and willingness to participate in vaccination programme
Subjects aged 55-64 years (OR: 0.187, 95% CI: 0.45-0.775 vs subjects aged 18-24 years), previously vaccinated for other diseases (OR: 0.442, 95% CI: 0.218-0.896 vs unvaccinated subjects) and had taken medications for previous COVID-19 episodes (OR: 0.426, 95% CI: 0.237-0.767 vs those who did not) showed lower willingness to participate in vaccination programme (Table 6).
B | SE | p-value | OR | Lower | Upper | |
Age=18 to 24 | Reference | |||||
Age=25 to 34 | -0.401 | 0.513 | 0.435 | 0.670 | 0.245 | 1.832 |
Age=35 to 44 | -0.802 | 0.590 | 0.174 | 0.448 | 0.141 | 1.426 |
Age=45 to 54 | -0.922 | 0.585 | 0.115 | 0.398 | 0.126 | 1.251 |
Age=55 to 64 | -1.679 | 0.726 | 0.021 | 0.187 | 0.045 | 0.775 |
Gender=Male | Reference | |||||
Gender=Female | 0.405 | 0.268 | 0.132 | 1.499 | 0.886 | 2.537 |
Ethnicity=Malay | Reference | |||||
Ethnicity=Chinese | -0.176 | 0.385 | 0.648 | 0.839 | 0.395 | 1.783 |
Ethnicity=Indian | -0.206 | 0.335 | 0.538 | 0.814 | 0.422 | 1.568 |
Ethnicity=Others | 0.059 | 0.794 | 0.941 | 1.060 | 0.224 | 5.025 |
Ethnicity=Not comfortable to answer | -21.311 | 40192.970 | 1.000 | 0.000 | 0.000 | . |
Employment Status=Working | Reference | |||||
Employment Status=Unemployed | -0.267 | 0.446 | 0.550 | 0.766 | 0.320 | 1.836 |
Educational Level=Graduate | Reference | |||||
Educational Level=Undergraduate | 0.083 | 0.306 | 0.786 | 1.086 | 0.597 | 1.978 |
Educational Level=High School | 0.104 | 0.447 | 0.815 | 1.110 | 0.462 | 2.667 |
Occupation Type=Frontliner | Reference | |||||
Occupation Type=non-frontliner | -0.142 | 0.321 | 0.659 | 0.868 | 0.463 | 1.628 |
Occupation Type=None | -0.080 | 0.576 | 0.889 | 0.923 | 0.299 | 2.852 |
Occupation Type=Student | -0.661 | 0.782 | 0.398 | 0.516 | 0.111 | 2.393 |
Marital Status=Married | Reference | |||||
Marital Status=Unmarried | -0.093 | 0.331 | 0.780 | 0.912 | 0.476 | 1.745 |
Marital Status=Widowed or Divorced | 0.811 | 0.622 | 0.192 | 2.251 | 0.665 | 7.619 |
Morbidity=Yes | Reference | |||||
Morbidity=No | -0.253 | 0.421 | 0.549 | 0.777 | 0.340 | 1.774 |
Morbidity=Unaware | -0.550 | 0.486 | 0.258 | 0.577 | 0.223 | 1.496 |
Taken other vaccines=Yes | Reference | |||||
Taken other vaccines=No | -0.815 | 0.360 | 0.024 | 0.442 | 0.218 | 0.896 |
COVID-19 Vaccine= AstraZeneca (Vaxzevria) | Reference | |||||
COVID-19 Vaccine=Pfizer (Comirnaty) | 0.077 | 0.335 | 0.818 | 1.080 | 0.560 | 2.081 |
COVID-19 Vaccine=Sinovac (Coronavac) | -0.420 | 0.433 | 0.332 | 0.657 | 0.281 | 1.536 |
COVID-19 Vaccine=Moderna (SpikeVax) | -0.965 | 0.659 | 0.143 | 0.381 | 0.105 | 1.386 |
COVID-19 Vaccine=Sinovac + Pfizer | -20.232 | 40192.970 | 1.000 | 0.000 | 0.000 | . |
Previous COVID-19 History=Yes | Reference | |||||
Previous COVID-19 History=No | 0.581 | 0.317 | 0.067 | 1.788 | 0.961 | 3.327 |
Recovered from COVID-19 Side Effects=Yes | Reference | |||||
Recovered from COVID-19 Side Effects=No | -0.650 | 0.490 | 0.185 | 0.522 | 0.200 | 1.364 |
Recovered from COVID-19 Side Effects=Unsure | -0.352 | 0.406 | 0.386 | 0.704 | 0.318 | 1.558 |
Hospitalisation After Side Effects=Yes | Reference | |||||
Hospitalisation After Side Effects=No | -.062 | .466 | .894 | .940 | .377 | 2.344 |
Taken Over-the-Counter Medication=Yes | Reference | |||||
Taken Over-the-Counter Medication=No | -0.853 | 0.300 | 0.004 | 0.426 | 0.237 | 0.767 |
Impact of age, race, previous vaccination and COVID-19 vaccination initiatives
Subjects aged 35-44 years (OR: 0.181, 95% CI: 0.054-0.607 vs subjects aged 18-24 years) and 45-54 years (OR: 0.181, 95% CI: 0.054-0.607 vs subjects aged 18-24 years), were Chinese (OR: 0.446, 95% CI: 0.203-0.980 vs Malays), and had taken other non-COVID-19 vaccines (OR: 0.370, 95% CI: 0178- 0.767 vs those who had not taken), were less supportive towards COVID-19 vaccination initiatives. In contrast, female subjects were more likely to support the initiatives compared to males (OR: 1.944, 95% CI: 1.119-3.376).
B | SE | p-value | OR | Lower | Upper | |
Age=18 to 24 | Reference | |||||
Age=25 to 34 | -0.927 | 0.540 | 0.086 | 0.396 | 0.137 | 1.141 |
Age=35 to 44 | -1.711 | 0.618 | 0.006 | 0.181 | 0.054 | 0.607 |
Age=45 to 54 | -1.776 | 0.622 | 0.004 | 0.169 | 0.050 | 0.573 |
Age=55 to 64 | -1.285 | 0.728 | 0.077 | 0.277 | 0.066 | 1.152 |
Gender=Male | Reference | |||||
Gender=Female | 0.665 | 0.282 | 0.018 | 1.944 | 1.119 | 3.376 |
Ethnicity=Malay | Reference | |||||
Ethnicity=Chinese | -0.807 | 0.401 | 0.044 | 0.446 | 0.203 | 0.980 |
Ethnicity=Indian | -0.307 | 0.339 | 0.365 | 0.736 | 0.379 | 1.429 |
Ethnicity=Others | 0.428 | 0.919 | 0.642 | 1.534 | 0.253 | 9.297 |
Ethnicity=Not comfortable to answer | -20.990 | 40192.970 | 1.000 | 0.000 | 0.000 | . |
Employment Status=Working | Reference | |||||
Employment Status=Unemployed | -0.239 | 0.474 | 0.615 | 0.788 | 0.311 | 1.996 |
Educational Level=Graduate | Reference | |||||
Educational Level=Undergraduate | -0.134 | 0.314 | 0.669 | 0.875 | 0.472 | 1.619 |
Educational Level=High School | -0.692 | 0.473 | 0.144 | 0.500 | 0.198 | 1.265 |
Occupation Type=Frontliner | Reference | |||||
Occupation Type=Non-frontliner | -0.154 | 0.333 | 0.643 | 0.857 | 0.446 | 1.645 |
Occupation Type=None | -0.153 | 0.608 | 0.801 | 0.858 | 0.261 | 2.824 |
Occupation Type=Student | -0.683 | 0.838 | 0.416 | 0.505 | 0.098 | 2.613 |
Marital Status=Married | Reference | |||||
Marital Status=Unmarried | -0.166 | 0.347 | 0.632 | 0.847 | 0.429 | 1.671 |
Marital Status=Widowed or Divorced | 0.194 | 0.653 | 0.766 | 1.214 | 0.338 | 4.363 |
Morbidity=Yes | Reference | |||||
Morbidity=No | -0.422 | 0.428 | 0.324 | 0.656 | 0.284 | 1.516 |
Morbidity=Unaware | -0.636 | 0.495 | 0.199 | 0.529 | 0.201 | 1.396 |
Taken other vaccines=Yes | Reference | |||||
Taken other vaccines=No | -0.995 | 0.372 | 0.007 | 0.370 | 0.178 | 0.767 |
COVID-19 Vaccine= AstraZeneca (Vaxzevria) | Reference | |||||
COVID-19 Vaccine=Pfizer (Comirnaty) | -0.119 | 0.345 | 0.730 | 0.888 | 0.452 | 1.745 |
COVID-19 Vaccine=Sinovac (Coronavac) | -0.740 | 0.449 | 0.099 | 0.477 | 0.198 | 1.150 |
COVID-19 Vaccine=Moderna (SpikeVax) | -0.834 | 0.698 | 0.232 | 0.434 | 0.111 | 1.704 |
COVID-19 Vaccine=Sinovac + Pfizer | -21.408 | 40192.970 | 1.000 | 0.000 | 0.000 | . |
Previous COVID-19 History=Yes | Reference | |||||
Previous COVID-19 History=No | 0.439 | 0.332 | 0.186 | 1.551 | 0.810 | 2.971 |
Recovered from COVID-19 Side Effects=Yes | Reference | |||||
Recovered from COVID-19 Side Effects=No | -0.544 | 0.503 | 0.280 | 0.580 | 0.216 | 1.556 |
Recovered from COVID-19 Side Effects=Unsure | 0.265 | 0.419 | 0.528 | 1.303 | 0.573 | 2.964 |
Hospitalisation After Side Effects=Yes | Reference | |||||
Hospitalisation After Side Effects=No | 0.180 | 0.478 | 0.706 | 1.198 | 0.469 | 3.058 |
Taken Over the Counter Medication=Yes | Reference | |||||
Taken Over the Counter Medication=No | -0.331 | 0.309 | 0.285 | 0.718 | 0.392 | 1.316 |
Impact of age, race, previous vaccination and COVID-19 vaccination initiatives
Subjects aged 55-64 years (OR: 0.208, 95% CI: 0.047-0.927 vs subjects aged 18-24 years), were Chinese (OR: 0.290, 95% CI: 0.128-0.659 vs Malays), had taken non-COVID-19 vaccination (OR: 0.488, 95% CI: 0.242-0.985 vs those who had not), and had recovered from COVID-19 side effects (OR: 0.325, 95% CI: 0.117-0.905 vs those who had not) showed lower concern if they were not offered COVID-19 vaccines.
B | SE | p-value | OR | Lower | Uppe r | |
Age=18 to 24 | Reference | |||||
Age=25 to 34 | -0.425 | 0.521 | 0.415 | 0.654 | 0.236 | 1.814 |
Age=35 to 44 | -0.622 | 0.597 | 0.298 | 0.537 | 0.167 | 1.730 |
Age=45 to 54 | -1.147 | 0.603 | 0.057 | 0.317 | 0.097 | 1.035 |
Age=55 to 64 | -1.572 | 0.763 | 0.039 | 0.208 | 0.047 | 0.927 |
Gender=Male | Reference | |||||
Gender=Female | 0.059 | 0.280 | 0.833 | 1.061 | 0.613 | 1.836 |
Ethnicity=Malay | Reference | |||||
Ethnicity=Chinese | -1.236 | 0.418 | 0.003 | 0.290 | 0.128 | 0.659 |
Ethnicity=Indian | -0.668 | 0.344 | 0.052 | 0.513 | 0.261 | 1.007 |
Ethnicity=Others | 0.004 | 0.841 | 0.996 | 1.004 | 0.193 | 5.218 |
Ethnicity=Not comfortable to answer | 21.667 | 40192.969 | 1.000 | 2569093 809.360 | 0.000 | . |
Employment Status=Working | Reference | |||||
Employment Status=Unemployed | 0.417 | 0.457 | 0.361 | 1.518 | 0.620 | 3.717 |
Educational Level=Graduate | Reference | |||||
Educational Level=Undergraduate | 0.449 | 0.322 | 0.163 | 1.567 | 0.834 | 2.945 |
Educational Level=High School | -0.316 | 0.477 | 0.507 | 0.729 | 0.286 | 1.855 |
Occupation Type=Frontliner | Reference | |||||
Occupation Type=Non-frontliner | -0.470 | 0.334 | 0.159 | 0.625 | 0.325 | 1.201 |
Occupation Type=None | -0.888 | 0.602 | 0.140 | 0.412 | 0.127 | 1.339 |
Occupation Type=Student | -0.776 | 0.797 | 0.330 | 0.460 | 0.097 | 2.193 |
Marital Status=Married | Reference | |||||
Marital Status=Unmarried | -0.187 | 0.344 | 0.587 | 0.830 | 0.423 | 1.627 |
Marital Status=Widowed or Divorced | -0.397 | 0.751 | 0.597 | 0.673 | 0.154 | 2.930 |
Morbidity=Yes | Reference | |||||
Morbidity=No | 0.125 | 0.430 | 0.772 | 1.133 | 0.487 | 2.635 |
Morbidity=Unaware | 0.393 | 0.492 | 0.424 | 1.482 | 0.565 | 3.886 |
Taken other vaccines=Yes | Reference | |||||
Taken other vaccines=No | -0.718 | 0.358 | 0.045 | 0.488 | 0.242 | 0.985 |
COVID-19 Vaccine= AstraZeneca (Vaxzevria) | Reference | |||||
COVID-19 Vaccine=Pfizer (Comirnaty) | -0.032 | 0.349 | 0.927 | 0.968 | 0.488 | 1.921 |
COVID-19 Vaccine=Sinovac (Coronavac) | 0.092 | 0.451 | 0.838 | 1.096 | 0.453 | 2.654 |
COVID-19 Vaccine=Moderna (SpikeVax) | -0.285 | 0.701 | 0.685 | 0.752 | 0.191 | 2.970 |
COVID-19 Vaccine=Sinovac + Pfizer | -20.722 | 40192.970 | 1.000 | 0.000 | 0.000 | . |
Previous COVID-19 History=Yes | Reference | |||||
Previous COVID-19 History=No | 0.261 | 0.326 | 0.424 | 1.298 | 0.685 | 2.461 |
Recovered from COVID-19 Side Effects=Yes | Reference | |||||
Recovered from COVID-19 Side Effects=No | -1.123 | 0.522 | 0.031 | 0.325 | 0.117 | 0.905 |
Recovered from COVID-19 Side Effects=Unsure | -0.157 | 0.411 | 0.702 | 0.855 | 0.382 | 1.911 |
Hospitalisation After Side Effects=Yes | Reference | |||||
Hospitalisation After Side Effects=No | 0.375 | 0.495 | 0.448 | 1.455 | 0.552 | 3.837 |
Taken Over the Counter Medication=Yes | Reference | |||||
Taken Over the Counter Medication=No | -0.261 | 0.307 | 0.395 | 0.770 | 0.422 | 1.406 |
Discussion
Overall, most participants for this study are men, within the range of 45- to 54-year-olds and of Malay ethnicity. More than half of the participants are Pfizer vaccine recipients. As stated on the Malaysia Ministry of Health (MOH) vaccination website (https://covidnow.moh.gov.my/vaccinations), data from 5 October 2022, the most common vaccine used in Malaysia is Pfizer (61.2 %), Sinovac 29.8 %, AstraZeneca 7.9 % and lastly Cansino (0.3%). From a total of 408 participants, 288 of them experienced side effects from COVID-19 vaccination, with mostly females (66.3%) and received the Pfizer (Comirnaty®) vaccine. Pfizer (Comirnaty®) vaccine was reported to have more side effects compared to other types of vaccines (Al Khames Aga et al., 2021; He et al., 2021).
It found that more female participants in our study than male participants reported suffering the adverse events. These findings were in line with those of Ossato et al. (2023), and Alghamdi et al. (2021), who found that vaccine-associated adverse events (AEs) were more common in females than in males. Hormonal and immunological variances have been posited to elucidate this discrepancy, with female subjects typically exhibiting more vigorous immune responses, resulting in elevated antibody synthesis and a heightened incidence of adverse events after influenza vaccination (Klein, S. L., & Flanagan, 2016). This observation aligns with empirical investigations revealing that female individuals also frequently experience more pronounced reactions to other vaccinations (Kiely et al., 2023; Klein et al., 2010).
The preponderance of adverse events catalogued in this investigation was classified as mild to moderate in intensity, including fever and localised pain at the injection site, and most cases resolved without necessitating hospitalisation. This observation bolsters the assertion regarding the safety profile of COVID-19 vaccines, as instances of severe adverse events remained infrequent (8% hospitalisation within this cohort). This finding is in line with previous findings that COVID-19 vaccination caused mild to moderate, short-term side effects such as injection-site pain, fatigue, headache, and fever (Omeish et al., 2022; Alhazmi et al., 2021; Riad et al., 2021). Nevertheless, serious side effects such as venous thromboembolism, arrhythmia, and convulsion/seizure were reported among Pfizer (Comirnaty®) vaccine recipients (Ab Rahman et al., 2022).
Intriguingly, participants within the age bracket of 45 to 54 years exhibited a greater propensity to report side effects when juxtaposed with younger demographics. This phenomenon may be correlated with immunosenescence, wherein older adults demonstrate diminished immune responses, while middle- aged individuals may elicit more vigorous responses, culminating in discernible side effects (Fleisher, 2013). A study by El-Shitany et al., 2021 reported that Pfizer (Comirnaty®) recipients over 60 years of age experienced side effects such as local symptoms and injection site pain compared to those under 60 years old; meanwhile, those under 60 years of age experienced flu-like symptoms and flu symptoms more than those over 60 years old in Saudi Arabia. Side effects such as normal injection site pain, fatigue and headache were more common in participants aged ≤49 years versus >49 years of the Sinopharm recipients in UAE (Saeed et al., 2021). Conversely, the ≤ 39 years old age group had a significantly higher level of side effects, such as headache/fatigue and joint pain, than the older age group ≥ 39 years old) for Pfizer (Comirnaty®) recipients among German health workers (Klugar et al., 2021).
Our logistic regression analysis revealed that a prior history of vaccination against other diseases and previous utilisation of COVID-19 medications were correlated with a diminished willingness to engage in COVID-19 vaccination initiatives. This underscores the potential influence of vaccine fatigue and earlier negative health experiences in shaping public attitudes (Syed Alwi et al., 2021). The substantial proportion of participants (74.2%) reporting prior COVID-19 infection may have additionally impacted the reporting of side effects, as individuals with a history of infection are known to generate more robust immune responses, thereby reporting a greater frequency of side effects post-vaccination. The public health ramifications of these findings are significant for the uptake of booster vaccinations in Malaysia. Local research (Lee et al., 2023) has already indicated that adverse experiences following primary vaccination are predictive of reduced acceptance of booster doses.
Our findings reinforce the necessity for targeted educational initiatives and reassurance strategies, particularly aimed at women and those who have previously encountered side effects. From a policy perspective, clear communication emphasising that the majority of side effects are mild, self-limiting, and indicative of immune protection may serve to mitigate vaccine hesitancy. Healthcare professionals should prioritise active post-vaccination monitoring and facilitate access to consultations to enhance confidence in forthcoming immunisation campaigns.
Limitations
This study has several limitations. The cross-sectional design limits the ability to establish causal relationships between vaccination and the reported adverse events. Data obtained through self- administered online questionnaires may be subject to recall and reporting biases. As the survey was conducted online, individuals without internet access may have been excluded, leading to potential selection bias and underrepresentation of certain population groups. Furthermore, voluntary participation could have attracted respondents with stronger experiences or opinions, affecting the overall representativeness of the findings. Lastly, the reported adverse events were not clinically verified, which may influence the accuracy of the data.
Conclusion
This survey provides significant insights into the adverse events encountered by vaccinated individuals in Malaysia. The preponderance of adverse effects was mild and ephemeral, with merely a minor fraction necessitating hospitalisation. Female participants and those within the 45–54 age bracket exhibited a higher propensity to report side effects, which is consistent with international trends. The results underscore the necessity for transparent communication and supportive post-vaccination care to mitigate public apprehension. Enhancing vaccine education and addressing hesitancy are imperative to achieving elevated coverage for booster initiatives and forthcoming immunisation programs. The existence of vaccine hesitancy associated with adverse experiences should prompt policymakers to formulate customised risk communication strategies, particularly targeting individuals with previous negative encounters. Healthcare professionals ought to be equipped with the skills to reassure patients regarding anticipated side effects, distinguish them from serious adverse reactions, and deliver timely interventions. Our findings further accentuate the importance of ongoing pharmacovigilance and extended safety monitoring of COVID-19 vaccines in Malaysia, thereby fostering public confidence in continuous immunisation endeavours. Future investigations should delve into the psychological and social dimensions of vaccine acceptance, in addition to examining the long-term effects of repeated booster doses.
Conflict of Interest
The author(s) declare that there is no conflict of interest regarding the publication of this article.
Acknowledgement
The authors would like to thank K. Saminathan, Ashwini Gengatharan, Noradliyanti Rusli from Universiti Geomatika Malaysia for invaluable support.
References
Ab Rahman, N., Lim, M. T., Lee, F. Y., Lee, S. C., Ramli, A., Saharudin, S. N., ... & SAFECOVAC study group. (2022). Risk of serious adverse events after the BNT162b2, CoronaVac, and ChAdOx1 vaccines in Malaysia: A self-controlled case series study. Vaccine, 40(32), 4394-4402. https://doi.org/10.1016/j.vaccine.2022.05.075
Al Khames Aga, Q. A., Alkhaffaf, W. H., Hatem, T. H., Nassir, K. F., Batineh, Y., Dahham, A. T., ... & Traqchi, M. (2021). Safety of COVID‐19 vaccines. Journal of Medical Virology, 93(12), 6588-6594. https://doi.org/10.1002/jmv.27214
Alghamdi, A., Ibrahim, A., Almutairi, R., Joseph, M., Alghamdi, G., & Alhamza, A. (2021). A cross- sectional survey of side effects after COVID-19 vaccination in Saudi Arabia: Male versus female outcomes. Journal of Advanced Pharmacy Education & Research, 11(2), 51-56. https://doi.org/10.51847/bCwca2qGfP
Alhazmi, A., Alamer, E., Daws, D., Hakami, M., Darraj, M., Abdelwahab, S., ... & Algaissi, A. (2021). Evaluation of side effects associated with COVID-19 vaccines in Saudi Arabia. Vaccines, 9(6), 674. https://doi.org/10.3390/vaccines9060674
Centers for Disease Control and Prevention (CDC). (2025). Coronavirus Disease 2019 (COVID-19) vaccine safety. U.S. Department of Health & Human Services. https://www.cdc.gov/vaccine- safety/vaccines/covid-19.html
De Bruin, Y. B., Lequarre, A. S., McCourt, J., Clevestig, P., Pigazzani, F., Jeddi, M. Z., ... & Goulart, M. (2020). Initial impacts of global risk mitigation measures taken during the combatting of the COVID-19 pandemic. Safety Science, 128, 104773. https://doi.org/10.1016/j.ssci.2020.104773
El-Shitany, N. A., Harakeh, S., Badr-Eldin, S. M., Bagher, A. M., Eid, B., Almukadi, H., ... & El-Hamamsy, M. (2021). Minor to moderate side effects of Pfizer-BioNTech COVID-19 vaccine among Saudi residents: a retrospective cross-sectional study. International Journal of General Medicine, 1389-1401. https://doi.org/10.1016/j.ssci.2020.104773
Feng, W., Zong, W., Wang, F., & Ju, S. (2020). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): a review. Molecular Cancer, 19(1), 100. https://doi.org/10.1186/s12943-020-01218-1
Fleisher, T. A., Shearer, W. T., Frew, A. J., Schroeder Jr, H. W., & Weyand, C. M. (2013). Clinical immunology, principles and practice (Expert Consult-Online and Print), 4: Clinical immunology. Elsevier Health Sciences.
Hamdan, N. E. A., Fahrni, M. L., & Lazzarino, A. I. (2022). COVID-19 vaccination prioritization strategies in Malaysia: a retrospective analysis of early evidence. Vaccines, 11(1), 48. https://doi.org/10.3390/vaccines11010048
He, Q., Mao, Q., Zhang, J., Bian, L., Gao, F., Wang, J., ... & Liang, Z. (2021). COVID-19 vaccines: current understanding on immunogenicity, safety, and further considerations. Frontiers in Immunology, 12, 669339. https://doi.org/10.3389/fimmu.2021.669339
Karuppannan, M., Ming, L. C., Abd Wahab, M. S., Mohd Noordin, Z., Yee, S., & Hermansyah, A. (2024). Self-reported side effects of COVID-19 vaccines among the public. Journal of Pharmaceutical Policy and Practice, 17(1), 2308617. https://doi.org/10.1080/20523211.2024.2308617
Kiely, M., Tadount, F., Lo, E., Sadarangani, M., Wei, S. Q., Rafferty, E., ... & MacDonald, S. E. (2023). Sex differences in adverse events following seasonal influenza vaccines: a meta-analysis of randomised controlled trials. Journal of Epidemiol Community Health, 77(12), 791-801. https://doi.org/10.1136/jech-2023-220781
Klein, S. L., & Flanagan, K. L. (2016). Sex differences in immune responses. Nature Reviews Immunology, 16(10), 626-638. https://doi.org/10.1038/nri.2016.90
Klein, S. L., Jedlicka, A., & Pekosz, A. (2010). The Xs and Y of immune responses to viral vaccines. The Lancet infectious diseases, 10(5), 338-349.https://www.thelancet.com/journals/laninf/article/PIIS1473309910700499/abstract
Klugar, M., Riad, A., Mekhemar, M., Conrad, J., Buchbender, M., Howaldt, H. P., & Attia, S. (2021). Side effects of mRNA-based and viral vector-based COVID-19 vaccines among German healthcare workers. Biology, 10(8), 752. https://doi.org/10.3390/biology10080752
Lee, K. W., Yap, S. F., Ong, H. T., Oo, M., & Swe, K. M. M. (2023). COVID-19 vaccine booster hesitancy in Malaysia: a web-based cross-sectional study. Vaccines, 11(3), 638. https://doi.org/10.3390/vaccines11030638
Mehta, O. P., Bhandari, P., Raut, A., Kacimi, S. E. O., & Huy, N. T. (2021). Coronavirus disease (COVID-19): comprehensive review of clinical presentation. Frontiers in Public Health, 8, 582932. https://doi.org/10.3389/fpubh.2020.582932
Ministry of Health Malaysia. (2025). COVID-19 Vaccination: Vaccination Progress by State. Ministry of Health Malaysia. https://data.moh.gov.my/dashboard/covid-vaccination
Ministry of Health Malaysia. (n.d.). Vaccinations — COVIDNOW. COVIDNOW Malaysia. Retrieved December 12, 2025, from https://covidnow.moh.gov.my/vaccinations
Ng, J. W. J., Vaithilingam, S., Nair, M., Hwang, L. A., & Musa, K. I. (2022). Key predictors of COVID-19 vaccine hesitancy in Malaysia: An integrated framework. PLoS One, 17(5), e0268926. https://doi.org/10.1371/journal.pone.0268926
Omeish, H., Najadat, A., Al-Azzam, S., Tarabin, N., Abu Hameed, A., Al-Gallab, N., ... & Aldeyab, M. A. (2022). Reported COVID-19 vaccines side effects among Jordanian population: a cross sectional study. Human Vaccines & Immunotherapeutics, 18(1), 1981086. https://doi.org/10.1080/21645515.2021.1981086
Onyeaka, H., Anumudu, C. K., Al-Sharify, Z. T., Egele-Godswill, E., & Mbaegbu, P. (2021). COVID-19 pandemic: A review of the global lockdown and its far-reaching effects. Science Progress, 104(2), 00368504211019854. https://doi.org/10.1177/003685042110198
Ossato, A., Tessari, R., Trabucchi, C., Zuppini, T., Realdon, N., & Marchesini, F. (2023). Comparison of medium-term adverse reactions induced by the first and second dose of mRNA BNT162b2 (Comirnaty, Pfizer-BioNTech) vaccine: a post-marketing Italian study conducted between 1 January and 28 February 2021. European Journal of Hospital Pharmacy, 30(4), e15-e15. https://doi.org/10.1136/ejhpharm-2021-002933
Peng, X. L., Cheng, J. S. Y., Gong, H. L., Yuan, M. D., Zhao, X. H., Li, Z., & Wei, D. X. (2021). Advances in the design and development of SARS-CoV-2 vaccines. Military Medical Research, 8(1), 67. https://doi.org/10.1186/s40779-021-00360-1
Riad, A., Pokorná, A., Attia, S., Klugarová, J., Koščík, M., & Klugar, M. (2021). Prevalence of COVID-19 vaccine side effects among healthcare workers in the Czech Republic. Journal of Clinical Medicine, 10(7), 1428. https://doi.org/10.3390/jcm10071428
Saeed, B. Q., Al-Shahrabi, R., Alhaj, S. S., Alkokhardi, Z. M., & Adrees, A. O. (2021). Side effects and perceptions following Sinopharm COVID-19 vaccination. International Journal of Infectious Diseases, 111, 219-226. https://doi.org/10.1016/j.ijid.2021.08.013
Suah, J. L., Tok, P. S. K., Ong, S. M., Husin, M., Tng, B. H., Sivasampu, S., ... & Peariasamy, K. M. (2021). PICK-ing Malaysia’s epidemic apart: effectiveness of a diverse COVID-19 vaccine portfolio. Vaccines, 9(12), 1381. https://doi.org/10.3390/vaccines9121381
Syed Alwi, S. A. R., Rafidah, E., Zurraini, A., Juslina, O., Brohi, I. B., & Lukas, S. (2021). A survey on COVID-19 vaccine acceptance and concern among Malaysians. BMC public health, 21(1), 1129. https://doi.org/10.1186/s12889-021-11071-6
Yaamika, H., Muralidas, D., & Elumalai, K. (2023). Review of adverse events associated with COVID- 19 vaccines, highlighting their frequencies and reported cases. Journal of Taibah University Medical Sciences, 18(6), 1646-1661. https://doi.org/10.1016/j.jtumed.2023.08.004
Zaim, S., Chong, J. H., Sankaranarayanan, V., & Harky, A. (2020). COVID-19 and multiorgan response. Current Problems in Cardiology, 45(8), 100618. https://doi.org/10.1016/j.cpcardiol.2020.100618