Keywords
SARS-CoV-2, vaccination, adverse effects, hesitancy, real-world data 25
26
Running title: SARS-CoV-2 vaccination adverse effects 27
28
Main Points: Our representative population -based cohort study demonstrated the safety of 29
three SARS -CoV-2 vaccines and provides real -world estimates on adverse effect incidence. 30
Transparent communication of expected adverse effects to vaccine-seeking individuals is pivotal 31
to build trust in current or future vaccination campaigns. 32
33
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
3
Abstract
34
Importance: Long-term control of SARS-CoV-2 requires effective vaccination strategies. This has 35
been challenged by public mistrust and spread of misinformation regarding vaccine safety. 36
Hence, better understanding and communication on the longer -term and comparative 37
experiences of general population individuals following SARS-CoV-2 vaccination are required. 38
39
Objective
To evaluate and compare self -reported adverse effects following SARS -CoV-2 40
vaccination, participants’ perceptions regarding vaccinations and their compliance with 41
recommended public health measures. 42
43
Design, Setting and Participants: Population-based longitudinal cohort of 575 adults, randomly 44
selected from all individuals presenting to the reference vaccination center of the Canton of 45
Zurich, Switzerland, for receipt of BNT162b2, mRNA1273, or JNJ-78436735. 46
47
Exposures: BNT162b2, mRNA1273, or JNJ-78436735 vaccines. 48
49
Main Outcomes and Measures: Primary outcomes included period prevalence, onset, duration, 50
and severity of self-reported adverse effects over 12 weeks following vaccination with a specific 51
focus on the proportion of participants reporting allergic reactions, menstrual irregularities, or 52
cardiac adverse effects, or requiring hospitalization. Secondary outcomes included risk factors 53
associated with reporting adverse effects, perception of vaccine importance, trust in public 54
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
4
health authorities and pharmaceutical companies, and compliance with recommended public 55
health measures. 56
57
Results
454 (79.0%) participants reported at least one adverse e ffect during 12 weeks after 58
vaccination. Prevalence was highest among mRNA-1273 recipients (88.7% vs. 77.3% after 59
BNT162b2, 69.1% after JNJ -78436735). Most adverse effects were systemic (72%), occurred 60
within 24 hours (67.9%), and resolved in less than thr ee days (76.3%). 85.2% were reported as 61
mild or moderate. Allergic reactions were reported by 0. 4% of participants , hospitalizations by 62
0.7%, cardiac adverse effects by 1.4%. Menstrual irregularities were reported by 9% of female 63
participants younger than 50 years. Female sex, younger age, higher education, and receipt of 64
mRNA-1273 were associated with reporting adverse effects. Compared to JNJ -78436735 65
recipients, a higher proportion of mRNA vaccine recipients agreed that vaccination is important 66
(87.5% vs. 28.5%), and trusted public health authorities (80.2% vs. 30.3%) and pharmaceutical 67
companies (71.7% vs. 23.6%). 68
69
Conclusions
and Relevance: Our population-based cohort provided real -world data on self -70
reported adverse effects following SARS -CoV-2 vaccin ation and highlights the importance of 71
transparent communication regarding adverse effects and building trust in public health 72
authorities to ensure successful future vaccination campaigns. 73
74
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
5
Introduction
75
Beginning with the first vaccinations against SARS -CoV-2 in December 2020, the largest global 76
vaccination campaign in recent history capture d the public and professional attention for 77
months. Apart from the obvious focus on efficacy, concerns about vaccine-related adverse 78
effects dominated the professional and public discourse during the campaign. The fast-track 79
authorization of the technologically new mRNA vaccines BNT162b2 (Pfizer -BioNTech) and 80
mRNA1273 (Moderna) in some countries and misinformation contributed to vaccine skepticism 81
and hesitancy.[1-5] This highligh ts the importance of understanding and accurately 82
communicating information regarding adverse effects , including vaccine safety profiles, to 83
improve vaccine confidence and uptake. 84
The current body of evidence on adverse effects following SARS-CoV-2 vaccination consists 85
mostly of data reported in randomized clinical trials (RCTs) and reports to government-based 86
surveillance systems, such as the European EudraVigilance, US VAERS (Vaccine Adverse Event 87
Reporting System), or Swiss ElViS (Electronic Vigilance System). Adverse effects reported in RCTs 88
have been primarily mild and self-limited,[6, 7] with systemic reactions (e.g. fatigue, headache, 89
pain) and local injection site reactions (e.g. pain, erythema, swelling) being the most frequent.[8-90
10] In contrast, severe adverse effects accounted for a significantly higher proportion of reports 91
in governmental surveillance systems.[11-13] This was to be expected as reporting to surveillance 92
systems is subject to several biases including underreporting of mild and common adverse effects 93
and increased reporting of those which are severe or widely reported in the media. [14, 15] 94
Although RCTs pr ovided important evidence on the safety of individual vaccines, they offered 95
little side-by-side comparisons. Furthermore, RCTs yield data collected on selected populations 96
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
6
raising the issue of how well th is data correlates to “real -world” experiences. The few studies 97
eliciting patient-reported symptoms following different vaccines in real-world settings often had 98
cross-sectional designs and were conducted among very specific groups such as healthcare 99
workers or university students, which may not be representative of the general population.[6, 7] 100
In this population-based study, we aimed to deliver a comprehensive comparative analysis of 101
self-reported adverse effects up to 12 weeks after receipt of three SARS-CoV-2 vaccines approved 102
in Switzerland in 2021. Further objectives were to examine the general perception and attitudes 103
of individuals regarding SARS-CoV-2 vaccination and their compliance with recommended public 104
health measures. Thereby, we aim to improve our understanding of the adverse health e ffects 105
experienced following vaccination in the general population to provide an evidence base for 106
future vaccination campaigns in view of the likely implementation of additional booster 107
vaccinations and updated SARS-CoV-2 vaccines. 108
109
Methods
110
Study design, participants, and recruitment 111
This study is based on the Zurich SARS-CoV-2 Vaccine Cohort, an ongoing prospective population-112
based cohort study. We recruited participants between March 10, 2021, and January 27, 2022, 113
at the University of Zurich’s (UZH) vaccination center, the reference center for the Canton of 114
Zurich, Switzerland. All individuals scheduled to receive one of the SARS-CoV-2 vaccines approved 115
in Switzerland in 2021 , BNT162b2 (Pfizer -BioNTech), mRNA1273 (Moderna), or JNJ -78436735 116
(Johnson & Johnson), were screened for eligibility. Eligibility criteria were being 18 years or older, 117
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
7
being able to follow study procedures, having sufficient knowledge of the German language and 118
residing in the Canton of Zurich . We excluded individuals who had already received a first dose 119
of a SARS -CoV-2 vaccine. A daily age -stratified (18-64 years, 65 years or older) random sample 120
was selected separately for each approved vaccine from all eligible individuals belonging to the 121
following vaccination groups as defined by the Canton of Zurich [16, 17]: “Over 75 years”, “over 122
65 years”, “ between 50 –64 years”, and “between 18 –49 years”. We excluded individuals 123
belonging to groups specific for “healthcare workers”, “caretakers of high -risk patients”, 124
“individuals living in communal facilities”, and “individuals with the highest risk diseases” to 125
ensure that that our sample was representative of the general population. [18, 19] Randomly 126
selected individuals were then invited to participate in our study. We obtained written informed 127
consent from all participants. We were unable to reach the desired sample size for JNJ-78436735 128
recipients 65 years or older, due to limited demand. 129
The study protocol was prospectively registered on the International Standard Randomized 130
Controlled Trial Number Registry (ISRCTN 15499304) and approve d by the ethics committee of 131
the Canton of Zurich (BASEC 2021-00273). 132
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
8
133
Figure 1. Recruitment of study cohort 134
135
Data sources and measurements 136
Upon enrolment, all participants completed a baseline questionnaire including questions on their 137
sociodemographics, medical and smoking history, SARS-CoV-2 related information such as prior 138
infections, perceptions and attitudes regarding vaccination, trust in public health authorities and 139
pharmaceutical companies , and compliance wi th recommended public health measures 140
(including use of the SwissCovid digital proximity tracing app) . Perception, attitude, and 141
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
9
compliance questions were collected using a numerical scale (0 “Very low opinion”, to 100 “Very 142
high opinion” for perception), or a 5-item Likert (ranging from “ Strongly disagree” to "Strongly 143
agree” for trust-related statements, and from “Never/Impossible” to “Always” for statements on 144
compliance with public health measures). We pooled BNT162b2 and mRNA-1273 recipients into 145
one “mRNA vaccine” group since they expressed similar perceptions towards vaccination and 146
compliance with recommended measures (Supplement 1). 147
We provided participants with a paper symptom diary and instructed them to record any adverse 148
effect they experienced during 12 weeks after vaccination, as free text , including start and end 149
dates, perceived severity (on a 5 -item Likert scale, ranging from "Very mild" to "Very severe"), 150
and consequences of the adverse effects (i.e., self-medication, need for healthcare services, or 151
hospitalizations). Symptom diaries were collected at the 12 -week follow -up visit. Participants 152
received additional electronic questionnaires at 4, 6, and 12 weeks, in which they were asked to 153
report any positive SARS -CoV-2 polymerase chain reaction (PCR) or rapid antigen test s. We 154
excluded all reported adverse effects starting within three days before and at any timepoint after 155
positive SARS-CoV-2 tests to ensure that reported symptoms were related to vaccination rather 156
than infection. To determine the proportion of participants with past SARS -CoV-2 infection, we 157
measured participants’ anti -SARS-CoV-2 Spike (S) -IgA and IgG antibodies at baseline using a 158
highly sensitive and specific Luminex technology-based assay.[20] 159
We collected and managed all study data using the Research Electronic Data Capture (REDCap) 160
system.[21, 22] 161
162
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
10
Outcomes 163
Our primary outcomes included period prevalence, onset, duration, and severity of self-reported 164
adverse effects over 12 weeks following vaccinatio n, with a specific focus on the proportion of 165
participants reporting allergic reactions, menstrual irregularities, or cardiac adverse effects, or 166
requiring hospitalization. Secondary outcomes included risk factors associated with adverse 167
effect reports, general perceptions and attitudes regarding vaccination, trust in public health 168
authorities and pharmaceutical companies, and compliance with recommended public health 169
measures. 170
171
Statistical Analysis 172
We descriptively analyzed the characteristics and outcomes of interest for the overall cohort and 173
for each of the three vaccine groups . Continuous variables are reported as median with 174
interquartile range (IQR); categorical or ordinal variables as frequencies (N) and percentages 175
(%).We coded adverse effect data reported by participants in the symptom diary according to 176
the Medical Dictionary for Regulatory Activities (MedDRA) hierarchical terminology (Supplement 177
2).[23] The self-reported adverse effects were translated from German to the closest m atching 178
MedDRA “low level term”. All corresponding higher-level terms were included in the database, a 179
highest level of coding was added , labelling each adverse effect either as “local” or “systemic”. 180
We explored associations of several predictor variables on the outcome of reporting one or more 181
adverse e ffects using a multivariable logistic regression model . Age, sex, vaccine type and 182
education were included a priori variables in the model based on findings from other studies.[6] 183
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
11
Results
are presented as odds ratios (OR) with their 95% confidence intervals (CI) and two-sided 184
p-value. All analyses were performed using R (version 4.1.2). 185
186
Results
187
Cohort characteristics 188
Of our 575 participants, 323 participants (56.2%) were female, and the median age was 59 years 189
(IQR 41 to 70) (Table 1). 411 (71.5%) participants received a mRNA-based vaccine (2 doses 3 to 4 190
weeks apart, 36.2% BNT162b2 and 35.3% mRNA-1273) and 164 (28.5%) received a vector-based 191
vaccine (1 dose, JNJ-78436735). The proportion of participants with a higher level of education 192
(39.8% vs 61.8%) was lower among JNJ -78436735 recipients compared to mRNA vaccine 193
recipients. 194
37 participants (6.4%) reported ever having a positive SARS-CoV-2 test prior to vaccination, with 195
a higher proportion among JNJ -78436735 recipients (9. 7% vs 6.4% of mRNA -1273 and 3. 7% of 196
BNT162b2 recipients). 19 (9.2%) BNT162b2 recipients, 24 (11.8%) mRNA-1273 recipients and 29 197
(17.6%) JNJ-78436735 recipients tested seropositive for a nti-SARS-CoV-2 S-IgA or -IgG before 198
receiving the first vaccination dose. 199
200
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
12
Table 1. Demographic and clinical characteristics of study population 201
BNT162b2
(Pfizer/BioNTech)
mRNA-1273
(Moderna)
JNJ-78436735
(Johnson & Johnson)
Overall
(N=207) (N=203) (N=165) (N=575)
Age, median (IQR) -in years 59 (36 to 75) 65 (42.5 to 69) 58 (45 to 70) 59 (41 to 70)
Age distribution - no. of participants (%)
<65 years 106 (51.2%) 99 (48.8%) 103 (62.4%) 308 (53.6%)
≥65 years 101 (48.8%) 104 (51.2%) 62 (37.6%) 267 (46.4%)
Female sex - no. of participants (%) 115 (55.6%) 120 (59.1%) 88 (53.3%) 323 (56.2%)
Presence of at least one preexisting
medical condition (%)
80 (40.8%) 78 (42.2%) 64 (43.2%) 222 (42.0%)
Highest educational level - no. of
participants (%)
None or mandatory school 9 (4.4%) 4 (2.0%) 7 (4.3%) 20 (3.5%)
Vocational training or specialized
baccalaureate
71 (34.5%) 72 (35.6%) 91 (55.8%) 234 (41.0%)
Higher technical school or college 46 (22.3%) 44 (21.8%) 40 (24.5%) 130 (22.8%)
University 80 (38.8%) 82 (40.6%) 25 (15.3%) 187 (32.7%)
Missing 1 (0.5%) 1 (0.5%) 2 (1.2%) 4 (0.7%)
Reported adverse effects - no. of
participants (%)
160 (77.3%) 180 (88.7%) 114 (69.1%) 456 (79.3%)
Tested seropositive for anti-SARS-CoV-2
S-IgA at baseline - no. of participants (%)
12 (5.8%) 14 (6.9%) 20 (12.1%) 46 (8.0%)
Tested seropositive for anti-SARS-CoV-2
S-IgG at baseline - no. of participants (%)
15 (7.2%) 19 (9.4%) 24 (14.5%) 58 (10.1%)
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
13
Reported positive SARS-CoV-2 test prior
to baseline - no. of participants (%)
8 (3.9%) 13 (6.4%) 16 (9.7%) 37 (6.4%)
SARS-CoV-2 Infection prior to baseline
(self-reported infection or tested
seropositive)- no. of participants (%)
21 (10.1%) 28 (13.8%) 31 (18.8%) 80 (13.9%)
Tested positive for anti-SARS-CoV-2 S-
IgA or IgG at baseline with no report of
prior SARS-CoV-2 Infection- no. of
participants (%)
13 (6.3%)
15 (7.4%)
15 (9.1%)
43 (7.5%)
202
Frequency and characteristics of adverse effects 203
Overall, 79.0% (N= 454) of all participants reported at least one adverse effect up to three months 204
following vaccination, with a total of 2397 reported adverse effects. The highest proportion of 205
participants with adverse effects after vaccination was among mRNA-1273 recipients (88.7%, 206
N=180) compared to BNT162b2 (77.3%, N=160) and JNJ-78436735 ( 69.1%, N=114) recipients. 207
Based on a multivariable logistic regression model, we found strong to very strong evidence that 208
female sex (OR =4.05 (95% CI: 2.33 to 7.3), p<0.001), higher education levels (vs. none or 209
mandatory school, OR=6.26 (1.86 to 21.2), p=0.003) and receiving mRNA-1273 (vs. BNT162b2, 210
OR=2.38 (1.22 to 4.8), p=0.013) were associated wit h adverse effect reports. There was weak 211
evidence that younger age (<65 vs. ≥65 years, OR=1.65 (0.96 to 2.9 ), p=0.072) was associated 212
with adverse effect s. We found no evidence that JNJ-78436735 (vs. BNT162b2), preexisting 213
conditions, low opinion (opinion value <50) about vaccination and SARS-CoV-2 infections prior to 214
vaccination were associated with adverse effects (Supplement 3). 215
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
14
More participants reported systemic (71.7%, N=412) than local adverse effects (54.8%, N=315). 216
Among mRNA vaccine recipients, the proportion of systemic among all adverse effects increased 217
after the 2 nd dose (63.9% to 77.2% in BNT162b2 and 59.1% to 78.0% in mRNA-1273 recipients, 218
Supplement 4). The most common adverse effect mentioned by mRNA vaccine recipients was 219
local pain ( 54.1% of BNT162b2 and 69.5% of mRNA-1273 recipients), followed by asthenia 220
(fatigue; 38.7% of BNT162b2 and 44.8% of mRNA-1273 recipients). JNJ-78436735 recipients most 221
frequently reported headache ( 36.4%), followed by local pain ( 30.9%) and asthenia ( 30.9%). 222
Other commonly reported adverse effects included nausea, vertigo, and sore throat (all >5%). Of 223
our participants, 0.4% ( n=2) (one BNT162b2 and one mRNA -1273 recipient) reported allergic 224
reactions. Adverse effects affecting menstruation were reported by 5 out of 47 (10.6%) female 225
participants younger than 50 among BNT162b2 recipients, 4 out of 42 (9.5%) among mRNA-1273 226
recipients and 2 out of 31 (6.5%) among JNJ-78436735 recipients (six participants reported cycle 227
irregularities, three heavy menstrual bleeding, three intermenstrual bleeding) . Tachycardia or 228
palpitations were reported by seven (1.2%) participants, four mRNA-1273, two JNJ-78436735 and 229
one BNT162b2 recipient. One BNT162b2 recipient reported pericardial effusion and atrial 230
fibrillation after the second dose. 231
Most adverse effects ( 83.9%) occurred in the first week following vaccination , 67.9% within 24 232
hours. Participants reported that adverse effects lasted for 3.9 days on average , and most 233
resolved within 3 ( 76.3%) days. Asthenia, extremity pain , and cough were most frequently 234
reported to last longer than a week. Adverse effect onset and duration were similar across the 235
three vaccines (Figure 2A, Supplement 5). 236
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
15
The perceived severity of most adverse effects was mild ( 49.0%) or moderate ( 36.2%). 237
Meanwhile, 14.7% were described as severe (13.4%) or very severe (1.3%), with the highest 238
proportion of severe to very severe adverse effects reported after JNJ-78436735 (18.3% vs 16.1% 239
after mRNA-1273, 9.4% after BNT162b2). Asthenia (1 3.1%), headache (1 2.8%) and pain ( 9.4%) 240
were mostly reported as severe or very severe adverse effects. Hospitalization due to reported 241
adverse effects was reported by 0.7% (n=4) of participants (two BNT162b2 recipients with loss of 242
consciousness and bullous pemphigoid, one mRNA -1273 recipient with retinal detachment and 243
one JNJ-78436735 recipient with meningitis). 244
Most reported adverse effects resolved spontaneously ( Figure 2C). However, partici pants 245
reported using self -prescribed medications ( e.g., Paracetamol or Ibuprofen) or seeking 246
consultation with a healthcare provider for 448 (18.7%) and 84 (3.5%) of the adverse effects , 247
respectively. 248
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
16
249
Figure 2. Frequency of any, local and systemic adverse effects. Panel A shows five most common systemic and local 250
adverse effects in overall sample (N=575). Panel B shows adverse effects by vaccine type (BNT162b2 N=208, mRNA-251
1273 N=203, JNJ-78436735 N=164). 252
78.96
71.65
54.78
52.87
38.61
35.3
19.83
18.96
15.3
5.39
4.7
2.96
1.91
0
20
40
60
80
Any Symptom
Any Systemic Symptom
Any Local Symptom
Local Pain
Asthenia (Fatigue)
Headache
Pyrexia
Systemic Pain
Chills
Local Erythema
Local Swelling
Local Lymphnodes
Local Pruritus
Percentage of Participants [%]
OverallA
77.29
65.7
55.56 54.11
38.65
28.02
11.599.66
5.8
2.9 1.930.97 0
88.67
82.27
72.41
69.46
44.83
41.87
26.11 25.62
18.23
13.79
9.85
4.433.94
69.09
66.06
36.36
32.12 30.91 30.91
24.85 23.64
20
3.03 1.210.61 0.61
JNJ−78436735
mRNA−1273
BNT162b2
Any Symptom
Any Systemic Symptom
Any Local Symptom
Local Pain
Asthenia (Fatigue)
Headache
Pyrexia
Systemic Pain
Chills
Local Erythema
Local Swelling
Local Lymphnodes
Local Pruritus
0
25
50
75
0
25
50
75
0
25
50
75
By VaccineB
Any Adverse Effects Local Systemic
Prevalence of Adverse Effects
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
17
253
Figure 3. Characteristics of self-reported adverse effects. Panel A shows the time of adverse effect onset by vaccine, 254
panel B perceived adverse effect severity by vaccine and panel C the consequences of adverse effects by vaccine. 255
(ER: Emergency Room) 256
257
Perceptions of vaccination and compliance with recommended public health measures 258
More mRNA vaccine recipients (87.5%) agreed completely or in part with the statement that it 259
was important to be vaccinated compared to 28.5% of JNJ-78436735 recipients. Similarly, more 260
mRNA vaccine recipients felt that vaccines were a part of a healthy lifestyle (63.6% vs. 28.9% of 261
JNJ-78436735 recipients). Trust in public health authorities (80.2% vs. 30.3%) and pharmaceutical 262
companies (71. 7% vs. 23. 6%) was higher among mRNA vaccine recipients compared to JNJ-263
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
18
78436735 recipients. Both groups felt they had sufficient understanding of how the vaccine 264
helped the body fend off infectious diseases (89.3% mRNA vaccine recipients vs. 62.4% JNJ -265
78436735 recipients ) and reported similar compliance with recommended public health 266
measures (Figure 3B). Use of the SwissCovid digital proximity tracing app was higher among 267
mRNA vaccine recipients compared to JNJ-78436735 recipients (53.2% vs 27.4%). 268
269
Figure 4. Perception of vaccination and compliance with recommended public health measures. 270
271
mRNA−Vaccines JNJ−78436735
0% 25% 50% 75% 100% 0% 25% 50% 75% 100%
I trust the Federal Office of Public Health (FOPH).
I trust the vaccine producers and pharmaceutical companies in general.
I understand how vaccines help my body to fend off infectious disease.
Vaccines are part of a healthy lifestyle.
I think it is important to be vaccinated.
I disagree completely Rather disagree Neutral Rather agree I agree completely
Trust in Vaccine and InstitutionsA
0% 25% 50% 75% 100% 0% 25% 50% 75% 100%
I was able to work from home.
I was able to adhere to recommended hygiene guidelines.
I was able to practise social distancing.
I wore a mask when away from home.
I avoided larger crowds.
Never/Impossible Rarely Sometimes Frequently Always
Compliance with Recommended Public Health MeasuresB
0% 25% 50% 75% 100% 0% 25% 50% 75% 100%
Do you currently use the Swiss Covid App?
Yes, always Yes, sometimes No
Swiss Covid App UseC
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
19
Discussion
272
In this population-based cohort of 575 individuals who received a SARS-CoV-2 vaccine and were 273
followed-up over 12 weeks, participants commonly reported adverse effects, namely local pain, 274
fatigue, headache, and fever. Most adverse effects were mild to moderate and resolved with in 275
three days. Allergic reactions (0. 4%) and adverse effects requiring hospitalization (0. 7%) were 276
rare. Around 9% of female participants younger than 50 reported menstrual cycle changes, more 277
frequently among mRNA vaccine recipients. Female sex, receiving mRNA-1273, higher education 278
and younger age were associated with experiencing adverse effects. JNJ-78436735 recipients less 279
frequently perceived vaccination to be important and had lower trust in public health authorities 280
and pharmaceutical companies compared to mRNA vaccine recipients. There were no differences 281
between vaccine groups in compliance with preventive public health measures. 282
Our results on the prevalence and severity of adverse effects are in line with previously 283
reported data from RCTs and other observational studies.[6, 9, 10, 24-26] In an online survey 284
among individuals vaccinated with either BNT162b2, mRNA-1273, or JNJ-78436735, Beatty et 285
al. reported that 80.3% of participants experienced adverse effects, with comparable estimates 286
for each vaccine type.[6] Our data also matches the prevalence published in the RCTs for each 287
vaccine individually.[8-10]. The proportion of adverse effects that were self-assessed to be 288
severe or required hospitalization in our study (14.8%) was well below that of Swiss and 289
European governmental surveillance systems (37.9% in Swiss ElViS).[11, 12] US surveillance 290
reports also stated higher estimates of serious adverse events based on hospitalization rates, 291
serious illness and deaths (9.2% vs. our 0.7%).[13] These higher estimates from governmental 292
reporting systems are likely related to the underreporting of mild symptoms and underscore 293
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
20
the importance of “real-world” data.[14, 15] There is wide variation in reports on prevalence of 294
anaphylaxis and severe allergic reactions ranging from 0.03% to 3%, due to differing 295
definitions.[6, 27, 28] In our study, two (0.4%) participants reported allergic reactions, without 296
requiring medical attention. 297
Our follow-up over 12 weeks allowed us to assess adverse effects that occur with some delay , 298
such as menstrual changes reported in 9% of female participants younger than 50 years. Few 299
studies have described menstrual irregularities following SARS -CoV-2 vaccination with 300
prevalence ranging between 0.3% and 46%.[29, 30] This large variability and the high prevalence 301
(37.8%) of menstrual irregularities in the general population regardless of vaccination underscore 302
the challenge of attributing changes in the menstrual cycle to vaccination. [31] Further research 303
is needed on the influence of SARS -CoV-2 vaccination on menstruation and the general impact 304
of vaccination on female recipients, as we and others observed that female recipients were 305
generally more likely to experience adverse effects.[32-35] 306
We also found that participants who were younger than 65 years and received mRNA-1273 were 307
more likely to report adverse effects possibly due to stronger immune responses among these 308
groups.[6, 13, 26] Similarly, other studies have found evidence that SARS-CoV-2 infections prior 309
to vaccination may be associated with adverse effects reports due to increased 310
immunogenicity.[6, 7] While we found that individuals with prior SARS-CoV-2 infections were 1.8 311
times more likely to report adverse effect s compared to those without, the findings were not 312
statistically significant, potentially due to insufficient power in our study. 313
mRNA vaccine recipients trusted vaccines in general and thus were mostly motivated to be 314
vaccinated as soon as SARS -CoV-2 vaccines became available. JNJ -78436735 recipients were 315
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
21
more hesitant and waited for JNJ-78436735’s introduction to Switzerland, resulting in a higher 316
proportion of individuals with infections prior to vaccination compared to mRNA vaccine 317
recipients. Other studies describe these concerns about the rapid development and fears of 318
adverse effects to be among the main reasons to wait for non -mRNA-based vaccines or other 319
alternatives.[36-38] General skepticism and the presence of nocebo effects , as demonstrated by 320
a Amanzio et al, may have translated into a higher proportion of JNJ -78436735 recipients 321
perceiving adverse effects as sev ere. [38-40] Increasing awareness of these nocebo responses 322
and using positive framing around the low risk of severe adverse effects may contribute to 323
improving vaccine acceptance. 324
This study provided evidence from a representative cohort recruited from the general population 325
and followed-up over a 12 -week period. Data collected through symptom diaries and adverse 326
effect coding according to MedDRA terms generated a comprehensive dataset allowing a 327
comparative analysis of three common SARS-CoV-2 vaccines. 328
However, there are several limitations to our study. First, self-selection bias may have occurred 329
if individuals who are more health literate or less hesitant participate d in our study , leading to 330
overestimations of trust in public health authorities and more positive perceptions of vaccines. 331
However, we consider the data on the prevalence of adverse effects as broadly representative . 332
Second, our data is self -reported. While this allows for an accurate description of vaccine 333
recipients' experiences, it is subjective and no verification of the relation of adverse effects and 334
vaccination by a healthcare provider was possible . Third, the absolute numbers of reports for 335
some adverse effects when analyzed individually are relatively small (e.g., menstrual changes). 336
Finally, our analysis was restricted to basic immunization of the three SARS -CoV-2 vaccines 337
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
22
approved in Switzerland at the time of study conduct . Further research on adverse effects 338
occurring after booster vaccinations , other types of vaccines and combinations of different 339
vaccines is needed. 340
341
Conclusion
342
This study demonstrates the safety of three SARS-CoV-2 vaccines in a representative population-343
based cohort and provides real-world estimates on adverse effect prevalence after vaccination. 344
Thereby, we importantly extend the evidence base for health-care providers to answer many of 345
the questions of individuals seeking vaccination. While further evidence on adverse effects after 346
booster vaccination and other vaccine types is required, our study suggests that transparent 347
communication regarding adverse effects and building trust in public health authorities are 348
pivotal future vaccination campaigns’ success. 349
350
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
23
Funding 351
This work was supported by funds received within the Corona Immunitas research network, of 352
which this study is part of. The Corona Immunitas research network is coordinated by the Swiss 353
School of Public Health (SSPH+) and funded by fundraising of SSPH+ including funds of the Swiss 354
Federal Office of Public Health and private funders (ethical guidelines for funding stated by 355
SSPH+ were respected), by funds of the cantons of Switzerland (Vaud, Zurich, and Basel), and by 356
institutional funds of the Universities. Additional funding specific for this cohort was received 357
from the Uniscientia Foundation (Switzerland). TB received funding from the European Union’s 358
Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant 359
agreement No 801076, through the SSPH+ Global PhD Fellowship Programme in Public Health 360
Sciences (GlobalP3HS) of the SSPH+. DM received funding by the UZH Postdoc Grant, grant no. 361
FK-22-053. 362
363
Acknowledgements
364
The authors thank the study administration team and the team from the University of Zurich’s 365
(UZH) vaccination center, the reference center for the Canton of Zurich, Switzerland, for their 366
dedicated support of the study. They also thank the study participants for their valuable 367
contribution to this project. 368
369
Conflict of Interest 370
The authors of this manuscript state no conflict of interest. 371
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
24
References
372
1. O'Callaghan KP, Blatz AM, Offit PA. Developing a SARS -CoV-2 Vaccine at Warp Speed. 373
JAMA 2020; 324(5): 437-8. 374
2. US Food and Drug Administration. Pfizer -BioNTechCOVID-19 vaccine emergency use 375
authorization. Available at: https://www.fda.gov/media/144412/download. Accessed 376
June 22. 377
3. US Food and Drug Administration. Moderna COVID -19 vaccine emergency use 378
authorization. Available at: https://www.fda.gov/media/144636/download. Accessed 379
June 22. 380
4. Khubchandani J, Sharma S, Price JH, Wiblishauser MJ, Sharma M, Webb FJ. COVID -19 381
Vaccination Hesitancy in the United States: A Rapid National Assessment. J Community 382
Health 2021; 46(2): 270-7. 383
5. Cascini F, Pantovic A, Al -Ajlouni Y, Failla G, Ricciardi W. Attitudes, acceptance and 384
hesitancy among the general population worldwide to receive the COVID-19 vaccines and 385
their contributing factors: A systematic review. EClinicalMedicine 2021; 40: 101113. 386
6. Beatty AL, Peyser ND, Butcher XE, et al. Analysis of COVID -19 Vaccine Type and Adverse 387
Effects Following Vaccination. JAMA Netw Open 2021; 4(12): e2140364. 388
7. Mathioudakis AG, Ghrew M, Ustianowski A, et al. Self -Reported Real-World Safety and 389
Reactogenicity of COVID-19 Vaccines: A Vaccine Recipient Survey. Life (Basel) 2021; 11(3). 390
8. Sadoff J, Gray G, Vandebosch A, et al. Safety and Efficacy of Single -Dose Ad26.COV2.S 391
Vaccine against Covid-19. N Engl J Med 2021; 384(23): 2187-201. 392
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
25
9. Polack FP, Thomas SJ, Kitchin N, et al. Safety and Efficacy of the BNT162b2 mRNA Covid -393
19 Vaccine. N Engl J Med 2020; 383(27): 2603-15. 394
10. Baden LR, El Sahly HM, Essink B, et al. Efficacy and Safety of the mRNA -1273 SARS-CoV-2 395
Vaccine. N Engl J Med 2021; 384(5): 403-16. 396
11. Swissmedic. Reports of suspected adverse reactions to COVID-19 vaccines in Switzerland 397
– update 26. Available at: 398
https://www.swissmedic.ch/swissmedic/en/home/news/coronavirus-covid-19/covid-399
19-vaccines-safety-update-16.html. Accessed 19 August. 400
12. European Medicines Agency. Safety of COVID -19 Vaccines. Available at: 401
https://www.ema.europa.eu/en/human-regulatory/overview/public-health-402
threats/coronavirus-disease-covid-19/treatments-vaccines/vaccines-covid-19/safety-403
covid-19-vaccines. Accessed August 24. 404
13. Gee J, Marquez P, Su J, et al. First Month of COVID-19 Vaccine Safety Monitoring - United 405
States, December 14, 2020-January 13, 2021. MMWR Morb Mortal Wkly Rep 2021; 70(8): 406
283-8. 407
14. Shimabukuro TT, Nguyen M, Martin D, DeStefano F. Safety monitoring in the Vaccine 408
Adverse Event Reporting System (VAERS). Vaccine 2015; 33(36): 4398-405. 409
15. Rosenthal S, Chen R. The reporting sensitivities of two passive surveillance systems for 410
vaccine adverse events. Am J Public Health 1995; 85(12): 1706-9. 411
16. Canton Zurich. Coronavirus vaccinatio n. Available at: 412
https://www.zh.ch/en/gesundheit/coronavirus/coronavirus-impfung.html. Accessed 413
13th July. 414
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
26
17. TravelClinic.ch. Impfgruppen. Available at: travelclinic.ch/ wp-415
content/uploads/Impfgruppen.pdf. Accessed 13th July. 416
18. Federal Office of Public Health. Kategorien besonders gefährdeter Personen. 417
bag.admin.ch: Federal Office of Public Health,, 2022 10.08.2022. 418
19. Federal Office of Public Health. Covid-19-Impfstrategie (Stand 05.07.2022). bag.admin.ch: 419
Federal Office of Public Health,, 2022 05.07.2022. 420
20. Fenwick C, Croxatto A, Coste AT, et al. Changes in SARS-CoV-2 Spike versus Nucleoprotein 421
Antibody Responses Impact the Estimates of Infections in Population -Based 422
Seroprevalence Studies. J Virol 2021; 95(3). 423
21. Harris PA, Taylor R, Minor BL, et al. The REDCap consortium: Building an international 424
community of software platform partners. J Biomed Inform 2019; 95: 103208. 425
22. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data 426
capture (REDCap)--a metadata-driven methodology and workflow process for providing 427
translational research informatics support. J Biomed Inform 2009; 42(2): 377-81. 428
23. Brown EG, Wood L, Wood S. The medical di ctionary for regulatory activities (MedDRA). 429
Drug Saf 1999; 20(2): 109-17. 430
24. Thomas SJ, Moreira ED, Kitchin N, et al. Safety and Efficacy of the BNT162b2 mRNA Covid-431
19 Vaccine through 6 Months. N Engl J Med 2021; 385(19): 1761-73. 432
25. Jęśkowiak I, Wiatra k B, Grosman -Dziewiszek P, Szeląg A. The Incidence and Severity of 433
Post-Vaccination Reactions after Vaccination against COVID -19. Vaccines (Basel) 2021; 434
9(5). 435
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
27
26. Vigezzi GP, Lume A, Minerva M, et al. Safety surveillance after BNT162b2 mRNA COVID -436
19 vaccination: results from a cross-sectional survey among staff of a large Italian teaching 437
hospital. Acta Biomed 2021; 92(S6): e2021450. 438
27. Shimabukuro T. Allergic reactions including anaphylaxis after receipt of the first dose of 439
Pfizer-BioNTech COVID -19 vaccine - United States, December 14 -23, 2020. Am J 440
Transplant 2021; 21(3): 1332-7. 441
28. Blumenthal KG, Robinson LB, Camargo CA, et al. Acute Allergic Reactions to mRNA COVID-442
19 Vaccines. JAMA 2021; 325(15): 1562-5. 443
29. Rogers A, Rooke E, Morant S, et al. Adverse events and overall health and well-being after 444
COVID-19 vaccination: interim resu lts from the VAC4COVID cohort safety study. BMJ 445
Open 2022; 12(6): e060583. 446
30. Lee KM, Junkins EJ, Fatima UA, Cox ML, Clancy KB. Characterizing menstrual bleeding 447
changes occurring after SARS-CoV-2 vaccination. medRxiv 2021: 2021.10.11.21264863. 448
31. Trogstad L. Increased occurrence of menstrual disturbances in 18 -to 30-year-old women 449
after COVID-19 vaccination. Available at SSRN 3998180 2022. 450
32. Ruggieri A, Anticoli S, D'Ambrosio A, Giordani L, Viora M. The influence of sex and gender 451
on immunity, infection and vaccination. Ann Ist Super Sanita 2016; 52(2): 198-204. 452
33. Klein SL, Marriott I, Fish EN. Sex-based differences in immune function and responses to 453
vaccination. Trans R Soc Trop Med Hyg 2015; 109(1): 9-15. 454
34. Flanagan KL, Fink AL, Plebanski M, Klein SL. Sex and Gender Differences in the Outcomes 455
of Vaccination over the Life Course. Annu Rev Cell Dev Biol 2017; 33: 577-99. 456
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
28
35. Fischinger S, Boudreau CM, Butler AL, Streeck H, Alter G. Sex differences in vaccine -457
induced humoral immunity. Semin Immunopathol 2019; 41(2): 239-49. 458
36. Wadman M. Novavax’s long-awaited COVID-19 vaccine authorizations offer an alternative 459
to mRNA. Available at: https://www.science.org/content/article/novavax-s-long-460
awaited-covid-19-vaccine-authorizations-offer-alternative-mrna. Accessed July 7th. 461
37. Wong MCS, Wong ELY, Cheung AWL, et al. COVID-19 Vaccine Hesitancy in a City with Free 462
Choice and Sufficient Doses. Vaccines (Basel) 2021; 9(11). 463
38. Latkin C, Dayton L, Yi G, Jaleel A, Nwosu C, Limaye R. COVID -19 vaccine delay: An 464
examination of United States residents' intention to delay vaccine uptake. Hum Vaccin 465
Immunother 2021; 17(9): 2903-13. 466
39. Planès S, Villier C, Mallaret M. The nocebo effect of drugs. Pharmacol Res Perspect 2016; 467
4(2): e00208. 468
40. Amanzio M, Mitsikostas DD, Giovannelli F, Bartoli M, Cipriani GE, Brown WA. Adverse 469
events of active and placebo groups in SARS -CoV-2 vaccine randomized trials: A 470
systematic review. Lancet Reg Health Eur 2022; 12: 100253. 471
472
473
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 27, 2022. ; https://doi.org/10.1101/2022.09.27.22280403doi: medRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.