Introduction
Since the onset of the COVID-19 pandemic in December 2019, several SARS-CoV-2 variants of concern (VOC) have emerged [
]. With the emergence of the Omicron VOC (BA.1) and its descendants (BA.2 and further), the pandemic has taken a new turn. Omicron variants are characterized by a high number of mutations compared with the ancestral strain and are associated with immune escape and enhanced angiotensin-converting enzyme-2 (ACE-2) binding [
[2]- Fan Y
- Li X
- Zhang L
- Wan S
- Zhang L
- Zhou F.
SARS-CoV-2 Omicron variant: recent progress and future perspectives.
,
[3]- Meng B
- Abdullahi A
- Ferreira IATM
- et al.
Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity.
]. In addition, the Omicron variants are less capable of infecting the lower respiratory tract due to a shift in cellular tropism away from transmembrane protease, serine 2 (TMPRSS2) expressing cells, promoting faster replication in the upper airways but reduced replication in the lungs [
[4]- Harvey WT
- Carabelli AM
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SARS-CoV-2 variants, spike mutations and immune escape.
,
]. As a consequence, the clinical picture of SARS-CoV-2 infection is changing, both in vaccinated and unvaccinated individuals. To date, most studies describing the changing symptomatology of COVID-19 during the Omicron period have focused on cases in hospitals [
[6]- Aiello TF
- Puerta-Alcalde P
- Chumbita M
- Monzó P
- Lopera C
- Hurtado JC
- et al.
Infection with the Omicron variant of SARS-CoV-2 is associated with less severe disease in hospitalized patients with COVID-19.
,
[7]- Nyberg T
- Ferguson NM
- Nash SG
- Webster HH
- Flaxman S
- Andrews N
- et al.
Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study.
]. This restricts analyses to more severe cases and therefore provides little understanding of disease evolution in community cases, which represent the overwhelming majority of all cases, and in particular in children, who only rarely require medical care for SARS-CoV-2 infection [
[8]- Whittaker R
- Greve-Isdahl M
- Bøås H
- Suren P
- Buanes EA
- Veneti L.
COVID-19 hospitalization among children <18 years by variant wave in Norway.
].
An appropriate setting to study the COVID-19 disease spectrum across pediatric and adult age groups is within households. We used a dataset from three prospective SARS-CoV-2 household transmission studies that used similar protocols to study age-stratified symptom burden of SARS-CoV2 infections during the wild-type/Alpha dominant period compared with the Omicron BA.1 and BA.2 dominant period, considering differences in vaccination and previous infection status. Our analyses are restricted to secondary household cases to avoid index case ascertainment bias.
Materials and methods
Study design and study population
We used data from three prospective household transmission studies conducted in two different SARS-CoV-2 variant periods: the Rapid European COVID-19 Emergency Response research (RECOVER) household study and CoKids study (wild-type/Alpha period) and the SARS-coV2 variants Evaluation in pRegnancy and paeDIatrics cohorts (VERDI)-RECOVER household study (Omicron period; Supplement Figures 1-2). The primary aim of the RECOVER household study was to characterize within-household transmission of SARS-CoV-2 and the impact of implemented measures within the household to prevent transmission. From April 2020 until April 2021, data from 276 Dutch, Belgium, and Swiss households with SARS-CoV-2 were collected. Study design and results on household transmission are published elsewhere [
[9]- Verberk JDM
- de Hoog MLA
- Westerhof I
- van Goethem S
- Lammens C
- Ieven G
- et al.
Transmission of SARS-CoV-2 within households: a remote prospective cohort study in European countries.
]. The CoKids study was set up to determine the susceptibility, transmissibility, and disease course of SARS-CoV-2 infection in children. From August 2020 until July 2021, data on 79 SARS-CoV-2 outbreaks in Dutch households with at least one child <18 years of age were collected. Study design and initial results are published elsewhere [
[10]- de Hoog MLA
- Sluiter-Post JGC
- Westerhof I
- Fourie E
- Heuvelman VD
- Boom TT
- et al.
Longitudinal household assessment of respiratory illness in children and parents during the COVID-19 pandemic.
]. The VERDI-RECOVER household study recruited from January to March 2022 during the period when Omicron BA.1 and BA.2 were dominant. This study aims to estimate household transmission rates in partially vaccinated populations and explores the viral kinetics in Omicron variant infected subjects. During wild-type/Alpha period, vaccination became available for adults (from January 2021 onwards). During the Omicron period, booster vaccinations were available for adults (in The Netherlands from December 2021 onwards) and primary series for adolescents (in The Netherlands from July 2021 onwards). Vaccination for children aged 5 to 11 became available for medical risk groups during mid-January 2022 in The Netherlands.
In all three studies, household outbreaks had started with the identification of an index case followed by repeated sampling and daily symptom monitoring in all household members until the outbreak ended. Enrollment took place within 48 hours following a positive SARS-CoV-2 polymerase chain reaction (PCR) test of the index case. Households were excluded if one or more household members did not consent to participate. In the VERDI-RECOVER household study, the additional exclusion criterium was SARS-CoV2 positivity in any of the household members in the previous 2 weeks. Here, these three studies were used to study and compare the COVID-19 disease spectrum across pediatric and adult age groups between SARS-CoV-2 variants (wild-type, Alpha, and Omicron BA.1 and BA.2).
The studies were reviewed and ethically approved by the Medical Ethical Committee Utrecht, The Netherlands (reference number 17-069/M), the Medical Ethical Committee of the Vrije Universiteit Medical Centre (VUmc), The Netherlands (reference number A2012.901), and the Medical Ethical Committee of Erasmus Medical Centre, The Netherlands (reference number MEC-2020-0609). Written informed consent was obtained from all participating household members and/or their legal representatives.
Study procedures
Most study procedures were done remotely using self-sampling and an interactive mobile phone application to accommodate pandemic restrictions on movement, social distancing, and isolation. At baseline, each household member completed a questionnaire including age, comorbidities, recent respiratory complaints, previous infections, and COVID-19 vaccination status. During follow-up, participants reported daily on presence and severity of a set of respiratory and systemic symptoms (see Supplementary Table 1), which was continued until 21 days after last symptom onset in any household member.
A courier delivered sample kits for self-sampling at home of specimens for viral and serological testing. Self-sampling was supported by live instruction or instruction videos and leaflets delivered with the sampling material. A telephone helpdesk was available 7 days a week during working hours. In each of the studies, the core protocol included a nose-throat swab (NTS) sample at day 0 for all household members and, if applicable, an additional NTS from a household member when he/she developed symptoms during follow-up. The core protocol could be extended with additional sample time points and specimens, but this differed between studies (Supplement Table 1). Therefore, those additional results were not used in the current analysis to guarantee similarity in case detection across cohorts. Dried blood spot (DBS) samples using self-finger-prick were collected at enrollment and at the end of follow-up.
For data collection of symptoms, questionnaires, and self-sampling, we used a custom-made mobile phone application (app) compatible with Apple and Android systems, developed by the University Medical Centre Utrecht in collaboration with YourResearch Holding BV. The study app contained all study-related tasks and questionnaires along with tutorial videos, frequently asked questions, and options to contact the study team. All data entered in the study app were stored in a secured online database. Data were accessible and could be navigated by the study team in real-time by authorized login on the online portal. Daily app notifications were sent to participants to remind them to complete diary entries and self-sampling when applicable. Study teams received daily reports on participant non-compliance, which were followed up by email, phone, or text message.
Laboratory analysis
NTS samples were PCR tested for presence of SARS-CoV-2, and DBS were tested by multiplex protein microarray for antibodies as described previously [
[9]- Verberk JDM
- de Hoog MLA
- Westerhof I
- van Goethem S
- Lammens C
- Ieven G
- et al.
Transmission of SARS-CoV-2 within households: a remote prospective cohort study in European countries.
,
[10]- de Hoog MLA
- Sluiter-Post JGC
- Westerhof I
- Fourie E
- Heuvelman VD
- Boom TT
- et al.
Longitudinal household assessment of respiratory illness in children and parents during the COVID-19 pandemic.
] at either the Streeklab Haarlem (CoKids cohort), National Institute for Public Health and the Environment (CoKids cohort), Antwerp University (RECOVER and VERDI-RECOVER cohorts), or Erasmus University Medical Center Rotterdam (RECOVER and VERDI-RECOVER cohorts). Details on the PCR and DBS methods used can be found in Supplement 1.
Definitions
Confirmed SARS-CoV-2 infection was defined as a positive reverse transcription-PCR SARS-CoV-2 result or seroconversion defined as SARS-CoV-2 nucleoprotein (NP)-antibody negative at enrollment and positive at the end of follow-up. A secondary household case was defined as a confirmed SARS-CoV-2 infection in a household member not being the index case.
We used the daily symptom data and date of positive test result to define onset and end of a SARS-CoV-2 episode. An episode started on the day of symptom onset, which had to fall within the 7 days before, or 7 days after first positive test result. An episode ended on the last symptomatic day that was followed by at least 2 days without any symptoms. SARS-CoV-2 disease severity was categorized into symptomatic disease, pauci-symptomatic, and asymptomatic episodes. Symptomatic disease was defined as (i) onset of fever OR (ii) 2 consecutive days with one respiratory (cough, sore throat, runny or congested nose, dyspnea) and one systemic symptom (headache, muscle ache, sweats or chills, or tiredness) or with at least two respiratory symptoms. Subjects meeting the criteria for symptomatic disease additionally received a daily symptom severity score which consisted of a 5-point Likert scale per reported symptom present, except for fever, which was categorized as <38/38-39/39-40/>40 degrees Celsius. An episode was defined as pauci-symptomatic if symptoms occurred within the specified time window but remained below the threshold for a symptomatic disease episode and asymptomatic if no symptoms were reported.
Vaccination status was categorized into unvaccinated, incompletely vaccinated, primary vaccinated, or primary plus booster vaccinated. Primary vaccinated was defined as two doses of a messenger RNA (mRNA) vaccine BNT162b2 or mRNA-1273 (Pfizer-BioNtech; Moderna), two doses of the vector-based AZD1222 (AstraZeneca), or a single dose of the vector-based Ad26.COV2.S vaccine (Johnson & Johnson) at least 14 days before enrollment. Primary plus booster vaccinated was defined as a third dose of mRNA vaccine or a second dose if the primary series consisted of a single dose of Ad26.COV2.S vaccine, at least 6 months after completion of the primary series and at least 14 days before enrollment. Previous infection was determined when previous infections were reported in the questionnaire or when antibodies (NP antibodies during Omicron period) were detected in the DBS at enrollment, indicating a previous infection. Previous immunity was defined by the presence of antibodies at enrollment, being vaccinated before enrollment, and/or self-reported previous enrollment infection.
Statistical analysis
Our population for analysis included all secondary household cases from the three cohorts. Index cases were excluded because index case ascertainment strategies differed between cohorts because of testing availability, and are inherently incomplete, which may select for more severe cases. We grouped cases by dominant variant period. Secondary cases from the RECOVER and CoKids cohorts were therefore assigned to the wild-type/Alpha variant, whereas cases from the VERDI-RECOVER cohort were assigned to the Omicron BA.1 and BA.2 period (see Supplementary Figure 1 for variant prevalence over time from national surveillance [
]). Population demographic and vaccination characteristics were compared by variant period using proportions and medians with interquartile ranges (IQRs).
We compared the symptoms and severity of secondary case episodes in the wild-type/Alpha variant dominant period to those in the Omicron-dominant period stratified by age category: child (age 0-11), adolescent: (age 12-17), and adult (age above 17). We studied symptom frequency by age category and variant using bar charts, daily symptom severity scores in spline plots, and symptom frequency over time since onset, age group, and variant using heat plots.
Missing diaries and symptom severity scores were imputed using the symptoms and severity of the day before and after the missing value. Cases that did not complete any diary were excluded. For each symptomatic episode, we computed the maximum symptom severity score, referring to the day with highest reported score during the episode, and the cumulative symptom severity score, referring to the sum of symptom severity scores during the entire episode. We used chi-square test for symptom frequency and Mann–Whitney U test for symptom duration, number of symptoms, maximum, and cumulative symptom severity score. Next, we explored the association between variants and symptoms using binomial and Gaussian multivariable regression models. Odds ratios (ORs) were computed for each respiratory and systemic symptom to quantify the association between variant and symptom frequency, adjusted for age, gender, and previous immunity. Previous immunity was based on vaccination status, serology at baseline, and/or a reported previous positive PCR or antigen test. For unvaccinated secondary cases with missing serology at baseline and no previous positive test, we assumed no previous immunity. In sensitivity analyses, we repeated the multivariate analyses assuming the 18 persons with unknown baseline serology had a previous infection.
The multivariate analysis was repeated to assess the effect of vaccination status (primary series vs booster) on symptom burden and the symptom duration and severity. Because the distributions of disease severity and duration were skewed, the data was log-transformed before estimating the mean difference in disease severity and duration between variants. This analysis was restricted to adults during the Omicron-dominant period, as this was the only age group who were eligible for booster vaccination at the time.
Statistical analyses were performed with R version 4.0.3 (R Core Team, Vienna, Austria). The t-test, chi-square, and multivariate logistic regression were used for statistical analysis with Holm–Bonferroni correction (P ˂0.05).
Discussion
Our analysis of symptom data of secondary household cases of SARS-CoV2 in a non-hospitalized general community, detected by comprehensive screening, provides a detailed comparison of SARS-CoV2 disease profiles in the community during two periods. During the wild-type/Alpha variant period, the population immunity was low, while in the (early) Omicron period, when BA.1 and BA.2 subvariants were dominant, a large proportion of the adult and adolescent population had been vaccinated, but not children <12 years. Interestingly, the symptom burden in children was higher during the Omicron period compared with the wild-type/Alpha period. In adults, there was a reduction in the number and duration of symptoms present during the Omicron period when nearly all of them had evidence of previous immunity from vaccination or previous infection. Trends in adolescents (93.3% vaccinated during Omicron period) were less clear, but overall numbers of infections in this age group were low. Adjusted for age, gender, and previous immunity Omicron was associated with lower odds for loss of smell or taste (OR: 0.14; 95% CI 0.03-0.50) and higher but non-significant odds for upper respiratory symptoms, fever, and fatigue (ORs varying between 1.85-2.23). No significant differences in symptoms were observed between primary vs primary plus booster-vaccinated adults during the Omicron period.
There is a general consensus that the Omicron BA.1 and BA.2 variants and its descendants cause less severe disease compared with previous variants of SARS-CoV-2 [
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Estimates of SARS-CoV-2 omicron variant severity in Ontario, Canada.
]. This notion is largely based on the lower risk of SARS-CoV-2 hospitalization and, in particular, intensive care unit admission, both in vaccinated and unvaccinated subjects, observed during the Omicron-dominant period [
[7]- Nyberg T
- Ferguson NM
- Nash SG
- Webster HH
- Flaxman S
- Andrews N
- et al.
Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study.
]. Our results demonstrate that the average symptom burden of SARS-CoV-2 respiratory illness in the community setting has not decreased substantially and was even increased in (largely non-immune) children when compared with earlier variants. Symptoms of upper respiratory illness were more common during the Omicron period, while loss of smell and taste, a typical symptom of earlier variants, was infrequent. In adults and adolescents, there was also a nearly 50% reduction in dyspnea, but this was non-significant because of small sample size. This shift in disease symptoms for Omicron has been described by others [
[14]- Vihta KD
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Omicron-associated changes in SARS-CoV-2 symptoms in the United Kingdom.
] and may be explained by the altered replication and cellular tropism of the Omicron variant in different compartments of the respiratory tract compared with earlier variants [
[14]- Vihta KD
- Pouwels KB
- Peto TEA
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- House T
- Studley R
- et al.
Omicron-associated changes in SARS-CoV-2 symptoms in the United Kingdom.
]. Several studies have described reduced replication of Omicron variants in lung parenchyma but increased replication with higher viral loads in bronchial and nasopharyngeal mucosae [
[15]- Meng B
- Abdullahi A
- Ferreira IATM
- Goonawardane N
- Saito A
- Kimura I
- et al.
Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity.
,
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- Ching RHH
- Lai KL
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SARS-CoV-2 Omicron variant replication in human bronchus and lung ex vivo.
]. This may lead to more mucosal damage and inflammation, predominantly in the upper respiratory tract, which is then reflected in the symptom burden. The site of SARS-CoV-2 infection and replication can thus determine the kind of symptoms experienced. This is particularly evident in subjects without previous immunity, i.e., unvaccinated children <12 years of age in our study.
We found no difference in symptomatology between primary series vaccinated and primary plus booster series vaccinated cases during the Omicron-dominant period, but our sample size was small. A study on breakthrough infections among vaccinated healthcare workers showed that 11% of the primary series vaccinated participants were asymptomatic compared with 16% of the primary plus booster series vaccinated participants [
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Effectiveness of mRNA booster vaccine among healthcare workers in New York City during the Omicron surge, December 2021 to January 2022.
], suggesting a small effect of boosters on symptom burden.
The interpretation of our results has some limitations. First, it is possible that co-infections with other pathogens influence disease severity, and co-infection rates may vary over time. Based on National Virological Surveillance data from The Netherlands, most respiratory viruses circulated at lower rates during the Omicron period compared with wild-type/Alpha period [
,
]. This could, therefore, not explain the higher symptom burden in children. Second, although similar protocols were used, the samples from the cohorts were tested at different laboratories (see Supplement Table 1), this may limit comparability to some extent. Third, we based previous infection status on the results of serology testing at enrollment and on self-reported history of positive PCR or antigen tests. Availability of PCR testing was limited in the first year of the pandemic, and antibodies from previous infections may have been undetectable at the time of enrollment due to waning [
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]. In our cohort, 44.6% of the adults had evidence of previous infection during the Omicron BA.1 and BA.2 period, but this is likely an underestimate. Fourth, the large majority of the adults and adolescents were vaccinated during the Omicron BA.1 and BA.2 period. This limited the extent of analyses and associations to be investigated. Last, the sample size in this study was not sufficient to detect smaller differences in symptom burden between periods and between vaccination statuses. Similarly, the low number of adolescent participants yielded insufficient power to obtain precise estimates for this age group.
Author contributions
Conceptualization: Patricia Bruijning‑Verhagen, Liesbeth Duijts, Marlies van Houten, Herman Goossens, and Carlo Giaquinto. Coordination data collection: Ilse Westerhof, Marieke de Hoog, and Patricia Bruijning-Verhagen. Lab analysis: Margareta Ieven, Christine Lammens, Janko van Beek, Dirk Eggink, and Sjoerd Euser. Data management: Ilse Westerhof and Marieke de Hoog. Methodology: Ilse Westerhof, Marieke de Hoog, and Patricia Bruijning‑Verhagen. Formal analysis: Ilse Westerhof and Marieke de Hoog. Visualization: Ilse Westerhof. Writing - original draft: Ilse Westerhof, Marieke de Hoog, and Patricia Bruijning-Verhagen. Writing - review and editing: Ilse Westerhof, Marieke de Hoog, Margareta Ieven, Christine Lammens, Janko van Beek, Ganna Rozhnova, Dirk Eggink, Sjoerd Euser, Joanne Wildenbeest, Liesbeth Duijts, Marlies van Houten, Herman Goossens, Carlo Giaquinto, and Patricia Bruijning‑Verhagen.
Article info
Publication history
Published online: December 22, 2022
Accepted:
December 14,
2022
Received in revised form:
December 12,
2022
Received:
October 11,
2022
Copyright
© 2022 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.