Abstract
Background
Human herpesviruses are widespread among the human population. The infections often occur unnoticed, but severe disease as well as long-term sequelae are part of the symptom spectrum. The prevalence varies among subpopulations and with time. The aim of this study was to describe the seroprevalence of Immunoglobulin G against Herpes simplex 1, Herpes simplex 2, Epstein-Barr virus and Cytomegalovirus in the adult Swedish population over a time period of several decades.
Methods
Serum samples (n = 892) from biobanks, originating from 30-year-old women, 50-year-old men and 50-year-old women sampled between 1975 and 2018, were analyzed for presence of anti-herpesvirus antibodies. Linear regression analysis was used to test for a correlation between birth year and seroprevalence. Multiple linear regression analysis was used to differentiate between other factors such as age and gender.
Results
Birth year correlated negatively with the prevalence of immunoglobulin G against Herpes simplex 1 and Epstein-Barr virus (p = 0.004 and 0.033), and positively with Immunoglobulin G against Cytomegalovirus (p = 0.039). When participant categories were analyzed separately, birth year correlated negatively with the prevalence of Immunoglobulin G against Herpes simplex 1 and Herpes simplex 2 (p = 0.032 and 0.028) in 30-year-old women, and with the prevalence of Immunoglobulin G against Cytomegalovirus in 50-year-old men (p = 0.011).
Conclusions
The prevalence of Immunoglobulin G against Herpes simplex 1, Herpes simplex 2 and Epstein-Barr virus decreases in later birth cohorts. This indicates a trend of declining risk of getting infected with these viruses as a child and adolescent.
Keywords: Herpes, Herpes simplex, Epstein-Barr virus, Cytomegalovirus, Seroprevalence, Epidemiology, Time trends, Immunoglobulin G
Background
Human herpesvirus (HHV1-8) are globally distributed among the human population, causing a variety of diseases. Albeit phylogenetically closely related, the primary infections caused by the different HHVs are diverse both in symptoms spectra and the interplay in a wider sense between virus and human host. HHV-1&2 (HSV-1&2) cause oral and genital herpes with typical lesions, HHV-3 (VZV) cause chickenpox and shingles, HHV-4 (EBV) cause infectious mononucleosis, HHV-6&7 are the causative agents for roseola. Congenital infections of HHV-2 and HHV-5 (CMV) poses a high risk for the developing fetus [1] Typical for infections by HHV are the lifelong carriership once infected together with episodes of reactivated infection [1]. Several HHVs are linked to cancer; carriership of EBV drastically increase the risk for lymphoma and for carcinoma in the nasopharynx region [2], and HHV-8 is strongly associated with Kaposi´s sarcoma [3]. In addition to the well-characterized symptoms associated with primary infections and reactivations, several HHVs have been attributed roles in the development of chronic neurological disorders, most prominently represented by HSV-1 for Alzheimer’s disease and EBV- for Multiple Sclerosis [4–7]. Several HHVs may also act in concert to alter the disease trajectory, especially CMV and HHV-6 have been suggested such adjuvant roles [4, 8, 9]. When studied from an epidemiological perspective, factors such as geographic location, socioeconomic status and age influence the rate of acquisition of HHV infection [1]. In addition, host factors such as comorbidities, coinfections and immunosuppression influence both acquisition, reactivation and severity of symptoms [10–12] As most herpesvirus infections never end up in medical records, the detection of anti-HHV Immunoglobulin G (IgG) is currently the gold standard when screening for a history of HHV infection. An individual might be carrier of anti-HHV IgG (positive) or not (negative) and the proportion of positive individuals in a population is denoted seroprevalence. Well-grounded estimates of seroprevalence are helpful not only when assessing impact from herpesvirus infections on present and future neurological disease burden, but also to motivate vaccine development, and to guide decision-making regarding screening programs and treatment recommendations for a population. Among the HHVs, HHV-3 (VZV), HHV-6 A&B, and HHV-7 exhibit a seroprevalence close to 100% [1]. For VZV does a proportion of seropositive cases stem from vaccination. We performed the present study to estimate the seroprevalence of HHV-1 (HSV-1), HHV-2 (HSV-2), HHV-4 (EBV) and HHV-5 (CMV) over several decades in healthy adults from northern Sweden.
Methods
With the aim to estimate time trends in seroprevalence of HHV-1 (HSV-1), HHV-2 (HSV-2), HHV-4 (EBV) and HHV-5 (CMV), serum from biobanks were analysed for presence of anti-HHV IgG with ELISA. By including participants of uniform age born between 1937 and 1988, seroprevalence in adults as a function of year of birth was monitored. Linear regression analyses were used to test for correlation.
Participants
Samples were retrieved from two separate biobanks; The Northern Sweden Maternity cohort and The Västerbotten Intervention Programme / Northern Sweden Health and Disease Study Cohort (VIP/NSHDS) cohort. The Northern Sweden Maternity cohort consists of serum samples collected in conjunction with screening for infectious agents among pregnant women in their first trimester. The biobank includes samples from four counties (Västernorrland, Jämtland, Västerbotten and Norrbotten) in northern Sweden from 1975 and onward. Approximately 2400 samples are added each year, and at the time of sample retrieval for this study the maternity biobank comprised of approximately 102,000 individuals [13]. The VIP/NSHDS cohort consists of samples from residents in Västerbotten County. People at the age of 40, 50 and 60 are since 1985 invited to contribute a plasma sample in connection with health surveys for risk factor screening performed by the healthcare region of Västerbotten, Sweden [14]. At the time of sample retrieval consisted the biobank of 110,663 individuals.
The samples that were used from the maternity cohort are dated from 1975 to 2018 and from VIP/NSHDS 1987 to 2017. The range of year-of birth thus spans between 1937 and 1988, allowing for representation from birth cohorts that have entered a geriatric stage in life, as well as representation from relatively young individuals. Previous studies have indicated that span to cover a significant shift in seroprevalence, at least for anti-HSV-1 IgG [15]. Both cohorts are administered by The Biobank Research Unit at Umeå University, and are- by agreement with the healthcare region- made accessible for such research that serves the public health of the population. Integrity of the cohorts regarding IgG analyses have been proven earlier [16, 17]. For each sampling year, 12 serum samples from 30 year old women from the maternity cohort and 6 plasma samples each from 50 year old men and 50 year old women from the VIP/NSHDSkohort were retrieved in a randomized manner,. From the first year of the maternity cohort (1975) were only four samples possible to retrieve. A total of 892 samples were included.
Serum and plasma analyses
Enzyme-Linked Immunosorbent Assay (ELISA) was used to detect anti-HSV-1 IgG, anti-HSV-2 IgG, anti-EBV IgG, and anti-CMV IgG.
ELISA assays deployed were, for anti-HSV-1 IgG and anti-HSV-2 IgG: HerpeselectⓇ-assays (Focus Diagnostics), for anti-EBV IgG: VCA IgG (VIROTECH Diagnostics), and for anti-CMV IgG: an in-house ELISA based on total tissue culture antigen, as previously described in [18]. Thresholds for a sample to be considered positive is for the HerpeSelectⓇ (anti-HSV-1 IgG, anti-HSV-2 IgG): 0.9X index value, for anti-EBV IgG more than 9.0 VE and for anti-CMV IgG more than 5U. Samples in the greyzone (n = 5–9) were considered positive, the rational being that this is biobank samples stored for a long time, and the chance is higher that some IgG is lost than the opposite have happened. The HerpeSelectⓇ-assays are claimed by the manufacturer to exhibit a sensitivity for HSV-1 / HSV-2 of 91/96% and a specificity of 92/97% (HerpeSelect® 1 ELISA IgG REF EL0910G Rev. K product package insert). Independent assessments have reported 70/92% sensitivity and 92/57% specificity [19], and 99/97% sensitivity, 77/89% specificity [20] when compared to western blot. The anti-EBV IgG assay has, in an early assessment, been reported to generate 2.7% false positives and 7.9% false negatives [21]. The performance of the in-house method was assured through external quality programs managed by Equalis (www.equalis.se/en/), UK Neqas (www.ukneqas.org.uk) and Lab-Quality (www.labquality.com). In addition, internal controls consisting of previously run sera were included in every test.
Statistics
The seroprevalence was calculated by dividing the number of positive samples by all samples for each cohort. A linear regression analysis was used to test for a correlation between birth year and seroprevalence for the three groups separately: 30 year old women, 50 year old women and 50 year old men. A multiple linear regression analysis was used to differentiate between other factors and included overall prevalence in relation to birth year, age and gender.
P < 0.05 was regarded as statistically significant. The IBM SPSS 25 software for Mac was used for statistical calculations.
Results
Three groups were studied separately: 30 years old women, 50 years old women and 50 years old men. Table 1 shows the background characteristics and seropositivity for each group.
Table 1.
Background characteristics
| Females age 30 y | Males age 50 y | Females age 50 y | |
|---|---|---|---|
| n | 520 | 186 | 186 |
| Birth years | 1945 – 1988 | 1937 – 1967 | 1937 – 1967 |
| Sampling years | 1975 – 2018 | 1987 – 2017 | 1987 – 2017 |
| Anti-HSV-1 IgG positive n (%) | 350 (67.3) | 141 (75.8) | 137 (73.7) |
| Anti-HSV-2 IgG positive n (%) | 77 (14.8) | 22 (11.8) | 35 (18.8) |
| Anti-EBV IgG positive n (%) | 507 (97.5) | 180 (96.8) | 185 (99.5) |
| Anti-CMV IgG positive n (%) | 382 (73.5) | 143 (76.9) | 153 (82.3) |
Abbreviations: n number, y years, HSV-1 Herpes simplex 1, IgG Immunoglobulin G, HSV-2 Herpes simplex 2, EBV Epstein-Barr virus, CMV Cytomegalovirus
The relationship between birth year and seroprevalence was investigated for each of the three groups (Table 2). Statistically significant correlations were found between birth year and decreasing prevalence of anti-HSV-1 IgG (p = 0.032) and anti-HSV-2 IgG (p = 0.028) among 30-year-old women, and for anti-CMV IgG among 50-year-old men (p = 0.011).
Table 2.
Herpes virus seroprevalence by birth year – linear regression analysis
| Female 30 y | Male 50 y | Female 50 y | ||
|---|---|---|---|---|
| Anti-HSV-1 IgG positive | Birth year beta | -0.004 | -0.003 | -0.007 |
| Birth year p-value | 0.032 | 0.413 | 0.053 | |
| Constant | 7.603 | 6.399 | 14.380 | |
| Anti-HSV-2 IgG positive | Birth year beta | -0.003 | -0.002 | 0.004 |
| Birth year p-value | 0.028 | 0.480 | 0.234 | |
| Constant | 5.537 | 3.791 | -7.289 | |
| Anti-EBV IgG positive | Birth year beta | -0.001 | -0.002 | -0.0003 |
| Birth year p-value | 0.115 | 0.166 | 0.578 | |
| Constant | 2.672 | 4.903 | 1.651 | |
| Anti-CMV IgG positive | Birth year beta | 0.002 | -0.009 | -0.004 |
| Birth year p-value | 0.195 | 0.011 | 0.240 | |
| Constant | -3.220 | 17.954 | 8.038 |
In a multiple linear regression analysis including overall seroprevalence in relation to birth year, age and female sex, birth year correlated negatively with the seroprevalence of anti-HSV-1 IgG (p = 0.004) and anti-EBV IgG (p = 0.033), while age correlated positively with anti-CMV IgG (p = 0.039) (Table 3).
Table 3.
Herpes virus seroprevalence by birth year, age and sex – multiple linear regression analysis
| Anti-HSV-1 IgG positive | Anti-HSV-2 IgG positive | Anti-EBV IgG positive | Anti-CMV IgG positive | |
|---|---|---|---|---|
| Birth year beta (p-value) | -0.004 (0.004) | -0.002 (0.103) | -0.001 (0.033) | -0.0002 (0.875) |
| Age beta (p-value) | 0.0003 (0.898) | 0.001 (0.679) | 0.0003 (0.695) | 0.004 (0.039) |
| Female sex beta (p-value) | -0.022 (0.648) | 0.070 (0.059) | 0.027 (0.080) | 0.054 (0.225) |
In the Female age 50 y group, there was a positive correlation between being anti-HSV-1 IgG positive and anti-CMV IgG positive (0.233, p = 0.001) and a negative correlation between being anti-HSV-1 IgG positive and anti-HSV-2 IgG positive (-0.149, p = 0.042). No other correlations were seen between antibody presence in any group.
Discussion
Seroprevalence trends of anti-HSV-1 IgG, anti-HSV-2 IgG, anti-EBV IgG and anti-CMV IgG were studied in a population of 30-year-old pregnant women and 50-year-old men and women from northern Sweden. Although the vast majority of seroconversions for the studied HHVs take place in childhood and early adolescence, some increase in seroprevalence, as a consequence of de novo infection of adults, is predicted as a population is ageing [15]. Correct prediction of seroconversion rates requires longitudinal samples, a research asset not commonly available. In a multivariate regression analysis, we could confirm a significant increase of anti-CMV IgG seropositivity as a function of age, likely due to seroconversion in adult years. This is in line with previous reports [15, 22, 23].
For groups combined, later birth year correlated with lower seroprevalence for anti-HSV-1 IgG and anti-EBV IgG. For groups studied separately, later birth year correlated with lower seroprevalence for anti-HSV-1 IgG and anti-HSV-2 IgG among 30-year-old women, and with lower seroprevalence for anti-CMV IgG among 50-year-old men. The observed decrease in anti-HSV-1 IgG seropositivity for 30-year-old women is dramatic, from around 88% among women born in 1945–1948 to 69% among women born 1985–1988. This is in line with figures reported by other studies from Sweden [15], Finland [24], England [25] and the United States [26]. The diagram depicting a moving average over 10 years (Fig. 1a) suggests that the main part of the drop in anti-HSV-1 IgG seropositivity occurred between birth years 1950 and 1960, a time when the studied population proportionally changed from a rural to a more urban lifestyle. Interestingly, after that shift, the trend does not seem to continue. Speculatively, in the 1970s, daycare service and pre-schools with large groups of children were implemented on a large scale, a milieu notorious for transmission of infectious agents. The moving average curve for anti-HSV-2 IgG suggests a peak in seroprevalence for birth year around 1960, followed by a significant decrease (Fig. 1b). Other cohorts exhibit a similar major difference between birth givers born around 1960 and those born a few years later [27]. The decline for anti-HSV-2 IgG follows a trend shared by several sexually transmitted diseases (STDs) [28]. This effect have been attributed changes in sexual behavior, not to the least necessitated by the HIV pandemic [28]. The overall declining trend is in line with results from other studies [24, 26, 29]. The introduction of acyclovir as a suppressive treatment option for HSV infections in the mid-1980s is presumed to have reduced the rate of reactivation and changed the pattern of spread [30], as have the fact that HSV-1, instead of HSV-2, by now is the primary cause of genital HSV infections at least in some populations [31]. Public health implications of the decrease in seroprevalence include that a larger proportion of women enter pregnancy seronegative, and thus run a risk of contracting the infection and transferring it to the fetus.
Fig. 1.

Seroprevalence of anti-HHV IgG among subjects born between 1937 and 1988. a represents anti-HSV-1 IgG, b represents anti-HSV-2 IgG, c represents anti-EBV IgG, d represents anti-CMV IgG. Subjects are divided into females aged 30 years (blue), females aged 50 years (yellow), and males aged 50 years (green). Thick lines represent the moving average over 10 years
EBV is a very common infection in our population, where over 96% were seropositive in this study. The declining trend in relation to birth year is statistically significant, but so small that implications for populational health are questionable (Fig. 1c). In a study from Finland, no declining trend in seroprevalence of EBV could be detected [24].
Comparing the moving average curves for anti-CMV IgG (Fig. 1d) and anti-HSV-1 IgG (Fig. 1a) gives an illustration of the similarities in spread between the two agents, which is further supported by the correlation between having these two agents among 50-year-old females. Interestingly, both anti-HSV-1 IgG and anti-CMV IgG seem to have their minimum around birth year 1970–1980. Further studies should investigate if the trend of increasing seroprevalence in later birth years is statistically significant.
Strengths and weaknesses of the study
The limited information on each sample does not permit for detailed suggestions of underlying causes and correlations of the reported trends such as comorbidities, rates of reactivations, disease outcomes and other clinical data.. Also, the small number of samples from each year make yearly prevalence estimates as well as trends for sub-timespans uncertain. Therefore, to equalize random year-to-year variation we also present the 10-year moving average. A weakness of the study is that data for females originates from two separate cohorts, while data for males originates from one single cohort. This must be considered when comparisons are made. In addition, the 30-year old women are all pregnant, a fact that probably skews the selection, Strengths of the study include the employment of population-based biobanks [13], that allows for estimation of 50-year long time trends in age- and gender specific anti-HHV IgG prevalence among persons born between 1937 and 1988. The population-based biobanks represent an unselected sample of the underlying general population, with minimal risk of further selection bias apart from the above mentioned. This makes it likely that the observed trends do reflect the actual population prevalence of these viruses.
Conclusion
The seroprevalence of anti-HSV-1 IgG, anti-HSV-2 IgG and anti-EBV IgG decreases in later birth cohorts. This indicates an overall trend of declining risk of getting infected as a child and adolescent. Healthcare implications include a higher proportion of the population being susceptible to primary infection at adult age.
Acknowledgements
The authors wish to acknowledge Per Juto, MD, PhD, for his work to establish the CMV IgG method used in this and many other studies as well as in clinical diagnostics. The authors wish to acknowledge Göran Wadell, MD, PhD for his work to oversee the maternity cohort for several decades and to pioneer the work to make the cohort accessible for research.
Abbreviations
- HHV
Human herpesvirus
- IgG
Immunoglobulin G
- HSV
Herpes simplex virus
- EBV
Epstein-Barr virus
- CMV
Cytomegalovirus
- ELISA
Enzyme Linked Immunosorbent Assay
- VZV
Varicella zoster virus
- STD
Sexually transmitted disease
Authors’ contributions
JO, SN, and EH performed the serological analyses. AJ and GH assembled the study cohorts.BW and HL performed data analysis and interpretation. HL and FE conceptualized the study. SN and JO drafted the manuscript. All authors have contributed to and approved the final version of the manuscript.
Funding
Open access funding provided by Umea University. This study was supported financially by grants from Region Västerbotten, Wallenberg Centre for Molecular Medicine (WCMM) at Umeå University, the Swedish Dementia Association, the Swedish Alzheimer Fund and the Umeå University Foundation for Medical Research. The funding bodies had no role in the design of the study, in the collection, analysis, and interpretation of data, nor in writing the manuscript.
Availability of data and materials
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics approval and consent to participate
The study is approved by a regional ethical board (Dnr 2017/384–31). The research subjects have provided informed consent for the serum- and plasma samples to be used for research purposes at the time of the sampling.
Consent for publication
All participants who have provided consent for their serum/plasma to be used in research have also given consent for publication of research based on stored serum/plasma.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Arvin, A., et al., Human Herpesviruses Biology, Therapy, and Immunoprophylaxis. 2007, Cambridge University Press,: Cambridge. p. 1 online resource (1408 p.). [PubMed]
- 2.Khan G, Hashim MJ. Global burden of deaths from Epstein-Barr virus attributable malignancies 1990–2010. Infect Agent Cancer. 2014;9(1):38. doi: 10.1186/1750-9378-9-38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mesri EA, Cesarman E, Boshoff C. Kaposi's sarcoma and its associated herpesvirus. Nat Rev Cancer. 2010;10(10):707–719. doi: 10.1038/nrc2888. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Olsson T, Barcellos LF, Alfredsson L. Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis. Nat Rev Neurol. 2017;13(1):25–36. doi: 10.1038/nrneurol.2016.187. [DOI] [PubMed] [Google Scholar]
- 5.Lovheim H, et al. Reactivated herpes simplex infection increases the risk of Alzheimer's disease. Alzheimers Dement. 2015;11(6):593–599. doi: 10.1016/j.jalz.2014.04.522. [DOI] [PubMed] [Google Scholar]
- 6.Lovheim H, et al. Herpes Simplex Virus, APOEvarepsilon4, and Cognitive Decline in Old Age: Results from the Betula Cohort Study. J Alzheimers Dis. 2019;67(1):211–220. doi: 10.3233/JAD-171162. [DOI] [PubMed] [Google Scholar]
- 7.Lopatko Lindman K, et al. A genetic signature including apolipoprotein Eε4 potentiates the risk of herpes simplex–associated Alzheimer's disease. Alzheimer's & Dementia: Translational Research & Clinical Interventions. 2019;5:697–704. doi: 10.1016/j.trci.2019.09.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lovheim H, et al. Interaction between Cytomegalovirus and Herpes Simplex Virus Type 1 Associated with the Risk of Alzheimer's Disease Development. J Alzheimers Dis. 2018;61(3):939–945. doi: 10.3233/JAD-161305. [DOI] [PubMed] [Google Scholar]
- 9.Bistrom M, et al. Epstein-Barr virus infection after adolescence and human herpesvirus 6A as risk factors for multiple sclerosis. Eur J Neurol. 2021;28(2):579–586. doi: 10.1111/ene.14597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Asha K, Sharma-Walia N. Targeting Host Cellular Factors as a Strategy of Therapeutic Intervention for Herpesvirus Infections. Front Cell Infect Microbiol. 2021;11:603309. doi: 10.3389/fcimb.2021.603309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Busnadiego I, et al. Critically ill COVID-19 patients with neutralizing autoantibodies against type I interferons have increased risk of herpesvirus disease. PLoS Biol. 2022;20(7):e3001709. doi: 10.1371/journal.pbio.3001709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Henze L, et al. Management of herpesvirus reactivations in patients with solid tumours and hematologic malignancies: update of the Guidelines of the Infectious Diseases Working Party (AGIHO) of the German Society for Hematology and Medical Oncology (DGHO) on herpes simplex virus type 1, herpes simplex virus type 2, and varicella zoster virus. Ann Hematol. 2022;101(3):491–511. doi: 10.1007/s00277-021-04746-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Pukkala E, et al. Nordic biological specimen banks as basis for studies of cancer causes and control–more than 2 million sample donors, 25 million person years and 100,000 prospective cancers. Acta Oncol. 2007;46(3):286–307. doi: 10.1080/02841860701203545. [DOI] [PubMed] [Google Scholar]
- 14.Hallmans G, et al. Cardiovascular disease and diabetes in the Northern Sweden Health and Disease Study Cohort - evaluation of risk factors and their interactions. Scand J Public Health Suppl. 2003;61:18–24. doi: 10.1080/14034950310001432. [DOI] [PubMed] [Google Scholar]
- 15.Olsson J, et al. Herpes virus seroepidemiology in the adult Swedish population. Immun Ageing. 2017;14:10. doi: 10.1186/s12979-017-0093-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Esberg A, et al. 43-Year Temporal Trends in Immune Response to Oral Bacteria in a Swedish Population. Pathogens. 2020;9(7):544. [DOI] [PMC free article] [PubMed]
- 17.Lovheim H, et al. Herpes simplex infection and the risk of Alzheimer's disease: A nested case-control study. Alzheimers Dement. 2015;11(6):587–592. doi: 10.1016/j.jalz.2014.07.157. [DOI] [PubMed] [Google Scholar]
- 18.Sjostrom S, et al. Human immunoglobulin G levels of viruses and associated glioma risk. Cancer Causes Control. 2011;22(9):1259–1266. doi: 10.1007/s10552-011-9799-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Agyemang E, et al. Performance of Commercial Enzyme-Linked Immunoassays for Diagnosis of Herpes Simplex Virus-1 and Herpes Simplex Virus-2 Infection in a Clinical Setting. Sex Transm Dis. 2017;44(12):763–767. doi: 10.1097/OLQ.0000000000000689. [DOI] [PubMed] [Google Scholar]
- 20.Ashley-Morrow R, et al. Performance of focus ELISA tests for herpes simplex virus type 1 (HSV-1) and HSV-2 antibodies among women in ten diverse geographical locations. Clin Microbiol Infect. 2004;10(6):530–536. doi: 10.1111/j.1469-0691.2004.00836.x. [DOI] [PubMed] [Google Scholar]
- 21.Gartner BC, et al. Evaluation of four commercially available Epstein-Barr virus enzyme immunoassays with an immunofluorescence assay as the reference method. Clin Diagn Lab Immunol. 2003;10(1):78–82. doi: 10.1128/CDLI.10.1.78-82.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hecker M, et al. Continuous cytomegalovirus seroconversion in a large group of healthy blood donors. Vox Sang. 2004;86(1):41–44. doi: 10.1111/j.0042-9007.2004.00388.x. [DOI] [PubMed] [Google Scholar]
- 23.Lachmann R, et al. Cytomegalovirus (CMV) seroprevalence in the adult population of Germany. PLoS ONE. 2018;13(7):e0200267. doi: 10.1371/journal.pone.0200267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Puhakka L, et al. Decrease in seroprevalence for herpesviruses among pregnant women in Finland: cross-sectional study of three time points 1992, 2002 and 2012. Infect Dis (Lond) 2016;48(5):406–410. doi: 10.3109/23744235.2015.1123290. [DOI] [PubMed] [Google Scholar]
- 25.Forbes H, et al. Risk factors for herpes simplex virus type-1 infection and reactivation: Cross-sectional studies among EPIC-Norfolk participants. PLoS ONE. 2019;14(5):e0215553. doi: 10.1371/journal.pone.0215553. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Xu F, et al. Trends in herpes simplex virus type 1 and type 2 seroprevalence in the United States. JAMA. 2006;296(8):964–973. doi: 10.1001/jama.296.8.964. [DOI] [PubMed] [Google Scholar]
- 27.Lowhagen GB, et al. Epidemiology of genital herpes infections in Sweden. Acta Derm Venereol. 1990;70(4):330–334. doi: 10.2340/0001555570330334. [DOI] [PubMed] [Google Scholar]
- 28.Edgardh K. Adolescent sexual health in Sweden. Sex Transm Infect. 2002;78(5):352–356. doi: 10.1136/sti.78.5.352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Berntsson M, et al. Decreasing prevalence of herpes simplex virus-2 antibodies in selected groups of women in Sweden. Acta Derm Venereol. 2009;89(6):623–626. doi: 10.2340/00015555-0699. [DOI] [PubMed] [Google Scholar]
- 30.Lopatko Lindman K, et al. Long-term time trends in reactivated herpes simplex infections and treatment in Sweden. BMC Infect Dis. 2022;22(1):547. doi: 10.1186/s12879-022-07525-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Johnston C, et al. Viral Shedding 1 Year Following First-Episode Genital HSV-1 Infection. JAMA. 2022;328(17):1730–1739. doi: 10.1001/jama.2022.19061. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
