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Screening of more than 2000 Hungarian healthcare workers’ anti-measles antibody level: results and possible population-level consequences

Published online by Cambridge University Press:  11 September 2018

G. Lengyel*
Affiliation:
Hungarian Defence Forces, Military Medical Centre, H-1134 Budapest, Robert Károly krt 44, Hungary
A. Marossy
Affiliation:
Hungarian Defence Forces, Military Medical Centre, H-1134 Budapest, Robert Károly krt 44, Hungary
N. Ánosi
Affiliation:
Hungarian Defence Forces, Military Medical Centre, H-1134 Budapest, Robert Károly krt 44, Hungary
S. L. Farkas
Affiliation:
University of Veterinary Medicine Budapest, H-1078 Budapest, István str. 2, Hungary Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungarian Academy of Sciences, 1143 Budapest, Hungaria krt. 21, Hungary
B. Kele
Affiliation:
UK NEQAS for Microbiology, 61 Colindale Avenue, London, NW9 5EQ, UK
É. Nemes-Nikodém
Affiliation:
Hungarian Defence Forces, Military Medical Centre, H-1134 Budapest, Robert Károly krt 44, Hungary
V. Szentgyörgyi
Affiliation:
Hungarian Defence Forces, Military Medical Centre, H-1134 Budapest, Robert Károly krt 44, Hungary
I. Kopcsó
Affiliation:
Hungarian Defence Forces, Military Medical Centre, H-1134 Budapest, Robert Károly krt 44, Hungary
M. Mátyus
Affiliation:
Hungarian Defence Forces, Military Medical Centre, H-1134 Budapest, Robert Károly krt 44, Hungary
*
Author for correspondence: György Lengyel, E-mail: [email protected]
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Abstract

Due to the European measles epidemic and the increased number of imported cases, it can be theorised that the risk of exposure among Hungarian healthcare workers (HCWs) has increased. In 2017, the increased measles circulation in the region led to the emergence of smaller local and hospital epidemics. Therefore, our objective was to determine the herd immunity in the high-risk group of HCWs. A hospital-based study of detecting anti-measles IgG activity was performed in 2017 and included 2167 employees of the Military Medical Centre (Hungary). The screening of HCWs presented a good general seropositivity (90.6%). The highest seroprevalence value (99.1%) was found in the age group of 60 years or older. The lowest number of seropositive individuals was seen in the 41–45 years (86.2%) age group, indicating a significant herd immunity gap between groups. Regarding the Hungarian data, there might be gaps in the seroprevalence of the analysed HCWs, implying that susceptible HCWs may generate healthcare-associated infections. This study suggests that despite the extensive vaccination and high vaccine coverage, it is still important to monitor the level of protective antibodies in HCWs, or in a representative group of the whole population of Hungary, and possibly in other countries as well.

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2018

Introduction

Despite the long-term and wide range measles eradication programme, there is still an ongoing epidemic in Europe. Along with the increased number of cases, the number of hospitalised patients with complications has risen as well [Reference Filia1], which has led to healthcare-associated transmission of measles, primarily driven by healthcare workers (HCWs) [Reference Filia1Reference Amendola4]. Since several susceptible HCWs have been infected despite of the proper protective measures (hand sanitation, surgical masks, protective gloves), introduction of vaccination among these employees has become the only effective way of preventing healthcare-associated spread [Reference Filia2Reference Zhao5].

Measles virus infection causes life-long protective immunity, and vaccination with two doses of measles, mumps and rubella vaccine (MMR) should give sufficient protection as well [Reference Griffin6]. To reach and maintain herd immunity, the recommended vaccine coverage for the entire population needs to be approximately 95% or above [Reference Guerra7]. Measles is an extremely contagious airborne virus with an estimated basic reproduction number (R 0) of 12–18 [Reference Guerra7]. This determines the herd immunity threshold, and therefore the vaccination coverage required to achieve elimination [Reference Orosz8]. The critical immunisation threshold (q c) is between 95% based on the following formula: q c = 1–1/R 0 [Reference Guerra7, Reference Holzmann9].

Since 2016, the number of confirmed measles cases in Europe has been increasing, which is in correlation with the lower vaccine coverage [Reference Orosz8, Reference Kmietowicz10, Reference Coombes11]. In 2017, three minor measles outbreaks have been detected in Hungary, in which HCWs had been involved.

The first occurrences of measles were detected on 29 January 2017 and lasted until 10 March 2017 in Makó and Szeged. Among them, 54 cases were with measles-specific clinical symptoms [12]. Fifteen cases were confirmed (among them 13 HCWs) and the remaining 39 cases could be excluded according to laboratory analyses. Based on the sequencing of the viral RNA genome, five cases revealed genotype B3 (National Reference Laboratory for Measles and Rubella, National Public Health Institute, Budapest, Hungary), which were identical to the Romanian and Italian genotypes according to the data available of the MeaNS. The second group of imported cases were detected at the end of July 2017 in Nyíregyháza, Szabolcs-Szatmár-Bereg County, Hungary. Six unvaccinated Romanian children were admitted to hospital due to clinical signs of measles. These cases were also confirmed by the National Reference Laboratory for Measles and Rubella [13]. The disease could spread among the susceptible Hungarian population, as the measles virus infection of two HCWs was also confirmed [13].

Hungary participates in the measles eradication programme of the World Health Organization (WHO) since its development [Reference Orosz8]. Vaccination against measles was introduced in Hungary in 1969 (containing formalin-inactivated virus particles) [Reference Rigó14], and later, in 1984, a monovalent live measles vaccine was issued [Reference Rigó14]. With the combined MMR vaccine introduced in 1991 [Reference Rigó14, Reference Andrews15], the estimated vaccine coverage for the first-dose MMR vaccine in the period of 1997–2001 was close to 100% [Reference Andrews15]. According to a recent report published by the European Centre for Disease Prevention and Control (ECDC), the vaccination coverage rate in several European countries, including Austria, Poland, UK, Czech Republic, Germany and Croatia, does not reach 95%, while in other countries, such as France, Italy and Romania, it is below 85% [16]. The majority of measles cases and the most severe outcomes were reported in the latter three countries [16]. Several European countries have reported the involvement of HCWs in the recent 2017 outbreak. In Italy, 315 cases among HCWs were reported, 67 in Greece, 35 in Belgium and 20 in the Czech Republic [16]. In Makó, Hungary there were 17 laboratory-confirmed measles cases, with 13 being diagnosed in HCWs [Reference Orosz8, Reference Bosnyákovits17].

Compared with the average population, HCWs are exposed to a greater risk of infection [Reference Tafuri18], and they can play a significant role in transmitting the disease [19].

To resolve the contradiction between the high vaccination coverage and recently experienced minor outbreaks due to higher exposition of HCWs, this study aimed to measure the protection status of more than 2000 HCWs working in the frontline of the Hungarian healthcare system.

Methods

Ethical statement

The study proposal was reviewed and approved by the Institutional Ethical Board at Military Medical Centre, Budapest, Hungary in 2017. Written informed consent was obtained from the participants before blood sampling.

Study population, measles history and estimated vaccine coverage

A screening in the Military Medical Centre, Budapest, Hungary was conducted in 2017. All HCWs of the institute, born before 1990 have been involved in the study. By the term ‘high-risk HCWs’ we mean doctors and nurses working in intensive care units, emergency departments and infectious diseases wards. Along with doctors and nurses, administrative and technical staff of these wards were screened as well.

During our study, a questionnaire survey was also conducted. Measles vaccination data were obtained by routine administrative assessment. More than 90% of participants did not know or was not sure about previous measles infection or vaccination history. Therefore, in the absence of proper documentation, these data were disregarded.

Our study included 2167 participants, employees of the Military Medical Centre (Hungary): among them 343 (15.8%) HCWs who worked at high-risk departments, 1186 (54.7%) at non-high-risk departments and 638 (29.4%) administrative and technical workers (mechanics, cafeteria, cleaning and laundry staff). Among them 368 medical doctors (16.9%) and 1161 nurses (53.5%) participated in this study. The mean age of HCWs was 47.1 years. Among the participants, 1736 were female (80.1%) and 431 were male (19.9%). Detailed parameters of participants are shown in Tables 1 and 2.

Table 1. Characteristics of the HCW population (N = 2167)

Table 2. Measles seroprevalence in HCWs by distribution of departments and occupations

Data presented as number (percentage) of HCWs in different groups.

a χ 2 test, hospital departments, χ 2 = 3.313, P = 0.5069.

b Δχ 2 test, occupation, χ 2 = 3.439, P = 0.1791.

Sample collection

A hospital-based study to detect anti-measles IgG activity was performed from February to May 2017. Collected blood samples were centrifuged and the sera were stored at −20 °C. The sera were tested after onefold thawing in all cases.

Detection of measles-specific IgG antibodies

IgG antibody titre to measles virus was determined by a quantitative ELISA method (Serion ELISA classic Measles IgG, Institute Virion/Serion GmbH, Germany). The tests were performed using the EVOLIS Microplate System (Bio-Rad Laboratories, Inc., Hercules, CA, USA) according to the manufacturer's instruction. The Conformité Européene (European Conformity)/In Vitro Diagnostics (CE/IVD) validated kit permits detection of antibody activity in milli-international units per millilitres (mIU/ml), therefore comparison of results obtained in different laboratories was possible. The lower and upper limits of quantitation was declared as 50 and 5000 mIU/ml, respectively, from the manufacturer's kit insert. Results were declared Measles IgG-positive when the IgG level was above 200 mIU/ml, negative at <150 mIU/ml and equivocal between 150 and 200 mIU/ml. This diagnostic kit was validated using the second and third International Standard (IS) Sera of the WHO [20, Reference Tischer21].

Statistics

The differences in seroepidemiological data among the item numbers of the groups were analysed with a χ 2 test for independence. Calculating the χ 2, a Yate's continuity correction was applied. Fisher's exact test was also performed. The calculations were done using GraphPadInStat V2 (GraphPad Software, V2.05a, USA). We applied the commonly used significance level, P < 0.05.

In the second part of our mathematical investigation, a factual amount of serum anti-measles IgG level was analysed. Kolmogorov–Smirnov and Shapiro–Wilk tests for normality were performed using STATISTICA Release 6.0 (StatSoft Inc., USA). In each age group, the probability distribution proved to be skew, not corresponding to the normal distribution. Because of failing normality criterion, a Kruskal–Wallis analysis of variance (ANOVA) on ranks with Dunn's post hoc multiple comparisons were used and performed with SigmaStat 3.0 (SPSS Inc., USA). The significance level of P < 0.05 has been applied, calculating with two-sided probabilities.

Results and discussion

Previously, the immunity level of the institute's HCWs against morbilli virus was only estimated based on the average national vaccination coverage. Despite the fact that more than 99.5% of the population has been vaccinated receiving two doses of MMR within the confines of the national vaccination programme in Hungary, small outbreaks have occurred in the last year, primarily due to the importation of the virus from other countries in the last year [Reference Orosz8]. Such outbreaks have not only affected unvaccinated people, but they also occurred in Hungarian HCWs in Makó, between those who had been previously vaccinated against measles [Reference Orosz8]. Therefore, we aimed to investigate the level of anti-measles IgG antibodies in HCWs in our institute to estimate the herd immunity and the risk of infection in this group.

The screening of 2167 HCWs presented a good general seropositivity in the population (90.6%). We sorted seroprevalence data according to eight age groups as follows: below 30, from 30 to 35, 36 to 40, 41 to 45, 46 to 50, 51 to 55, 56 to 60 and above 60 years, and the mean values obtained in these groups were 92.5%, 93.1%, 90.2%, 86.2%, 94.1%, 96.8%, 97.8% and 99.1%, respectively (seroprevalence data according to age and gender distribution are represented in Fig. 1).

Fig. 1. Measles seroprevalence in HCWs by gender and age groups in Military Medical Centre, Budapest, Hungary, 2017. There is a decrease in age group 36–45 in both genders which is considered significant, χ 2 = 17 277; P = 0.0002 in men and χ 2 = 45 748; P < 0.0001 in women. The horizontal line shows the herd immunity at 95%. In Hungary, the history of measles vaccination is the following: in 1969–1974 (44–49 years old) campaign vaccination in 9–23 months infants, with monovalent vaccine (Leningrad 16 strain); in 1974–1977 (41–44 years old) continuous vaccination of 10-month-old infants with monovalent vaccine (Leningrad 16 strain); 1978–1989 (29–40 years old) continuous vaccination of 14-month-old infants; 1989–1991 (27–29 years old) continuous vaccination of 14-month-old infants with monovalent vaccine (Rimevax) and revaccination at the age of 11 (Rimevax); 1991–1998 (20–29 years old) continuous vaccination of 15-month-old infants with trivalent vaccine (Pluserix) and revaccination at the age of 11 with monovalent vaccine (Rimevax).

Seroprevalence data were different in the age groups, higher values above 95% (which is the critical immunisation threshold, q c) were observed in age groups of 51–55, 56–60 and above 60 years. Lower values were obtained in age groups of 41–45 (86.2%) and 36–40 years (90.2%). The lowest number of seropositive individuals, seen in the 36–40 and 41–45 years age groups, indicate a significant herd immunity gap in these two groups (Fig. 1). Consequentially, about 20% of HCWs between 41 and 45 years of age proved to be susceptible to the disease. This phenomenon has also been observed in other countries, with a similar vaccination strategy and results [Reference Kang22Reference Atrasheuskaya29]. We could not find significant difference regarding seroprevalence between men and women. A Fisher's exact test result of P = 0.6963 was observed in people >40 years old and was non-significant. Regarding people between 40 and 45 and above 40 years, the same test results P = 0.8482 and P = 0.6963 in this order (both non-significant) were observed. Comparison of data of employees with higher and lower qualifications and different departments (high-risk, non-high-risk, administrative and technical staff) revealed that there was no significant difference (χ 2 = 2.594; P = 0.2733). By using a different statistical method for the same comparison, a non-significant result was found (Fisher's exact test P = 0.0863). Regarding the average anti-measles IgG levels of HCWs older than 50 years, they had more than twice as much antibodies as people younger than 46 (Kruskall–Wallis H = 441.693; P ⩽ 0.001; Fig. 2); this age group probably represents the naturally infected people.

Fig. 2. Measles total IgG levels, calculated in mIU/ml, using quantitative ELISA assay, are represented for each age group, with the mean value and the standard error. The upper long square braces represent the significant result of Kruskall–Wallis ANOVA with H = 441 693 and P ⩽ 0001. The origin of this significance is represented with the shorter square braces below, showing the simplified results of Dunn's post hoc multiple comparisons.

Due to the progressing European measles epidemic, the number of imported cases has increased, and raised the risk of exposure to HCWs [Reference Orosz8, Reference Kmietowicz10, Reference Coombes11]. The risk is predominantly in the emergency department, infectious diseases ward and intensive care unit, where HCWs are in close contact with potentially infectious patients. In most cases, patients with measles infection visit hospitals before the onset of rash, when the virus is highly contagious [Reference Orosz8] and in the absence of characteristic symptoms, measles infection is rarely suspected at this point [Reference Weston30]. Based on our data, no significant difference could be observed in seroprevalence, regarding people working at high-risk departments or other areas, most probably due to mandatory vaccination in Hungary.

Infection of susceptible HCWs can induce healthcare-associated transmission of measles cases, and this way they can further spread the infection in hospitals [Reference Orosz8, Reference Weston30]. HCWs can serve as reservoirs of several pathogens [Reference Sydnor and Perl31]. Additional factors that might contribute to healthcare-associated infections are vaccination of HCWs, the workers’ and patients’ access to disinfection, and HCWs staying at work when ill [Reference Huttunen and Syrjänen32]. According to a study, the HCWs’ adherence to hygiene guidelines is not appropriate [Reference Pittet33]. Measles virus is capable of staying infective for a long period of time in aerosol suspension, making the transmission more facile [Reference Remington34, Reference Bloch35]. Moreover, healthcare-associated measles infections are more severe, and lead to complications more often in already immunocompromised patients [Reference Foulon36]. Because of the considerable scale of contagiosity, the main driving force of measles outbreaks depends on the number of susceptible workers [Reference Guerra7]. Therefore, the main solution to prevent major outbreaks is to keep the number of unprotected persons as low as possible, by keeping track of the vaccination and previous measles infection of HCWs. If decent documentation is not available, HCWs should take a booster MMR vaccination.

In Hungary, measles epidemics occurred during 1973–1974, 1980–1981, 1988–1989 and 2016–2017 years, respectively [Reference Agócs37]. Since vaccination started in 1969, gaps in the immunity of the population can be explained by primary and secondary vaccine failure, which can occur due to vaccine- or host-related causes. Development of the adequate immune response may be hampered by several factors, such as the presence of maternal antibodies at the first vaccination in children, immunosenescence, low nutrition, obesity, allergy etc. [Reference Wiedermann, Garner-Spitzer and Wagner38].

The quality of the vaccine might have been deteriorated during production, transport and handling in the early years of history of measles vaccination. Vaccination with only one dose might be insufficient because of the above-mentioned factors; therefore, immunisation with two doses of MMR was introduced, in order to avoid epidemics. Monitoring measles IgG antibody titre of HCWs is necessary to evaluate the possible need for booster vaccination, because the vaccine-induced measles IgG antibody titre is naturally decreasing with an approximately 5.6% per year rate even after the second dose of MMR [Reference Mossong, O'Callaghan and Ratnam39].

Our results indicate a high level of total measles IgG activity as a result of the vaccination against measles. Since the strict and mandatory vaccination programme, Hungarian population has more than 99% vaccine coverage after the first dose. Sporadic small outbreaks over the last years have occurred solely due to imported virus [Reference Orosz8, Reference Rigó14].

The vaccination of these HCWs occurred decades ago; therefore, we do not know the exact circumstances of the immunisation of these workers. The gap in herd immunity might be caused by improper handling of the vaccine application of smaller doses due to the high reactivity of the vaccine, or the immunisation of infants younger than 10–12 months (maternal antibodies could interfere with the immunisation process) [Reference Smetana40].

Conclusion

This study demonstrates that despite the extensive vaccination and proposed high vaccine coverage, it is important to monitor the level of protective antibodies in a larger part of HCWs or in a representative group of the whole population in Hungary, and possibly in other countries as well. Regarding the Hungarian data, there might be gaps in the seroprevalence of the examined HCWs. The gaps in herd immunity of HCWs may lead to healthcare-associated epidemics; therefore, in the absence of well-documented vaccination data, we recommend all HCWs to be (re-)vaccinated with MMR to ensure their proper protection. Extremely high titres were found in people who were born before the vaccination era (before 1969), suggesting natural infection-induced life-long immunity. The mainstay of our conclusions was based on the relatively high number of screened HCWs compared with similar studies.

In a large, regional medical centre, like ours, all proper protective measures should be taken to avoid any disturbance in the continuous patient care caused by an easily preventable disease.

Financial support

None reported.

Author contributions

The manuscript contains data that have not previously been published or submitted elsewhere; it has not been submitted for publication elsewhere and all authors have seen and approved the final version of the manuscript and all have made substantive contributions to the work.

Conflict of interest

None.

Footnotes

*

G. Lengyel and A. Marossy share the position of the first author.

References

1.Filia, A et al. (2017) Ongoing outbreak with well over 4,000 measles cases in Italy from January to end August 2017 – what is making elimination so difficult? Euro Surveillance 22, 26.Google Scholar
2.Filia, A et al. (2015) Extensive nosocomial transmission of measles originating in cruise ship passenger, Sardinia, Italy, 2014. Emerging Infectious Diseases 21, 14441446.Google Scholar
3.Porretta, A et al. (2017) A nosocomial measles outbreak in Italy, February-April 2017. Euro Surveillance 22, 1215.Google Scholar
4.Amendola, A et al. (2017) Ongoing large measles outbreak with nosocomial transmission in Milan, northern Italy, march-august 2017. Euro Surveillance 22, 811.Google Scholar
5.Zhao, Z et al. (2018) Measles outbreak prevention and control among adults: lessons from an importation outbreak in Yunnan province, China, 2015. Human Vaccines & Immunotherapeutics 14, 881886.Google Scholar
6.Griffin, DE (2013) Measles Virus. Fields Virology, 7th edn., Philadelphia, PA, USA: Lippincott, Williams & Wilkins, pp. 10421069.Google Scholar
7.Guerra, FM et al. (2017) The basic reproduction number (R0) of measles: a systematic review. The Lancet. Infectious Diseases 17, e420e428.Google Scholar
8.Orosz, L et al. (2018) Epidemiological situation of measles in Romania, Italy, and Hungary: on what threats should we focus nowadays? Acta Microbiologica Et Immunologica Hungarica 65, 127134.Google Scholar
9.Holzmann, H et al. (2016) Eradication of measles: remaining challenges. Medical Microbiology and Immunology 205, 201208.Google Scholar
10.Kmietowicz, Z (2018) ‘Tragedy’ of 35 deaths from measles in Europe last year is unacceptable, says WHO. British Medical Journal 360, k795.Google Scholar
11.Coombes, R (2017) Europe steps up action against vaccine hesitancy as measles outbreaks continue. British Medical Journal 359, j4803.Google Scholar
12.European Centre for Disease Prevention and Control (2017). Epidemiological Update: Measles-Monitoring European Outbreaks. Solna, Sweden: ECDC. Available at https://ecdc.europa.eu/en/news-events/epidemiological-update-measles-monitoring-european-outbreaks-7-july-2017.Google Scholar
13.Emberi Erőforrások Minisztériuma [Ministry of Human Capacities]: Kórházhigiénés és Járványügyi Felügyeleti Főosztály. Heti tájékoztató a hazai járványügyi helyzetről 2017. 31. hét [Deputy State Secretariat for Chief Medical Officer's Affairs of the Ministry of Human Capacities of Hungary: Weekly information on the epidemiological situation, 31st week, 2017]. Available at https://www.antsz.hu/data/cms83263/2017_31_heti.pdf. 2017.Google Scholar
14.Rigó, Z et al. (2012) Are we protected? Imported measles – on the way to eradication. Acta Microbiologica Et Immunologica Hungarica 59, 119129.Google Scholar
15.Andrews, N et al. (2008) Towards elimination: measles susceptibility in Australia and 17 European countries. Bulletin of the World Health Organization 86, 197204.Google Scholar
16.ECDC (2018) European Centre for Disease Prevention and Control. Monthly measles and rubella monitoring report, February 2018. Stockholm. ECDC website. Available at https://ecdc.europa.eu/sites/portal/files/documents/Monthly%20Measles%20and%20Rubella%20monitoring%20report%20%20February%202018.pdfPublished. ECDC.Google Scholar
17.Bosnyákovits, T et al. (2017) MEASLES OUTBREAK IN CSONGRÁD COUNTY FROM 29 JANUARY 2017 UNTIL 10 MARCH 2017. 19th DKMT Euroregional Conference on Environment and Health, June 9–10, Szeged, Hungary.Google Scholar
18.Tafuri, S et al. (2009) Occupational risk from measles in healthcare personnel: a case report. Journal of Occupational Health 51, 9799.Google Scholar
19.ECDC (2018) European Centre for Disease Prevention and Control. Risk of measles transmission in the EU/EEA, 21 March 2018. Stockholm, ECDC website. Available at https://ecdc.europa.eu/sites/portal/files/documents/Measles-rapid-risk-assessment-European-Union-countries_0.pdf. Published March 21.Google Scholar
20.WHO (2007) Report on a Collaborative Study to Investigate the Relationship between the 1st IRP and the 2nd and 3rd International Standards for Anti-Measles Serum/Plasma, in both ELISA and PRNT. Available at http://www.who.int/biologicals/BS07%202076anti-measles.pdf. EXPERT COMMITTEE ON BIOLOGICAL STANDARDIZATION Geneva – 8 to 12 October.Google Scholar
21.Tischer, A et al. (2007) Standardization of measles, mumps and rubella assays to enable comparisons of seroprevalence data across 21 European countries and Australia. Epidemiology and Infection 135, 787797.Google Scholar
22.Kang, HJ et al. (2017) An increasing, potentially measles-susceptible population over time after vaccination in Korea. Vaccine 35, 41264132.Google Scholar
23.Zibolenová, J et al. (2017) Estimation of the population susceptibility against measles in Slovakia. Central European Journal of Public Health 25, 4654.Google Scholar
24.Paunio, M et al. (2000) Secondary measles vaccine failures identified by measurement of IgG avidity: high occurrence among teenagers vaccinated at a young age. Epidemiology and Infection 124, 263271.Google Scholar
25.Atrasheuskaya, AV et al. (2008) Measles cases in highly vaccinated population of Novosibirsk, Russia, 2000–2005. Vaccine 26, 21112118.Google Scholar
26.Sugerman, DE et al. (2010) Measles outbreak in a highly vaccinated population, San Diego, 2008: role of the intentionally undervaccinated. Pediatrics 125, 747755.Google Scholar
27.Santibanez, S et al. (2014) Measles virus spread initiated at international mass gatherings in Europe, 2011. Euro Surveillance 19, 615.Google Scholar
28.Kontio, M et al. (2012) Waning antibody levels and avidity: implications for MMR vaccine-induced protection. The Journal of Infectious Diseases 206, 15421548.Google Scholar
29.Atrasheuskaya, AV et al. (2005) Measles in Minsk, Belarus, 2001–2003: clinical, virological and serological parameters. Journal of Clinical Virology 34, 179185.Google Scholar
30.Weston, KM et al. (2006) Nosocomial and community transmission of measles virus genotype D8 imported by a returning traveller from Nepal. Communicable Diseases Intelligence Quarterly Report 30, 358365.Google Scholar
31.Sydnor, E and Perl, TM (2014) Healthcare providers as sources of vaccine-preventable diseases. Vaccine 32, 48144822.Google Scholar
32.Huttunen, R and Syrjänen, J (2014) Healthcare workers as vectors of infectious diseases. European Journal of Clinical Microbiology & Infectious Diseases 33, 14771488.Google Scholar
33.Pittet, D (2001) Compliance with hand disinfection and its impact on hospital-acquired infections. The Journal of Hospital Infection 48 (Suppl. A), S40S46.Google Scholar
34.Remington, PL et al. (1985) Airborne transmission of measles in a physician's office. JAMA 253, 15741577.Google Scholar
35.Bloch, AB et al. (1985) Measles outbreak in a pediatric practice: airborne transmission in an office setting. Pediatrics 75, 676683.Google Scholar
36.Foulon, G et al. (1986) Transmission and severity of measles acquired in medical settings. JAMA 256, 11351136.Google Scholar
37.Agócs, MM et al. (1992) The 1988–1989 measles epidemic in Hungary: assessment of vaccine failure. International Journal of Epidemiology 21, 10071013.Google Scholar
38.Wiedermann, U, Garner-Spitzer, E and Wagner, A (2016) Primary vaccine failure to routine vaccines: why and what to do? Human Vaccines & Immunotherapeutics 12, 239243.Google Scholar
39.Mossong, J, O'Callaghan, CJ and Ratnam, S (2000) Modelling antibody response to measles vaccine and subsequent waning of immunity in a low exposure population. Vaccine 19, 523529.Google Scholar
40.Smetana, J et al. (2017) Decreasing seroprevalence of measles antibodies after vaccination – possible Gap in measles protection in adults in the Czech Republic. PLoS ONE 12, e0170257.Google Scholar
Figure 0

Table 1. Characteristics of the HCW population (N = 2167)

Figure 1

Table 2. Measles seroprevalence in HCWs by distribution of departments and occupations

Figure 2

Fig. 1. Measles seroprevalence in HCWs by gender and age groups in Military Medical Centre, Budapest, Hungary, 2017. There is a decrease in age group 36–45 in both genders which is considered significant, χ2 = 17 277; P = 0.0002 in men and χ2 = 45 748; P < 0.0001 in women. The horizontal line shows the herd immunity at 95%. In Hungary, the history of measles vaccination is the following: in 1969–1974 (44–49 years old) campaign vaccination in 9–23 months infants, with monovalent vaccine (Leningrad 16 strain); in 1974–1977 (41–44 years old) continuous vaccination of 10-month-old infants with monovalent vaccine (Leningrad 16 strain); 1978–1989 (29–40 years old) continuous vaccination of 14-month-old infants; 1989–1991 (27–29 years old) continuous vaccination of 14-month-old infants with monovalent vaccine (Rimevax) and revaccination at the age of 11 (Rimevax); 1991–1998 (20–29 years old) continuous vaccination of 15-month-old infants with trivalent vaccine (Pluserix) and revaccination at the age of 11 with monovalent vaccine (Rimevax).

Figure 3

Fig. 2. Measles total IgG levels, calculated in mIU/ml, using quantitative ELISA assay, are represented for each age group, with the mean value and the standard error. The upper long square braces represent the significant result of Kruskall–Wallis ANOVA with H = 441 693 and P ⩽ 0001. The origin of this significance is represented with the shorter square braces below, showing the simplified results of Dunn's post hoc multiple comparisons.