| Literature DB >> 25898095 |
Dre Nijsten1, P Carrillo-Santisteve, A Miglietta, J Ruitenberg, P L Lopalco.
Abstract
The WHO European Region has been declared polio-free since 2002. By 2010, inactivated polio vaccine (IPV) was the only polio vaccine in use in the EU/EEA for the primary vaccination of children. A systematic review of the literature on polio seroprevalence studies, complemented by the analysis of available vaccine coverage data, has been carried out with the aim of assessing the level of protection against polio in the European population. A total of 52 studies, with data from 14 out of the 31 EU/EEA countries, were included in the analysis. This systematic review shows that, overall, seroprevalence for PV1 and PV3 is high in most countries, although seroimmunity gaps have been detected in several birth cohorts. In particular, relatively low immunity status was found in some countries for individuals born in the 60's and 70's. Discrepancies between reported vaccination coverage and immunity levels have been also highlighted. Countries should make sure that their population is being vaccinated for polio to reduce the risk of local poliovirus transmission in case of importation. Moreover, assessing immunity status should be priority for those traveling to areas where wild polioviruses are still circulating.Entities:
Keywords: EU/EEA; polio-vaccine; poliomyelitis; sero-epidemiology; seroprevalence; vaccine coverage
Mesh:
Substances:
Year: 2015 PMID: 25898095 PMCID: PMC4635704 DOI: 10.1080/21645515.2015.1016673
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 3.452
Studies included in the systematic review (n = 52) and estimated median P1 (%) and P3 (%) seroprevelance by decade of birth
| Source | Country | Population | No. | Titer | 20s | 30s | 40s | 50s | 60s | 70s | 80s | 90s | 00s | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P1 | P3 | P1 | P3 | P1 | P3 | P1 | P3 | P1 | P3 | P1 | P3 | P1 | P3 | P1 | P3 | P1 | P3 | |||||
| Lamy (1978) | Belgium | Hospital and school | 2225 | ≥1:4 | 85.7 | 83.9 | 84.3 | 82.9 | 86.7 | 82.5 | 83.1 | 85.8 | 57.8 | 61.4 | 57.9 | 71.9 | ||||||
| Parmakova (2011) | Bulgaria | Hospital | 250 | ≥1:8 | 100 | 100 | 100 | 100 | 100 | 85 | 88.8 | 77.3 | 93.3 | 74.2 | 83.9 | 84.6 | ||||||
| Borcic (1998) | Croatia | General | 200 | ≥1:8 | 77.5 | 80 | 73.3 | 82.5 | 68 | 85.3 | 77.3 | 81.5 | 81.8 | 85 | 80 | 85 | ||||||
| Teply (1977) | Czech Republic | General | 540 | ≥1:4 | 95.3 | 96.4 | 95.2 | 94.3 | 92.8 | 98.5 | 95.7 | 93.5 | 97.4 | 94.8 | ||||||||
| Teply (1977) | Czech Republic | General | 180 | ≥1:4 | 99 | 93.5 | 89.5 | 80.9 | ||||||||||||||
| Teply (1977) | Czech Republic | General | 330 | ≥1:4 | 93 | 91.6 | 96.7 | 94.6 | 97.8 | 93.7 | 98.1 | 93.4 | 95.7 | 90.7 | ||||||||
| Teply (1977) | Czech Republic | General | 330 | ≥1:4 | 94.5 | 93.4 | 96.5 | 96.6 | 98.5 | 97.8 | 99.3 | 96.6 | 98.8 | 96.9 | ||||||||
| Teply (1977) | Czech Republic | General | 330 | ≥1:4 | 89.5 | 93.5 | 93.8 | 96.4 | 96.8 | 96.3 | 98.8 | 96.3 | 98.3 | 91.9 | ||||||||
| Teply (1977) | Czech Republic | General | 540 | ≥1:4 | 97.5 | 93.8 | 96.1 | 92 | 97.4 | 94.3 | 96.5 | 96.5 | 99 | 95.5 | 98.8 | 94.6 | ||||||
| Matyasova (2003) | Czech-Republic | General | 3230 | ≥1:8 | 92.2 | 92.2 | 98.2 | 96.6 | 98.4 | 97. | 99.6 | 98.1 | 98.2 | 98.4 | 99.2 | 99 | 98.3 | 97.9 | 100 | 100 | ||
| Malvy (1996) | France | General - Females | 150 | ≥1:10 | 84 | 88 | 91.2 | 88 | 99.2 | 84.4 | 100 | 84 | 85.6 | 94.8 | 84 | 92.8 | 87.3 | 81.3 | ||||
| Malvy (1996) | France | General - Males | 150 | ≥1:10 | 92 | 64 | 88.4 | 74.8 | 88 | 86.8 | 88 | 88 | 91.6 | 98.8 | 88.8 | 98.4 | 84 | 86 | ||||
| Diedrich (1995) | Germany | General | 3266 | ≥1:4 | 89 | 77 | 88.4 | 77.6 | 88 | 78 | 92.2 | 79.8 | 95 | 81 | 94.5 | 80.3 | 95 | 81.8 | 90.3 | 76.3 | ||
| Diedrich (2007) | Germany | General population | 1726 | ≥1:4 | 92 | 92 | 97.6 | 94.1 | 97.5 | 92.5 | 97.4 | 94.7 | ||||||||||
| Grutzner (1970) | Germany | Military personnel | 349 | ≥1:4 | 93.3 | 80.2 | 93.3 | 80.2 | ||||||||||||||
| Grutzner (1970) | Germany | Military personnel | 224 | ≥1:4 | 96.1 | 91.1 | 96.1 | 91.1 | ||||||||||||||
| Grutzner (1970) | Germany | Military personnel | 352 | ≥1:4 | 84.4 | 84.4 | 62.4 | 62.4 | 62.4 | 62.4 | ||||||||||||
| Sauerbrei (2002) | Germany | Pregnant | 290 | ≥1:10 | 90 | 89.2 | 63.8 | 81.2 | 63.8 | 72 | 63.8 | |||||||||||
| Doerr (1979) | Germany | Laboratory | 4705 | ≥1:4 | 80 | 91.4 | 80.4 | 88 | 82.6 | 85 | 74.8 | 81.1 | ||||||||||
| Maass (1986) | Germany | Laboratory | 3847 | ≥1:4 | 85.2 | 84.9 | 83.2 | 75.3 | ||||||||||||||
| Maass (1991) | Germany | Laboratory | 3341 | ≥1:4 | 88.7 | 86.4 | 88.8 | 86.6 | 89.8 | 88.4 | 88 | 89.4 | 86.1 | 83 | ||||||||
| Stark (1999) | Germany | Blood donors | 2079 | ≥1:8 | 90 | 76 | 89.8 | 76 | 86.9 | 75.1 | 77.9 | 66.7 | 86 | 64 | ||||||||
| Stark (1999) | Germany | Blood donors | 2079 | ≥1:8 | 84 | 65 | 84.9 | 66.7 | 92.6 | 81.8 | 89.3 | 80.4 | 92 | 84 | ||||||||
| Weber (1994) | Germany | Hospital | 1243 | ≥1:10 | 81.4 | 78.4 | 81.4 | 78.4 | 81.4 | 78.4 | 81.4 | 78.4 | 81.4 | 78.4 | 81.4 | 78.4 | 81.4 | 78.4 | ||||
| Wicker (2007) | Germany | Medical students | 223 | ≥1:10 | 95.1 | 70 | 95.1 | 70 | 95.1 | 70 | ||||||||||||
| Franck (1999) | Germany | General | 1244 | ≥1:10 | 85 | 80.8 | 89.5 | 82.2 | 82.6 | 79.6 | 82.4 | 79.1 | 82.1 | 77.5 | 77.4 | 71.1 | 75.1 | 72.2 | ||||
| Franck (1999) | Germany | General | 535 | ≥1:10 | 80 | 77.8 | 78.1 | 75.3 | 77.3 | 73.3 | 76.8 | 75 | 78.5 | 79.2 | 84.2 | 78.8 | 73.8 | 65.8 | 74.4 | 58.1 | ||
| Franck (1999) | Germany | General | 1695 | ≥1:10 | 80.1 | 70.2 | 81.1 | 70.4 | 85 | 73 | 83.3 | 76.7 | 78.6 | 66.5 | 77.9 | 65.3 | 77.4 | 47.5 | 76.3 | 53 | ||
| Dalaina (1986) | Greece | General | 881 | ≥1:4 | 84.5 | 85 | 83.5 | 84 | 88 | 84 | 76 | 76 | 74 | 76 | 84.5 | 86.5 | 82 | 86 | ||||
| Frantzidou (2005) | Greece | General | 1064 | ≥1:8 | 87.4 | 85.3 | 86.3 | 86.6 | 87.8 | 85.6 | 89.9 | 87.9 | 89.5 | 83.8 | 89.6 | 77.4 | 94.3 | 75.8 | 96.9 | 86.2 | 96.7 | 87.9 |
| Patti (2002) | Italy | General | 9734 | ≥1:8 | 91.5 | 85.1 | 91.5 | 85.1 | 94.4 | 88.9 | 97.3 | 92.7 | ||||||||||
| Santoro (1984) | Italy | General | 3834 | ≥1:2 | 97.2 | 96.6 | 97.4 | 96.8 | 98.3 | 97.6 | 98.1 | 97.8 | 97.6 | 96.6 | ||||||||
| Mastroeni (1997) | Italy | Children | 1000 | ≥1:8 | 97.6 | 70 | ||||||||||||||||
| Volpi (1976) | Italy | General | 602 | ≥1:2 | 99 | 98.5 | 99 | 98.5 | 99 | 98.5 | 98.6 | 99.3 | 98.4 | 99.3 | 97.7 | 98.5 | ||||||
| Tafuri (2008) | Italy | General | 704 | ≥1:8 | 100 | 99.4 | 100 | 99.4 | ||||||||||||||
| Pianetti (2003) | Italy | General | 477 | ≥1:8 | 97.6 | 95.3 | 98.6 | 94.5 | 97.8 | 94.9 | 95.2 | 96.1 | 94.3 | 94.5 | 93.3 | 93.7 | 96 | 92 | 96 | 92 | ||
| Pianetti (1997) | Italy | Military recruits | 530 | ≥1:8 | 91.9 | 95.5 | ||||||||||||||||
| Trivello (1994) | Italy | General | 274 | ≥1:8 | 97.9 | 88.3 | 97.9 | 88.3 | 97.9 | 88.3 | 97.9 | 88.3 | 97.9 | 88.3 | 97.9 | 88.3 | 97.9 | 88.3 | 97.9 | 88.3 | ||
| Majori (2006) | Italy | Hospital | 511 | ≥1:2 | 99.3 | 98.9 | 99.3 | 98.9 | 99.3 | 98.9 | 99.6 | 99.6 | 99.6 | 99.6 | 99.6 | 99.6 | ||||||
| Reali (1990) | Italy | Hospital | 742 | ≥1:8 | 92 | 82 | 87 | 75.8 | 87.2 | 76.6 | 86.4 | 80.6 | 74.8 | 69.2 | 76 | 73.6 | 97 | 98.2 | ||||
| Natoli (1980) | Italy | High school | 57 | ≥1:8 | 65 | 65 | ||||||||||||||||
| Veronesi (2013) | Italy | Obstetric department | 493 | ≥1:8 | 91.1 | 65.5 | 91.1 | 65.5 | 91.1 | 65.5 | 91.1 | 65.5 | ||||||||||
| Albano (1986) | Italy | General | 400 | ≥1:4 | 96 | 98 | 96 | 96. | 98 | 97 | 95 | 99 | 94 | 99 | 97 | 99 | 100 | 100 | ||||
| Tanzi (1991) | Italy | General | 1041 | ≥1:2 | 99.3 | 98 | 99 | 97.6 | 99 | 97.5 | 99.9 | 99.8 | 99.3 | 100 | 99.3 | 99.9 | ||||||
| Stagni (1979) | Italy | General | 1003 | ≥1:2 | 99 | 100 | 99 | 100 | 99 | 100 | 99.9 | 99.9 | 99.9 | 99.7 | ||||||||
| Ribera (1995) | Italy | General | 816 | ≥1:2 | 91 | 91.3 | 91 | 91.3 | ||||||||||||||
| Maiello (1995) | Italy | General | 934 | ≥1:2 | 96.7 | 91.9 | 94.6 | 90.2 | 94.3 | 92.3 | 96.6 | 96.6 | 97.9 | 97.2 | 100 | 92.3 | 98.2 | 97.8 | 98.1 | 100 | ||
| Andreassen (1994) | Lithuania | Pregnant | 100 | ≥1:4 | 91 | 93 | 91 | 93 | ||||||||||||||
| Andreassen (1994) | Lithuania | Policemen | 50 | ≥1:4 | 74 | 80 | 74 | 80 | 74 | 80 | ||||||||||||
| Andreassen (1994) | Lithuania | Men at military camp | 50 | ≥1:4 | 88 | 87 | ||||||||||||||||
| Conyn-van Spaendonck (2001) | Netherlands | General | 7773 | ≥1:8 | 91.8 | 84.6 | 91.8 | 84.6 | 97.9 | 90.2 | 97.9 | 90.2 | 97.9 | 90.2 | 98.2 | 91.6 | 99.4 | 97.1 | 99 | 95.8 | ||
| Van der Maas (2014) | Netherlands | General | 6386 | ≥1:8 | 88.6 | 78 | 90 | 80.8 | 91.7 | 82.5 | 91.5 | 77.9 | 94 | 80 | 97.9 | 90.4 | 98.7 | 91.1 | 98 | 90.9 | 96.1 | 78 |
| Conyn-van Spaendonck (2001) | Netherlands | Orthodox protestants refusing vaccination | 145 | ≥1:8 | 86.9 | 61.3 | 86.9 | 61.3 | 64 | 54.3 | 64 | 54.3 | 64 | 54.3 | 53.6 | 54 | 12.1 | 52.8 | 9.6 | 32.2 | ||
| Van der Maas (2014) | Netherlands | Orthodox protestants | 480 | ≥1:8 | 80.3 | 71.1 | 80.3 | 71.1 | 80.3 | 71.1 | 78.1 | 68.3 | 72.9 | 61.7 | 70.9 | 62.4 | 52.8 | 68.7 | 50.9 | 56.4 | 49.7 | 48.2 |
| Português Ministério da Saúde (2004) | Portugal | General | 1133 | ≥1:8 | 90.1 | 81.8 | 89.1 | 78.5 | 88.2 | 88.2 | 87 | 70.5 | 91.8 | 74.2 | 93.3 | 63.5 | 96.3 | 81 | ||||
| Pachon (2002) | Spain | General | 3615 | ≥1:2 | 95.7 | 94.7 | 95.4 | 94.7 | 96.3 | 95.2 | 99.3 | 95.9 | 98.5 | 97.5 | ||||||||
| Plans Rubio (2006) | Spain | Primary school | 197 | ≥1:8 | 92 | 74.1 | 94.5 | 72.2 | ||||||||||||||
| Bottiger (1972) | Sweden | General | 2291 | ≥1:4 | 93.6 | 96.3 | 91.3 | 95.4 | 94 | 94.9 | 87.2 | 95.2 | 94.1 | 96.4 | ||||||||
| Svensson (1998) | Sweden | General Female | 3390 | ≥1:4 | 96.8 | 95.5 | 98.9 | 98.7 | 98.5 | 97.4 | 98 | 96.1 | 99 | 98.2 | 99.5 | 98.4 | ||||||
| Svensson (1998) | Sweden | General Male | 3390 | ≥1:4 | 93.7 | 91 | 95.1 | 93.7 | 95.1 | 91.9 | 94.6 | 92 | 96.1 | 97.1 | 98.5 | 97.2 | ||||||
| White (1986) | United Kingdom | General | 995 | ≥1:8 | 87 | 85.2 | 81.2 | 82.4 | 86.6 | 84.2 | 91.6 | 86.2 | 89.1 | 81.4 | 88.7 | 77.9 | 90 | 87 | ||||
| Codd (1979) | United Kingdom | General | 1016 | ≥1:4 | 74.5 | 59 | 74.9 | 63.3 | 73.8 | 69.2 | 67.7 | 56.3 | 64.7 | 48.6 | 64.4 | 50 | ||||||
| Roebuck (1982) | United Kingdom | General | 919 | ≥1:8 | 79 | 78 | 85 | 80.4 | 86 | 79.6 | 84 | 78 | 76.9 | 64.9 | 89.3 | 72.3 | ||||||
| Mortimer (1975) | United Kingdom | Children | 292 | ≥1:8 | 70 | 61 | 83 | 71 | ||||||||||||||
| Bainton (1979) | United Kingdom | General | 293 | ≥1:8 | 95 | 89 | ||||||||||||||||
| Joseph (1987) | United Kingdom | University students | 300 | ≥1:8 | 80 | 60 | 86 | 64.3 | ||||||||||||||
| Smith (1982) | United Kingdom | Secondary schools | 208 | ≥1:16 | 74 | 61.1 | 74 | 61.1 | 74 | 61.1 | ||||||||||||
| Galbraith (1969) | United Kingdom | Children | 247 | ≥1:8 | 87 | 88 | 87 | 88 | ||||||||||||||
Figure 1.Flow diagram of the study selection process.
Figure 2.Median Polio 1 antibodies seroprevalence and 3 doses poliovaccine coverage by decade and EU/EEA Country. Vertical axis: Percentage (%); Horizontal axis: decade; Gray line: median Polio 1 antibodies seroprevalence (%); Black line: median 3 doses poliovaccine coverage (%); Light gray square: range of the median Polio 1 antibodies seroprevalence (%).
Figure 3.Median Polio 3 antibodies seroprevalence and 3 doses poliovaccine coverage by decade and EU/EEA Country. Vertical axis: Percentage (%); Horizontal axis: decade; Gray line: median Polio 3 antibodies seroprevalence (%); Black line: median 3 doses poliovaccine coverage (%); Light gray square: range of the median Polio 3 antibodies seroprevalence (%).