Detail
Článek
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Estimation of the population susceptibility against measles in Slovakia

J. Zibolenová, Z. Chladná, V. Švihrová, T. Baška, I. Waczulíková, H. Hudečková

. 2017 ; 25 (1) : 46-54.

Jazyk angličtina Země Česko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc17020764

Digitální knihovna NLK
Zdroj

E-zdroje Online Plný text

NLK Free Medical Journals od 2004
ProQuest Central od 2009-03-01 do Před 6 měsíci
Medline Complete (EBSCOhost) od 2006-03-01 do Před 6 měsíci
Nursing & Allied Health Database (ProQuest) od 2009-03-01 do Před 6 měsíci
Health & Medicine (ProQuest) od 2009-03-01 do Před 6 měsíci
Public Health Database (ProQuest) od 2009-03-01 do Před 6 měsíci

OBJECTIVE: In Slovakia, thanks to a highly effective vaccination programme, no domestic cases of measles have been reported since 1999. However, there are several outbreaks of measles currently hitting some countries in Europe. Difficulties in reaching the goal of measles elimination make it necessary to monitor the status of the population susceptibility to prevent similar outbreaks in the future. We hypothesize that immunity wanes overtime, which can substantially impact the population susceptibility. This work introduces a model that estimates a proportion of individuals susceptible to measles in the Slovak population in 2015. METHODS: Our analysis is based on an age-cohort model that incorporates waning immunity, vaccination schedule and changes in demographic structure. The inputs of the model are data on the vaccination coverage, last seroprevalence survey in 2002 and age structure of the population. RESULTS: In a short-term horizon, waning immunity does not affect the estimated proportion of the susceptible population. However, in a long-term horizon, the antibody titers can fall below the level of protection, which would result in a substantial transfer of initially immune individuals to the compartment of the susceptible ones. Incorporating of waning immunity in the cohort model has indicated that the most susceptible cohorts are not-vaccinated youngest children and cohorts born between 1969 and 1986. CONCLUSIONS: Applying the model to the current situation shows that people aged 30-45 years and unvaccinated infants represent the most susceptible groups. Model partially replaces missing seroprevalence survey, but, because the parameters of model and phenomenon of waning immunity are not exactly known, we suggest reintroducing the regular national serosurveys in order to empirically determine the level of susceptibility for measles in Slovakia.

000      
00000naa a2200000 a 4500
001      
bmc17020764
003      
CZ-PrNML
005      
20170629145459.0
007      
ta
008      
170622s2017 xr d f 000 0|eng||
009      
AR
024    7_
$a 10.21101/cejph.a4914 $2 doi
035    __
$a (PubMed)28399355
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xr
100    1_
$a Zibolenová, Jana $u Department of Public Health, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia $7 xx0257015
245    10
$a Estimation of the population susceptibility against measles in Slovakia / $c J. Zibolenová, Z. Chladná, V. Švihrová, T. Baška, I. Waczulíková, H. Hudečková
520    9_
$a OBJECTIVE: In Slovakia, thanks to a highly effective vaccination programme, no domestic cases of measles have been reported since 1999. However, there are several outbreaks of measles currently hitting some countries in Europe. Difficulties in reaching the goal of measles elimination make it necessary to monitor the status of the population susceptibility to prevent similar outbreaks in the future. We hypothesize that immunity wanes overtime, which can substantially impact the population susceptibility. This work introduces a model that estimates a proportion of individuals susceptible to measles in the Slovak population in 2015. METHODS: Our analysis is based on an age-cohort model that incorporates waning immunity, vaccination schedule and changes in demographic structure. The inputs of the model are data on the vaccination coverage, last seroprevalence survey in 2002 and age structure of the population. RESULTS: In a short-term horizon, waning immunity does not affect the estimated proportion of the susceptible population. However, in a long-term horizon, the antibody titers can fall below the level of protection, which would result in a substantial transfer of initially immune individuals to the compartment of the susceptible ones. Incorporating of waning immunity in the cohort model has indicated that the most susceptible cohorts are not-vaccinated youngest children and cohorts born between 1969 and 1986. CONCLUSIONS: Applying the model to the current situation shows that people aged 30-45 years and unvaccinated infants represent the most susceptible groups. Model partially replaces missing seroprevalence survey, but, because the parameters of model and phenomenon of waning immunity are not exactly known, we suggest reintroducing the regular national serosurveys in order to empirically determine the level of susceptibility for measles in Slovakia.
650    _2
$a mladiství $7 D000293
650    _2
$a dospělí $7 D000328
650    _2
$a dítě $7 D002648
650    _2
$a předškolní dítě $7 D002675
650    _2
$a epidemický výskyt choroby $7 D004196
650    12
$a náchylnost k nemoci $7 D004198
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a lidé $7 D006801
650    _2
$a očkovací schéma $7 D007115
650    _2
$a kojenec $7 D007223
650    _2
$a novorozenec $7 D007231
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a spalničky $x epidemiologie $x imunologie $x prevence a kontrola $7 D008457
650    _2
$a spalničková vakcína $x imunologie $7 D008458
650    _2
$a lidé středního věku $7 D008875
650    _2
$a rizikové faktory $7 D012307
650    _2
$a séroepidemiologické studie $7 D016036
650    _2
$a Slovenská republika $x epidemiologie $7 D018154
655    _2
$a časopisecké články $7 D016428
700    1_
$a Chladná, Zuzana $u Department of Applied Mathematics and Statistics, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia $7 _AN092126
700    1_
$a Švihrová, Viera $u Department of Public Health, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia $7 xx0121223
700    1_
$a Baška, Tibor $u Department of Public Health, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia $7 xx0133846
700    1_
$a Waczulíková, Iveta $u Division of Biomedical Physics, Department of Nuclear Physics and Biophysics, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia $7 xx0238686
700    1_
$a Hudečková, Henrieta $u Department of Public Health, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia $7 xx0077444
773    0_
$w MED00001083 $t Central European journal of public health $x 1210-7778 $g Roč. 25, č. 1 (2017), s. 46-54
856    41
$u http://apps.szu.cz/svi/cejph/ $y domovská stránka časopisu
910    __
$a ABA008 $b B 1829 $c 562 $y 4 $z 0
990    __
$a 20170622 $b ABA008
991    __
$a 20170629111951 $b ABA008
999    __
$a ok $b bmc $g 1235591 $s 981634
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2017 $b 25 $c 1 $d 46-54 $i 1210-7778 $m Central European Journal of Public Health $n Cent. Eur. J. Public Health $x MED00001083
LZP    __
$b NLK118 $a Pubmed-20170622

Najít záznam

Citační ukazatele

Nahrávání dat...

Možnosti archivace

Nahrávání dat...