Literature DB >> 22943300

Unvaccinated children in years of increasing coverage: how many and who are they? Evidence from 96 low- and middle-income countries.

Xavier Bosch-Capblanch1, K Banerjee, A Burton.   

Abstract

OBJECTIVE: While childhood immunisation coverage levels have increased since the 70s, inequities in coverage between and within countries have been widely reported. Unvaccinated children remain undetected by routine monitoring systems and strikingly unreported. The objective of this study was to provide evidence on the magnitude of the problem and to describe predictors associated with non-vaccination.
METHODS: Two hundred and forty-one nationally representative household surveys in 96 countries were analysed. Proportions and changes in time of 'unvaccinated' (children having not received a single dose of vaccine), 'partially vaccinated' and 'fully vaccinated' children were estimated. Predictors of non-vaccination were explored.
RESULTS: The percentage of unvaccinated children was 9.9% across all surveys. 66 countries had more than one survey: 38 showed statistically significant reductions in the proportion of unvaccinated children between the first and last survey, 10 countries showed increases and the rest showed no significant changes. However, while 18 of the 38 countries also improved in terms of partially and fully vaccinated, in the other 20 the proportion of fully vaccinated decreased. The predictors more strongly associated with being unvaccinated were education of the caregiver, education of caregiver's partner, caregiver's tetanus toxoid (TT) status, wealth index and type of family member participation in decision-making when the child is ill. Multivariable logistic regression identified the TT status of the caregiver as the strongest predictors of unvaccinated children. Country-specific summaries were produced and sent to countries.
CONCLUSION: The number of unvaccinated children is not negligible and their proportion and the predictors of non-vaccination have to be drawn from specific surveys. Specific vaccine indicators cannot properly describe the performance of immunisation programmes in certain situations. National immunisation programmes and national and international immunisation stakeholders should also consider monitoring the proportion of unvaccinated children (i.e. those who have received no vaccines at all) and draw specific plans on the determinants of non-vaccination.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 22943300     DOI: 10.1111/j.1365-3156.2012.02989.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  38 in total

Review 1.  Exposing concerns about vaccination in low- and middle-income countries: a systematic review.

Authors:  Daniel Cobos Muñoz; Laura Monzón Llamas; Xavier Bosch-Capblanch
Journal:  Int J Public Health       Date:  2015-08-23       Impact factor: 3.380

2.  Vaccination Coverage Disparities Between Foreign-Born and U.S.-Born Children Aged 19-35 Months, United States, 2010-2012.

Authors:  Aiden K Varan; Alfonso Rodriguez-Lainz; Holly A Hill; Laurie D Elam-Evans; David Yankey; Qian Li
Journal:  J Immigr Minor Health       Date:  2017-08

3.  Measles and rubella vaccination coverage in Haiti, 2012: progress towards verifying and challenges to maintaining measles and rubella elimination.

Authors:  Rania A Tohme; Jeannot François; Kathleen Wannemuehler; Roc Magloire; M Carolina Danovaro-Holliday; Brendan Flannery; Kathleen F Cavallaro; David L Fitter; Nora Purcell; Amber Dismer; Jordan W Tappero; John F Vertefeuille; Terri B Hyde
Journal:  Trop Med Int Health       Date:  2014-07-16       Impact factor: 2.622

4.  Using geospatial models to map zero-dose children: factors associated with zero-dose vaccination status before and after a mass measles and rubella vaccination campaign in Southern province, Zambia.

Authors:  Rohan Arambepola; Yangyupei Yang; Kyle Hutchinson; Francis Dien Mwansa; Julie Ann Doherty; Frazer Bwalya; Phillimon Ndubani; Gloria Musukwa; William John Moss; Amy Wesolowski; Simon Mutembo
Journal:  BMJ Glob Health       Date:  2021-12

5.  Vaccination and all-cause child mortality from 1985 to 2011: global evidence from the Demographic and Health Surveys.

Authors:  Mark E McGovern; David Canning
Journal:  Am J Epidemiol       Date:  2015-10-08       Impact factor: 4.897

6.  Mapping how information about childhood vaccination is communicated in two regions of Cameroon: What is done and where are the gaps?

Authors:  Heather Ames; Diangha Mabel Njang; Claire Glenton; Atle Fretheim; Jessica Kaufman; Sophie Hill; Afiong Oku; Julie Cliff; Yuri Cartier; Xavier Bosch-Capblanch; Gabriel Rada; Artur Muloliwa; Angela Oyo-Ita; Simon Lewin
Journal:  BMC Public Health       Date:  2015-12-21       Impact factor: 3.295

7.  "Communicate to vaccinate": the development of a taxonomy of communication interventions to improve routine childhood vaccination.

Authors:  Natalie Willis; Sophie Hill; Jessica Kaufman; Simon Lewin; John Kis-Rigo; Sara Bensaude De Castro Freire; Xavier Bosch-Capblanch; Claire Glenton; Vivian Lin; Priscilla Robinson; Charles S Wiysonge
Journal:  BMC Int Health Hum Rights       Date:  2013-05-11

Review 8.  Measuring coverage in MNCH: design, implementation, and interpretation challenges associated with tracking vaccination coverage using household surveys.

Authors:  Felicity T Cutts; Hector S Izurieta; Dale A Rhoda
Journal:  PLoS Med       Date:  2013-05-07       Impact factor: 11.069

Review 9.  Gender Determinants of Vaccination Status in Children: Evidence from a Meta-Ethnographic Systematic Review.

Authors:  Sonja Merten; Adriane Martin Hilber; Christina Biaggi; Florence Secula; Xavier Bosch-Capblanch; Pem Namgyal; Joachim Hombach
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

10.  Impact of Pneumococcal Conjugate Vaccine Administration in Pediatric Older Age Groups in Low and Middle Income Countries: A Systematic Review.

Authors:  Kimberly Bonner; Emily Welch; Kate Elder; Jennifer Cohn
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

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