Immunisation coverage in rural-urban migrant children in low and middle-income countries (LMICs): a systematic review and meta-analysis
Immunisation coverage in rural-urban migrant children in low and middle-income countries (LMICs): a systematic review and meta-analysis
Background: the majority of children who die from vaccine-preventable diseases (VPDs) live in low-income and-middle-income countries (LMICs). With the rapid urbanisation and rural-urban migration ongoing in LMICs, available research suggests that migration status might be a determinant of immunisation coverage in LMICs, with rural-urban migrant (RUM) children being less likely to be immunised.
Objectives: to examine and synthesise the data on immunisation coverage in RUM children in LMICs and to compare coverage in these children with non-migrant children.
Methods: a multiple database search of published and unpublished literature on immunisation coverage for the routine Expanded Programme on Immunisation (EPI) vaccines in RUM children aged 5 years and below was conducted. Following a staged exclusion process, studies that met the inclusion criteria were assessed for quality and data extracted for meta-analysis.
Results: eleven studies from three countries (China, India and Nigeria) were included in the review. There was substantial statistical heterogeneity between the studies, thus no summary estimate was reported for the meta-analysis. Data synthesis from the studies showed that the proportion of fully immunised RUM children was lower than the WHO bench-mark of 90% at the national level. RUMs were also less likely to be fully immunised than the urban-non-migrants and general population. For the individual EPI vaccines, all but two studies showed lower immunisation coverage in RUMs compared with the general population using national coverage estimates.
Conclusions: this review indicates that there is an association between rural-urban migration and immunisation coverage in LMICs with RUMs being less likely to be fully immunised than the urban non-migrants and the general population. Specific efforts to improve immunisation coverage in this subpopulation of urban residents will not only reduce morbidity and mortality from VPDs in migrants but will also reduce health inequity and the risk of infectious disease outbreaks in wider society.
Child, China, Humans, Immunization/statistics & numerical data, Immunization Programs, Immunization Schedule, India, Nigeria, Population Dynamics, Poverty, Rural Population/statistics & numerical data, Transients and Migrants, Urban Population/statistics & numerical data, Vaccination, Vaccines
305-11
Awoh, Abiyemi Benita
2b21143a-e703-40c9-8f1d-fe927c3b2a3c
Plugge, Emma
b64d2086-6cf2-4fae-98bf-6aafa3115b35
11 February 2016
Awoh, Abiyemi Benita
2b21143a-e703-40c9-8f1d-fe927c3b2a3c
Plugge, Emma
b64d2086-6cf2-4fae-98bf-6aafa3115b35
Awoh, Abiyemi Benita and Plugge, Emma
(2016)
Immunisation coverage in rural-urban migrant children in low and middle-income countries (LMICs): a systematic review and meta-analysis.
Journal of Epidemiology and Community Health, 70 (3), .
(doi:10.1136/jech-2015-205652).
Abstract
Background: the majority of children who die from vaccine-preventable diseases (VPDs) live in low-income and-middle-income countries (LMICs). With the rapid urbanisation and rural-urban migration ongoing in LMICs, available research suggests that migration status might be a determinant of immunisation coverage in LMICs, with rural-urban migrant (RUM) children being less likely to be immunised.
Objectives: to examine and synthesise the data on immunisation coverage in RUM children in LMICs and to compare coverage in these children with non-migrant children.
Methods: a multiple database search of published and unpublished literature on immunisation coverage for the routine Expanded Programme on Immunisation (EPI) vaccines in RUM children aged 5 years and below was conducted. Following a staged exclusion process, studies that met the inclusion criteria were assessed for quality and data extracted for meta-analysis.
Results: eleven studies from three countries (China, India and Nigeria) were included in the review. There was substantial statistical heterogeneity between the studies, thus no summary estimate was reported for the meta-analysis. Data synthesis from the studies showed that the proportion of fully immunised RUM children was lower than the WHO bench-mark of 90% at the national level. RUMs were also less likely to be fully immunised than the urban-non-migrants and general population. For the individual EPI vaccines, all but two studies showed lower immunisation coverage in RUMs compared with the general population using national coverage estimates.
Conclusions: this review indicates that there is an association between rural-urban migration and immunisation coverage in LMICs with RUMs being less likely to be fully immunised than the urban non-migrants and the general population. Specific efforts to improve immunisation coverage in this subpopulation of urban residents will not only reduce morbidity and mortality from VPDs in migrants but will also reduce health inequity and the risk of infectious disease outbreaks in wider society.
Text
305.full
- Version of Record
More information
Accepted/In Press date: 4 August 2015
e-pub ahead of print date: 7 September 2015
Published date: 11 February 2016
Keywords:
Child, China, Humans, Immunization/statistics & numerical data, Immunization Programs, Immunization Schedule, India, Nigeria, Population Dynamics, Poverty, Rural Population/statistics & numerical data, Transients and Migrants, Urban Population/statistics & numerical data, Vaccination, Vaccines
Identifiers
Local EPrints ID: 485258
URI: http://eprints.soton.ac.uk/id/eprint/485258
ISSN: 0143-005X
PURE UUID: e04b7d73-70fc-433d-80bf-fea0e9ac17d0
Catalogue record
Date deposited: 01 Dec 2023 17:50
Last modified: 12 Jul 2024 02:06
Export record
Altmetrics
Contributors
Author:
Abiyemi Benita Awoh
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics