Population and sub-national (district) level diversity in missed and dropout of different doses of hepatitis-B vaccine among Indian children aged 12-59 months
Initiating with a birth dose and a full immunization against hepatitis-B is crucial during early childhood in a country like India where maternal screening of hepatitis-B surface antigen is almost negligible and there is a considerable risk of vertical transmission among children. It is also evident...
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Public Library of Science (PLoS),
2022-01-01T00:00:00Z.
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LEADER | 00000 am a22000003u 4500 | ||
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001 | doaj_62d24d7094154d4383b26b4437f0e94c | ||
042 | |a dc | ||
100 | 1 | 0 | |a Junaid Khan |e author |
700 | 1 | 0 | |a Apurba Shil |e author |
700 | 1 | 0 | |a Parul Puri |e author |
245 | 0 | 0 | |a Population and sub-national (district) level diversity in missed and dropout of different doses of hepatitis-B vaccine among Indian children aged 12-59 months |
260 | |b Public Library of Science (PLoS), |c 2022-01-01T00:00:00Z. | ||
500 | |a 2767-3375 | ||
520 | |a Initiating with a birth dose and a full immunization against hepatitis-B is crucial during early childhood in a country like India where maternal screening of hepatitis-B surface antigen is almost negligible and there is a considerable risk of vertical transmission among children. It is also evident that coverage of hepatitis-B is lowest among all other vaccine doses included in the universal immunization program. In addition, the major challenge is posed by the missed and drop-out of different doses of hepatitis-B among Indian children. In this context, this study examined the population and sub-national level diversity in missed and dropout of different doses of hepatitis-B vaccine in India. We analysed a large dataset of 196,654 children aged 12-59 months from a nationally representative cross-sectional survey, the National Family Health Survey (NFHS), 2015-16. Bivariate cross tabulation was used to estimate the prevalence and the dropout rates. Multivariable-adjusted logistic regression was applied to assess the likelihood of the study events. Within a Bayesian framework, a district-level spatial analysis was conducted employing the Besag-York-Mollie (BYM) Model and the Leroux Model. During 2016, 38% of the children missed the birth dose nationally and 45% of the children did not complete full immunization of hepatitis-B. Findings suggest, presence of socio-economic and demographic gradients in missed and drop-out of different doses of hepatitis-B at national level. The sub-national level spatial analysis identifies more than 280 (out of 640) districts with substantially higher risk (Posterior Median Risk>1) in terms of missed and drop-out of different doses. Most of these districts are scattered across the North-Eastern and Northern part of India. The findings hint the existence of a population and sub-national level diversity in India's missed out and dropout of hepatitis-B doses. Identifying high risk population sub-groups and the districts with children at higher risk of missing the birth and consecutive doses informs the existing knowledge base and helps in formulating community-oriented policies and programs. | ||
546 | |a EN | ||
690 | |a Public aspects of medicine | ||
690 | |a RA1-1270 | ||
655 | 7 | |a article |2 local | |
786 | 0 | |n PLOS Global Public Health, Vol 2, Iss 5 (2022) | |
787 | 0 | |n https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021217/?tool=EBI | |
787 | 0 | |n https://doaj.org/toc/2767-3375 | |
856 | 4 | 1 | |u https://doaj.org/article/62d24d7094154d4383b26b4437f0e94c |z Connect to this object online. |