Cargando…

Epidemiology of acute rubella infection in Zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era

BACKGROUND: Rubella is highly under reported in Zambia as in most sub-Saharan countries despite being a disease of major public health concern especially among women of childbearing age. In September 2016, Zambia introduced a combined measles-rubella vaccine in children 0–14 years. In this study, we...

Descripción completa

Detalles Bibliográficos
Autores principales: Mazaba, Mazyanga L., Siziya, Seter, Monze, Mwaka, Cohen, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998197/
https://www.ncbi.nlm.nih.gov/pubmed/32013873
http://dx.doi.org/10.1186/s12879-020-4806-5
_version_ 1783493815291609088
author Mazaba, Mazyanga L.
Siziya, Seter
Monze, Mwaka
Cohen, Daniel
author_facet Mazaba, Mazyanga L.
Siziya, Seter
Monze, Mwaka
Cohen, Daniel
author_sort Mazaba, Mazyanga L.
collection PubMed
description BACKGROUND: Rubella is highly under reported in Zambia as in most sub-Saharan countries despite being a disease of major public health concern especially among women of childbearing age. In September 2016, Zambia introduced a combined measles-rubella vaccine in children 0–14 years. In this study, we estimated the proportion positive for acute rubella among suspected but negative measles cases between 2005 and 2016 and determined its correlates for monitoring rubella epidemiology post-rubella vaccine introduction. METHODS: In a retrospective study, 4497 measles IgM negative serum samples from 5686 clinically suspected measles cases were examined for rubella IgM antibodies using the Siemens, Enzygnost® ELISA kit at the national measles laboratory. Data on demographics, year and month of onset were extracted from the surveillance data. Multivariate logistic regression analysis using backward variable selection was conducted to determine independent predictors for acute rubella. The magnitude of association was estimated using adjusted odds ratio with a 95% confidence interval. RESULTS: Overall, a proportion of 29.2% (1313/4497) affecting mostly those between 5 and 24 years was determined. Only age, province, month and year were independently associated with acute rubella. The regional proportions varied from 21.8–37.3% peaking in the month of October. Persons in the age group 10–14 years (Adjusted Odds Ratio [AOR] = 2.43; 95% CI [2.01–2.95]) were more likely while those aged < 1 year less likely (AOR = 0.31; 95% CI [021–0.48]) to have acute rubella compared to those aged 25 years or older. Persons in 2010 were less likely (AOR = 0.12; CI [0.05, 0.28]) to have acute rubella compared to those in 2016. While acute rubella was more likely to occur between July and November compared to December, it was less likely to occur between February and May. CONCLUSIONS: Rubella virus was circulating in Zambia between 2005 and 2016 affecting mostly persons in the age group 5–24 years peaking in the hot dry season month of October. Although vaccination against rubella has been launched, these baseline data are important to provide a reference point when determining the impact of the vaccination program implemented.
format Online
Article
Text
id pubmed-6998197
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-69981972020-02-05 Epidemiology of acute rubella infection in Zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era Mazaba, Mazyanga L. Siziya, Seter Monze, Mwaka Cohen, Daniel BMC Infect Dis Research Article BACKGROUND: Rubella is highly under reported in Zambia as in most sub-Saharan countries despite being a disease of major public health concern especially among women of childbearing age. In September 2016, Zambia introduced a combined measles-rubella vaccine in children 0–14 years. In this study, we estimated the proportion positive for acute rubella among suspected but negative measles cases between 2005 and 2016 and determined its correlates for monitoring rubella epidemiology post-rubella vaccine introduction. METHODS: In a retrospective study, 4497 measles IgM negative serum samples from 5686 clinically suspected measles cases were examined for rubella IgM antibodies using the Siemens, Enzygnost® ELISA kit at the national measles laboratory. Data on demographics, year and month of onset were extracted from the surveillance data. Multivariate logistic regression analysis using backward variable selection was conducted to determine independent predictors for acute rubella. The magnitude of association was estimated using adjusted odds ratio with a 95% confidence interval. RESULTS: Overall, a proportion of 29.2% (1313/4497) affecting mostly those between 5 and 24 years was determined. Only age, province, month and year were independently associated with acute rubella. The regional proportions varied from 21.8–37.3% peaking in the month of October. Persons in the age group 10–14 years (Adjusted Odds Ratio [AOR] = 2.43; 95% CI [2.01–2.95]) were more likely while those aged < 1 year less likely (AOR = 0.31; 95% CI [021–0.48]) to have acute rubella compared to those aged 25 years or older. Persons in 2010 were less likely (AOR = 0.12; CI [0.05, 0.28]) to have acute rubella compared to those in 2016. While acute rubella was more likely to occur between July and November compared to December, it was less likely to occur between February and May. CONCLUSIONS: Rubella virus was circulating in Zambia between 2005 and 2016 affecting mostly persons in the age group 5–24 years peaking in the hot dry season month of October. Although vaccination against rubella has been launched, these baseline data are important to provide a reference point when determining the impact of the vaccination program implemented. BioMed Central 2020-02-03 /pmc/articles/PMC6998197/ /pubmed/32013873 http://dx.doi.org/10.1186/s12879-020-4806-5 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mazaba, Mazyanga L.
Siziya, Seter
Monze, Mwaka
Cohen, Daniel
Epidemiology of acute rubella infection in Zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era
title Epidemiology of acute rubella infection in Zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era
title_full Epidemiology of acute rubella infection in Zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era
title_fullStr Epidemiology of acute rubella infection in Zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era
title_full_unstemmed Epidemiology of acute rubella infection in Zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era
title_short Epidemiology of acute rubella infection in Zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era
title_sort epidemiology of acute rubella infection in zambia during the pre-vaccination period (2005–2016) as a baseline for monitoring rubella epidemiology in the post-rubella vaccine introduction era
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998197/
https://www.ncbi.nlm.nih.gov/pubmed/32013873
http://dx.doi.org/10.1186/s12879-020-4806-5
work_keys_str_mv AT mazabamazyangal epidemiologyofacuterubellainfectioninzambiaduringtheprevaccinationperiod20052016asabaselineformonitoringrubellaepidemiologyinthepostrubellavaccineintroductionera
AT siziyaseter epidemiologyofacuterubellainfectioninzambiaduringtheprevaccinationperiod20052016asabaselineformonitoringrubellaepidemiologyinthepostrubellavaccineintroductionera
AT monzemwaka epidemiologyofacuterubellainfectioninzambiaduringtheprevaccinationperiod20052016asabaselineformonitoringrubellaepidemiologyinthepostrubellavaccineintroductionera
AT cohendaniel epidemiologyofacuterubellainfectioninzambiaduringtheprevaccinationperiod20052016asabaselineformonitoringrubellaepidemiologyinthepostrubellavaccineintroductionera