Dataset Information

Strategies for elimination of rubella in pregnancy and of congenital rubella syndrome in high and upper-middle income countries.

ABSTRACT: Rubella infection generally leads to mild symptoms; otherwise, in pregnant women it can cause severe damages. The only way to prevent rubella is vaccine. Before the introduction of the vaccine, up to 4 babies in 1000 live births were born with CRS. This work aims to review the most important strategies for the elimination of CRS in upper and high-income countries. Papers were selected through a PubMed search up to January 2019, using keywords rubella, congenital rubella syndrome and epidemiology. Articles published in the last 12 years and referred to upper income and high-income countries in title or abstract were included. Sixty-five papers were selected dealing with one or more of the following strategies: increasing of rubella vaccination coverage in childbearing age women, males, immigrants; exploitation of all appropriate occasions; improving of rubella surveillance. Despite numerous suggestions and indications for valid strategies to eliminate rubella in pregnancy and congenital rubella syndrome, a practical application is often missing.

SUBMITTER: Terracciano E

PROVIDER: S-EPMC7225652 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Strategies for elimination of rubella in pregnancy and of congenital rubella syndrome in high and upper-middle income countries.

Terracciano E E Amadori F F Pettinicchio V V Zaratti L L Franco E E

Journal of preventive medicine and hygiene 20200301 1

Rubella infection generally leads to mild symptoms; otherwise, in pregnant women it can cause severe damages. The only way to prevent rubella is vaccine. Before the introduction of the vaccine, up to 4 babies in 1000 live births were born with CRS. This work aims to review the most important strategies for the elimination of CRS in upper and high-income countries. Papers were selected through a PubMed search up to January 2019, using keywords rubella, congenital rubella syndrome and epidemiology ...[more]

PMID: 32490275

Similar Datasets

Project description:BackgroundUnderstanding subnational variation in age-specific fertility rates (ASFRs) and total fertility rates (TFRs), and geographical clustering of high fertility and its determinants in low-income and middle-income countries, is increasingly needed for geographical targeting and prioritising of policy. We aimed to identify variation in fertility rates, to describe patterns of key selected fertility determinants in areas of high fertility.MethodsWe did a subnational analysis of ASFRs and TFRs from the most recent publicly available and nationally representative cross-sectional Demographic and Health Surveys and Multiple Indicator Cluster Surveys collected between 2010 and 2016 for 70 low-income, lower-middle-income, and upper-middle-income countries, across 932 administrative units. We assessed the degree of global spatial autocorrelation by using Moran's I statistic and did a spatial cluster analysis using the Getis-Ord Gi* local statistic to examine the geographical clustering of fertility and key selected fertility determinants. Descriptive analysis was used to investigate the distribution of ASFRs and of selected determinants in each cluster.FindingsTFR varied from below replacement (2·1 children per women) in 36 of the 932 subnational regions (mainly located in India, Myanmar, Colombia, and Armenia), to rates of 8 and higher in 14 subnational regions, located in sub-Saharan Africa and Afghanistan. Areas with high-fertility clusters were mostly associated with areas of low prevalence of women with secondary or higher education, low use of contraception, and high unmet needs for family planning, although exceptions existed.InterpretationSubstantial within-country variation in the distribution of fertility rates highlights the need for tailored programmes and strategies in high-fertility cluster areas to increase the use of contraception and access to secondary education, and to reduce unmet need for family planning.FundingWellcome Trust, the UK Foreign, Commonwealth and Development Office, and the Bill & Melinda Gates Foundation.

Dataset Information

Strategies for elimination of rubella in pregnancy and of congenital rubella syndrome in high and upper-middle income countries.

Publications

Strategies for elimination of rubella in pregnancy and of congenital rubella syndrome in high and upper-middle income countries.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure