↓ Skip to main content

Rubella outbreak in a Rural Kenyan District, 2014: documenting the need for routine rubella immunization in Kenya

Overview of attention for article published in BMC Infectious Diseases, June 2015
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
69 Mendeley
Title
Rubella outbreak in a Rural Kenyan District, 2014: documenting the need for routine rubella immunization in Kenya
Published in
BMC Infectious Diseases, June 2015
DOI 10.1186/s12879-015-0989-6
Pubmed ID
Authors

Ian Njeru, Dickens Onyango, Yusuf Ajack, Elizabeth Kiptoo

Abstract

Rubella infection has been identified as a leading cause of birth defects commonly known as Congenital Rubella Syndrome (CRS). Kenya does not currently have a rubella immunization program nor a CRS surveillance system. In 2014, a rubella outbreak was reported in a rural district in Kenya. We investigated the outbreak to determine its magnitude and describe the outbreak in time, place and person. We also analyzed the laboratory-confirmed rubella cases from 2010 to 2014 to understand the burden of the disease in the country. The Rubella outbreak was detected using the case-based measles surveillance system. A suspected case was a person with generalized rash and fever while a confirmed case was a person who tested positive for rubella IgM. All laboratory-confirmed and epidemiologically linked cases were line listed. The measles case-based surveillance database was used to identify rubella cases from 2010 to 2014. A total of 125 rubella cases were line listed. Fifty four percent of cases were female. Case age ranged from 3 months to 32 years with a median of 4 years. Fifty-one percent were aged less than 5 years, while 82 % were aged less than 10 years. Six percent of the cases were women of reproductive age. All cases were treated as outpatients and there were no deaths. The number of confirmed rubella cases was 473 in 2010, 604 in 2011, 300 in 2012, 336 in 2013 and 646 in 2014. Analysis of Kenya rubella data shows that rubella is endemic throughout the country, and many outbreaks may be underestimated or undocumented. Six percent of all the cases in this outbreak were women of reproductive age indicating that the threat of CRS is real. The country should consider initiating a CRS surveillance system to quantify the burden with the goal of introducing rubella vaccine in the future.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 20%
Student > Bachelor 11 16%
Researcher 7 10%
Student > Ph. D. Student 7 10%
Student > Postgraduate 5 7%
Other 11 16%
Unknown 14 20%
Readers by discipline Count As %
Medicine and Dentistry 19 28%
Nursing and Health Professions 15 22%
Agricultural and Biological Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Social Sciences 4 6%
Other 8 12%
Unknown 14 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2015.
All research outputs
#20,290,425
of 22,826,360 outputs
Outputs from BMC Infectious Diseases
#6,468
of 7,678 outputs
Outputs of similar age
#219,388
of 263,200 outputs
Outputs of similar age from BMC Infectious Diseases
#108
of 113 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,678 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.