↓ Skip to main content

Detection of dengue virus serotypes 1, 2 and 3 in selected regions of Kenya: 2011–2014

Overview of attention for article published in Virology Journal, November 2016
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
158 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Detection of dengue virus serotypes 1, 2 and 3 in selected regions of Kenya: 2011–2014
Published in
Virology Journal, November 2016
DOI 10.1186/s12985-016-0641-0
Pubmed ID
Authors

Limbaso Konongoi, Victor Ofula, Albert Nyunja, Samuel Owaka, Hellen Koka, Albina Makio, Edith Koskei, Fredrick Eyase, Daniel Langat, Randal J. Schoepp, Cynthia Ann Rossi, Ian Njeru, Rodney Coldren, Rosemary Sang

Abstract

Dengue fever, a mosquito-borne disease, is associated with illness of varying severity in countries in the tropics and sub tropics. Dengue cases continue to be detected more frequently and its geographic range continues to expand. We report the largest documented laboratory confirmed circulation of dengue virus in parts of Kenya since 1982. From September 2011 to December 2014, 868 samples from febrile patients were received from hospitals in Nairobi, northern and coastal Kenya. The immunoglobulin M enzyme linked immunosorbent assay (IgM ELISA) was used to test for the presence of IgM antibodies against dengue, yellow fever, West Nile and Zika. Reverse transcription polymerase chain reaction (RT-PCR) utilizing flavivirus family, yellow fever, West Nile, consensus and sero type dengue primers were used to detect acute arbovirus infections and determine the infecting serotypes. Representative samples of PCR positive samples for each of the three dengue serotypes detected were sequenced to confirm circulation of the various dengue serotypes. Forty percent (345/868) of the samples tested positive for dengue by either IgM ELISA (14.6 %) or by RT-PCR (25.1 %). Three dengue serotypes 1-3 (DENV1-3) were detected by serotype specific RT-PCR and sequencing with their numbers varying from year to year and by region. The overall predominant serotype detected from 2011-2014 was DENV1 accounting for 44 % (96/218) of all the serotypes detected, followed by DENV2 accounting for 38.5 % (84/218) and then DENV3 which accounted for 17.4 % (38/218). Yellow fever, West Nile and Zika was not detected in any of the samples tested. From 2011-2014 serotypes 1, 2 and 3 were detected in the Northern and Coastal parts of Kenya. This confirmed the occurrence of cases and active circulation of dengue in parts of Kenya. These results have documented three circulating serotypes and highlight the need for the establishment of active dengue surveillance to continuously detect cases, circulating serotypes, and determine dengue fever disease burden in the country and region.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 42 27%
Researcher 26 16%
Student > Ph. D. Student 21 13%
Student > Bachelor 14 9%
Student > Doctoral Student 7 4%
Other 21 13%
Unknown 27 17%
Readers by discipline Count As %
Medicine and Dentistry 27 17%
Immunology and Microbiology 24 15%
Agricultural and Biological Sciences 22 14%
Biochemistry, Genetics and Molecular Biology 21 13%
Social Sciences 6 4%
Other 24 15%
Unknown 34 22%

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 10 December 2016.
All research outputs
#6,665,024
of 8,750,501 outputs
Outputs from Virology Journal
#1,380
of 1,738 outputs
Outputs of similar age
#208,148
of 299,545 outputs
Outputs of similar age from Virology Journal
#22
of 28 outputs
Altmetric has tracked 8,750,501 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,738 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 8th percentile – i.e., 8% 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 299,545 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.