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Frequency and distribution patterns of opportunistic infections associated with HIV/AIDS in Uganda

Overview of attention for article published in BMC Research Notes, December 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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193 Mendeley
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Title
Frequency and distribution patterns of opportunistic infections associated with HIV/AIDS in Uganda
Published in
BMC Research Notes, December 2016
DOI 10.1186/s13104-016-2317-7
Pubmed ID
Authors

John Rubaihayo, Nazarius M. Tumwesigye, Joseph Konde-Lule, Henry Wamani, Edith Nakku-Joloba, Fredrick Makumbi

Abstract

We conducted a study to assess the frequency and distribution patterns of selected opportunistic infections (OIs) and opportunistic cancers (OCs) in different geographical areas before and after HAART in Uganda. This was a cross-sectional serial review of observation data for adult HIV positive patients (≥15 years) enrolled with the AIDS support organization (TASO) in Uganda covering the period from January 2001 to December 2013. Both AIDS defining OIs/OCs and non-AIDS defining OIs were analyzed. The study period was structured into three time periods: "pre- HAART" (2001-2003), "early-HAART" (2004-2008) and "late-HAART" (2009-2013). Descriptive statistics were used to summarize the data by time period, age, gender and geographical location. Chi squared test used to test the significance of the differences in proportions. A total of 108,619 HIV positive patients were included in the analysis. 64% (64,240) were female with median age of 33 years (IQR 27-40). The most frequent OIs before HAART were oral candida (34.6%) diarrhoeal infection (<1 month) (30.6%), geohelminths (26.5%), Mycobacterium tuberculosis (TB) (17.7%), malaria (15.1%) and bacterial pneumonia (11.2%). In early HAART (2004-2008), the most frequent OIs were geohelminths (32.4%), diarrhoeal infection (25.6%), TB (18.2%) and oral candida (18.1%). In late HAART (2009-2013), the most frequent OIs were geohelminths (23.5%) and diarrhoeal infection (14.3%). By gender, prevalence was consistently higher in women (p < 0.05) before and after HAART for geohelminths, candidiasis, diarrhoeal infection, bacterial pneumonia and genital ulcer disease but consistently higher in men for TB and Kaposi's sarcoma (p < 0.05). By age, prevalence was consistently higher in older age groups (>30 years) before and after HAART for oral candida and TB (p < 0.05) and higher in young age groups (<30 years) for malaria and genital ulcers (p < 0.05). By geographical location, prevalence was consistently higher in Eastern and Northern Uganda before and after HAART for diarrheal infection and geohelminths (p < 0.0001). The frequency and pattern of OIs before and after HAART differs by gender, age and geographical location. Prevalence of geohelminths and diarrhea infection(<1 month) remains high especially in Northern and Eastern Uganda even after HAART and should therefore be given special attention in HIV/AIDS care programmes in these settings.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 193 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 13%
Student > Bachelor 22 11%
Researcher 17 9%
Student > Doctoral Student 13 7%
Student > Postgraduate 11 6%
Other 37 19%
Unknown 67 35%
Readers by discipline Count As %
Medicine and Dentistry 53 27%
Nursing and Health Professions 23 12%
Immunology and Microbiology 13 7%
Biochemistry, Genetics and Molecular Biology 7 4%
Pharmacology, Toxicology and Pharmaceutical Science 6 3%
Other 23 12%
Unknown 68 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 14 February 2017.
All research outputs
#4,474,250
of 22,912,409 outputs
Outputs from BMC Research Notes
#694
of 4,270 outputs
Outputs of similar age
#89,989
of 419,655 outputs
Outputs of similar age from BMC Research Notes
#11
of 48 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,270 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 83% of its peers.
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 419,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.