↓ Skip to main content

Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda

Overview of attention for article published in BMC Public Health, August 2016
Altmetric Badge

Mentioned by

twitter
4 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
43 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
Forecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda
Published in
BMC Public Health, August 2016
DOI 10.1186/s12889-016-3455-5
Pubmed ID
Authors

John Rubaihayo, Nazarius M. Tumwesigye, Joseph Konde-Lule, Fredrick Makumbi

Abstract

Predicting future prevalence of any opportunistic infection (OI) among persons infected with the human immunodeficiency virus (HIV) on highly active antiretroviral therapy (HAART) in resource poor settings is important for proper planning, advocacy and resource allocation. We conducted a study to forecast 5-years prevalence of any OI among HIV-infected individuals on HAART in Uganda. Monthly observational data collected over a 10-years period (2004-2013) by the AIDS support organization (TASO) in Uganda were used to forecast 5-years annual prevalence of any OI covering the period 2014-2018. The OIs considered include 14 AIDS-defining OIs, two non-AIDS defining OIs (malaria & geohelminths) and HIV-associated Kaposi's sarcoma. Box-Jenkins autoregressive integrated moving average (ARIMA) forecasting methodology was used. Between 2004 and 2013, a total of 36,133 HIV patients were enrolled on HAART of which two thirds (66 %) were female. Mean annual prevalence for any OI in 2004 was 57.6 % and in 2013 was 27.5 % (X(2) trend = 122, b = -0.0283, p <0.0001). ARIMA (1, 1, 1) model was the most parsimonious and best fit for the data. The forecasted mean annual prevalence of any OI was 26.1 % (95 % CI 21.1-31.0 %) in 2014 and 15.3 % (95 % CI 10.4-20.3 %) in 2018. While the prevalence of any OI among HIV positive individuals on HAART in Uganda is expected to decrease overall, it's unlikely that OIs will be completely eliminated in the foreseeable future. There is therefore need for continued efforts in prevention and control of opportunistic infections in all HIV/AIDS care programmes in these settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 19%
Student > Bachelor 8 19%
Other 3 7%
Researcher 3 7%
Lecturer 2 5%
Other 7 16%
Unknown 12 28%
Readers by discipline Count As %
Medicine and Dentistry 14 33%
Nursing and Health Professions 5 12%
Computer Science 4 9%
Immunology and Microbiology 3 7%
Economics, Econometrics and Finance 3 7%
Other 3 7%
Unknown 11 26%
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 21 September 2016.
All research outputs
#15,381,002
of 22,882,389 outputs
Outputs from BMC Public Health
#11,384
of 14,924 outputs
Outputs of similar age
#228,583
of 355,869 outputs
Outputs of similar age from BMC Public Health
#307
of 387 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 16th percentile – i.e., 16% 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 355,869 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.