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Applying tuberculosis management time to measure the tuberculosis infectious pool at a local level in Ethiopia

Overview of attention for article published in Infectious Diseases of Poverty, November 2017
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Mentioned by

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3 tweeters

Citations

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2 Dimensions

Readers on

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18 Mendeley
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Title
Applying tuberculosis management time to measure the tuberculosis infectious pool at a local level in Ethiopia
Published in
Infectious Diseases of Poverty, November 2017
DOI 10.1186/s40249-017-0371-6
Pubmed ID
Authors

Senedu Bekele Gebreegziabher, Gunnar Aksel Bjune, Solomon Abebe Yimer

Abstract

Measuring the size of the infectious pool of tuberculosis (TB) is essential to understand the burden and monitor trends of TB control program performance. This study applied the concept of TB management time to estimate and compare the size of the TB infectious pool between 2009 and 2014 in West Gojjam Zone of Amhara Region, Ethiopia. New sputum smear-positive and smear-negative pulmonary TB (PTB) and retreatment cases who attended 30 randomly selected public health facilities in West Gojjam Zone from October 2013 to October 2014 were consecutively enrolled in the study. In order to determine the infectious period, the TB management time (number of days from the onset of cough until start of anti-TB treatment) was computed for each patient category. The number of undiagnosed TB cases was estimated and hence the TB management time for the undiagnosed category was calculated. The total size of the TB infectious pool during the study period for the study zone was estimated as the annual number of infectious person days. New smear-positive and smear-negative PTB cases contributed 25,050 and 12,931 infectious person days per year to the TB infectious pool, respectively. The retreatment and presently undiagnosed cases contributed 8840 and 34,310 infectious person days per year, respectively. The total size of the TB infectious pool in West Gojjam Zone during the study period was estimated at 81,131 infectious person days per year or 3405 infectious person days per 100,000 population per year. Compared to a similar study done in 2009 in the study area, the current study showed reduction of the TB infectious pool by 244,279 infectious person days. TB management time is a simple and practical tool that may help to estimate and compare the changes in the size of the TB infectious pool at local level. It may also be used as an indicator to monitor the changes in TB control program performance.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 17%
Lecturer 3 17%
Student > Bachelor 2 11%
Student > Master 2 11%
Unspecified 1 6%
Other 4 22%
Unknown 3 17%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Nursing and Health Professions 3 17%
Agricultural and Biological Sciences 2 11%
Unspecified 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 5 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 November 2017.
All research outputs
#7,307,229
of 12,172,179 outputs
Outputs from Infectious Diseases of Poverty
#237
of 420 outputs
Outputs of similar age
#170,380
of 332,708 outputs
Outputs of similar age from Infectious Diseases of Poverty
#16
of 33 outputs
Altmetric has tracked 12,172,179 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 420 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 38th percentile – i.e., 38% 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 332,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.