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Determinants of Schistosoma mansoni in Sanja health center, north West Ethiopia

Overview of attention for article published in BMC Public Health, May 2018
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Title
Determinants of Schistosoma mansoni in Sanja health center, north West Ethiopia
Published in
BMC Public Health, May 2018
DOI 10.1186/s12889-018-5552-0
Pubmed ID
Authors

Asrat Atsedeweyn Andargie, Agmas Sisay Abera

Abstract

In developing countries, Schistosoma mansoni is one of the chronic but neglected tropical diseases. In sub-Saharan Africa, the disease affects over 250 million people with nearly 800 million are at risk. In Ethiopia, Schistosoma mansoni is one of the most prevalent parasitic diseases. The aim of this study was to determine the prevalence and identify the determinant factors of Schistosoma mansoni, in terms of some socio-demographic variables and risk factors. A cross-sectional parasitological survey was conducted at Sanja health center, northwest Ethiopia from June 1 to June 30, 2015. A total of 228 study participants were included in the study. The participants were selected using systematic random sampling technique. Stool specimens were collected and examined using Kato-Katz methods. Structural questionnaires were used to collect data on socio-demographic variables and risk factors by face to face interviews. The major risk factors and demographic determinants of the infection status of Schistosoma mansoni were identified by using descriptive and ordinal logistic regression techniques. The overall prevalence of Schistosoma mansoni was 16.67% (95%CI: 11.83-21.51%). Covariates such as no habit of swimming in rivers has lower risk (AOR = 0.022: 95%CI: 0.011-0.764), no frequency of swimming in rivers (AOR = 0.022: 95%CI: 0.0024-0.207), and 1 to 2 frequency of swimming (OR = 0.302: 95%CI: 0.097-0.941), washing clothes in rivers (AOR = 0.194: 95%CI: 0.046-0.0.811) and bathing in the river (AOR = 0.09: 95%CI: 0.010-0.815) were the most important determinant factors (P-value < 0.5) of Schistosoma mansoni in Sanja health center. In this study, the prevalence of Schistosoma mansoni was found to be high. Swimming habits, frequency of swimming, washing clothes, and bathing in rivers were found to be significant predictors of Schistosoma mansoni. Provisions of a safe water supply in the area and health education about the transmission of the Schistosoma mansoni infection are required.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Student > Bachelor 6 13%
Student > Ph. D. Student 3 7%
Other 2 4%
Lecturer 2 4%
Other 4 9%
Unknown 21 47%
Readers by discipline Count As %
Medicine and Dentistry 8 18%
Nursing and Health Professions 3 7%
Agricultural and Biological Sciences 3 7%
Sports and Recreations 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 7 16%
Unknown 20 44%
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 05 June 2019.
All research outputs
#19,162,324
of 24,400,706 outputs
Outputs from BMC Public Health
#13,467
of 16,125 outputs
Outputs of similar age
#241,958
of 329,808 outputs
Outputs of similar age from BMC Public Health
#290
of 319 outputs
Altmetric has tracked 24,400,706 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,125 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 13th percentile – i.e., 13% 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 329,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.