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Prevalence and associated determinants of malaria parasites among Kenyan children

Overview of attention for article published in Tropical Medicine and Health, October 2017
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339 Mendeley
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Title
Prevalence and associated determinants of malaria parasites among Kenyan children
Published in
Tropical Medicine and Health, October 2017
DOI 10.1186/s41182-017-0066-5
Pubmed ID
Authors

Marufa Sultana, Nurnabi Sheikh, Rashidul Alam Mahumud, Tania Jahir, Ziaul Islam, Abdur Razzaque Sarker

Abstract

Approximately 80% of deaths attributed to malaria worldwide occurred mainly in Africa in 2015. Kenya is one of the major malaria endemic countries, making malaria the leading public health concern in this country. This study intended to document the prevalence of malaria and determine associated factors including socioeconomic status among children aged 6 months to 14 years in Kenya. This study analyzed the secondary data extracted from the 2015 Kenya Malaria Indicator Survey (KMIS), a cross-sectional country representative survey. Associations of demographic, socioeconomic, community-based, and behavioral factors with the prevalence of malaria in children were analyzed using multivariable logistic regression analysis. Data from 7040 children aged 6 months to 14 years were analyzed. The prevalence of malaria showed an upward trend in terms of age, with the highest prevalence among children aged 11-14 years. Prevalence was also higher among rural children (10.16%) compared to urban children (2.93%), as well as poor children (11.05%) compared to rich children (3.23%). The likelihood of having malaria was higher among children aged 10-14 years (AOR = 4.47, 95% CI = 3.33, 6.02; P < 0.001) compared with children aged under 5 years. The presence of anemia (AOR = 3.52, 95% CI = 2.78, 4.45; P < 0.001), rural residence (AOR = 1.71, 95% CI = 1.31, 2.22; P < 0.001), lack of a hanging mosquito net (AOR = 2.38, 95% CI = 1.78, 3.19; P < 0.001), primary education level of the household head (AOR = 1.15, 95% CI = 1.08, 2.25; P < 0.05), and other factors, such as the household having electricity and access to media such as television or radio, were also associated with the likelihood of infection. This study demonstrated the need to focus on awareness programs to prevent malaria and to use existing knowledge in practice to control the malaria burden in Kenya. Furthermore, this study suggests that improving the information available through the mass media and introducing behavior change communication and intervention program specifically for those of poor socioeconomic status will help to reduce malaria cases.

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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 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 339 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 64 19%
Researcher 38 11%
Student > Bachelor 32 9%
Student > Ph. D. Student 21 6%
Student > Postgraduate 17 5%
Other 44 13%
Unknown 123 36%
Readers by discipline Count As %
Medicine and Dentistry 47 14%
Nursing and Health Professions 39 12%
Social Sciences 23 7%
Agricultural and Biological Sciences 20 6%
Biochemistry, Genetics and Molecular Biology 17 5%
Other 60 18%
Unknown 133 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 December 2017.
All research outputs
#14,605,790
of 25,382,440 outputs
Outputs from Tropical Medicine and Health
#166
of 441 outputs
Outputs of similar age
#165,300
of 338,323 outputs
Outputs of similar age from Tropical Medicine and Health
#7
of 12 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 441 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 61% 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 338,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.