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Risk factors for asymptomatic malaria infections from seasonal cross-sectional surveys along the China–Myanmar border

Overview of attention for article published in Malaria Journal, July 2018
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

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Risk factors for asymptomatic malaria infections from seasonal cross-sectional surveys along the China–Myanmar border
Published in
Malaria Journal, July 2018
DOI 10.1186/s12936-018-2398-y
Pubmed ID

Yan Zhao, Jie Zeng, Yonghong Zhao, Qingyang Liu, Yang He, Jiaqi Zhang, Zhaoqing Yang, Qi Fan, Qinghui Wang, Liwang Cui, Yaming Cao


Border malaria, a shared phenomenon in the Greater Mekong Sub-region of Southeast Asia, is a major obstacle for regional malaria elimination. Along the China-Myanmar border, an additional problem arose as a result of the settlement of internally displaced people (IDP) in the border region. Since asymptomatic malaria significantly impacts transmission dynamics, assessment of the prevalence, dynamics and risk factors of asymptomatic malaria infections is necessary. Cross-sectional surveys were carried out in 3 seasons (March and April, July and November) and 2 sites (villages and IDP camps) in 2015. A total of 1680 finger-prick blood samples were collected and used for parasite detection by microscopy and nested RT-PCR (nRT-PCR). Logistic regression models were used to explore the risk factors associated with asymptomatic malaria at individual and household levels. The prevalence of asymptomatic Plasmodium infections was 23.3% by nRT-PCR, significantly higher than that detected by microscopy (1.5%). The proportions of Plasmodium vivax, Plasmodium falciparum and mixed-species infections were 89.6, 8.1 and 2.3%, respectively. Asymptomatic infections showed obvious seasonality with higher prevalence in the rainy season. Logistic regression analysis identified males and school children (≤ 15 years) as the high-risk populations. Vector-based interventions, including bed net and indoor residual spray, were found to have significant impacts on asymptomatic Plasmodium infections, with non-users of these measures carrying much higher risks of infection. In addition, individuals living in poorly constructed households or farther away from clinics were more prone to asymptomatic infections. Sub-microscopic Plasmodium infections were highly prevalent in the border human populations from IDP camps and surrounding villages. Both individual- and household-level risk factors were identified, which provides useful information for identifying the high-priority populations to implement targeted malaria control.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 19%
Researcher 12 11%
Student > Ph. D. Student 11 10%
Student > Bachelor 7 7%
Other 5 5%
Other 17 16%
Unknown 35 33%
Readers by discipline Count As %
Medicine and Dentistry 17 16%
Nursing and Health Professions 10 9%
Biochemistry, Genetics and Molecular Biology 9 8%
Social Sciences 6 6%
Agricultural and Biological Sciences 4 4%
Other 18 17%
Unknown 43 40%

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 11 July 2018.
All research outputs
of 13,210,683 outputs
Outputs from Malaria Journal
of 3,860 outputs
Outputs of similar age
of 267,709 outputs
Outputs of similar age from Malaria Journal
of 1 outputs
Altmetric has tracked 13,210,683 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,860 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 267,709 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 52% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them