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Epidemiological and clinical profiles of respiratory syncytial virus infection in hospitalized neonates in Suzhou, China

Overview of attention for article published in BMC Infectious Diseases, October 2015
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Title
Epidemiological and clinical profiles of respiratory syncytial virus infection in hospitalized neonates in Suzhou, China
Published in
BMC Infectious Diseases, October 2015
DOI 10.1186/s12879-015-1155-x
Pubmed ID
Authors

Lianghua Lu, Yongdong Yan, Bin Yang, Zhihui Xiao, Xing Feng, Yuqing Wang, Wei Ji, Maximillion Mize, Chuangli Hao, Zhengrong Chen

Abstract

This study was designed to explore the epidemiological and clinical profiles of respiratory syncytial virus (RSV) infection in neonates from the Suzhou area of China, taking into consideration how climate factors influence disease. From 2010 to 2014, nasopharyngeal aspirates (NPA) collected from hospitalized neonates with lower respiratory tract infections (LRIs) were screened for seven common respiratory viruses including RSV by direct immunofluorescence assay. Human bocavirus, human metapneumovirus, and mycoplasma pneumoniae were detected by polymerase chain reaction. Of the 1803 hospitalized neonates analyzed, 20.74 % were found to be infected with RSV. Interestingly, 30 subjects were identified as being coinfected with other viruses. The rate of RSV infection was highestduring thewinter and early spring seasons; however, infection was negatively associated with monthly mean temperature (rs = -0.821, P < 0.0001), total rainfall (rs = -0.406, P = 0.002), and sum of sunshine (rs = -0.386, P = 0.001). Monthly mean temperature was the only independent factor associated with RSV activity, as determined using multivariate regression analysis. Compared with non-RSV neonates, neonates with RSV infection presented more frequently with tachypnea,moist rales, and abnormal chest X-rays requiring supplemental oxygen and extended hospitalization postpartum. Neonatal admittance into the NICU was determined based on prematurity and coinfection with other viruses; two independent risk factors for RSV disease, as determined by multivariate logistic analysis. Important as a major cause of LRIs in hospitalized neonate, we found that the subtropical climate of the Suzhou area was associated with RSV activity. The identified risk factors ofsevere disease in neonates with RSV infection should be taken into consideration when implementing disease health interventions.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 24%
Student > Doctoral Student 8 16%
Researcher 7 14%
Student > Ph. D. Student 5 10%
Student > Postgraduate 4 8%
Other 6 12%
Unknown 8 16%
Readers by discipline Count As %
Medicine and Dentistry 17 34%
Nursing and Health Professions 6 12%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 2 4%
Other 6 12%
Unknown 13 26%

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 22 October 2015.
All research outputs
#5,423,333
of 6,367,740 outputs
Outputs from BMC Infectious Diseases
#2,808
of 3,025 outputs
Outputs of similar age
#153,952
of 196,198 outputs
Outputs of similar age from BMC Infectious Diseases
#158
of 164 outputs
Altmetric has tracked 6,367,740 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,025 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 196,198 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.