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Norovirus Dynamics in Wastewater Discharges and in the Recipient Drinking Water Source: Long-Term Monitoring and Hydrodynamic Modeling

Overview of attention for article published in Environmental Science & Technology, October 2016
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Title
Norovirus Dynamics in Wastewater Discharges and in the Recipient Drinking Water Source: Long-Term Monitoring and Hydrodynamic Modeling
Published in
Environmental Science & Technology, October 2016
DOI 10.1021/acs.est.6b02110
Pubmed ID
Authors

Olaf Dienus, Ekaterina Sokolova, Fredrik Nyström, Andreas Matussek, Sture Löfgren, Lena Blom, Thomas J. R. Pettersson, Per-Eric Lindgren

Abstract

Norovirus (NoV) that enters drinking water sources with wastewater discharges is a common cause of waterborne outbreaks. The impact of wastewater treatment plants (WWTPs) on the river Göta älv (Sweden) was studied using monitoring and hydrodynamic modelling. The concentrations of NoV genogroups (GG) I and II in samples collected at WWTPs and drinking water intakes (source water) during one year were quantified using duplex real-time reverse-transcription PCR. The mean (standard deviation) NoV GGI and GGII genome concentrations were 6.2 (1.4) and 6.8 (1.8) in incoming wastewater, and 5.3 (1.4) and 5.9 (1.4) Log10 genome equivalents (g.e.) L^(-1) in treated wastewater, respectively. The reduction at the WWTPs varied between 0.4 and 1.1 Log10 units. In source water, the concentration ranged from below the detection limit to 3.8 Log10 g.e. L^(-1). NoV GGII was detected in both wastewater and source water more frequently during the cold than the warm period of the year. The spread of NoV in the river was simulated using a three-dimensional hydrodynamic model. The modelling results indicated that the NoV GGI and GGII genome concentrations in source water may occasionally be up to 2.8 and 1.9 Log10 units higher, respectively, than the concentrations measured during the monitoring project.

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Mendeley readers

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 > Ph. D. Student 9 18%
Researcher 7 14%
Student > Master 7 14%
Student > Doctoral Student 4 8%
Lecturer 2 4%
Other 7 14%
Unknown 14 28%
Readers by discipline Count As %
Environmental Science 11 22%
Engineering 6 12%
Biochemistry, Genetics and Molecular Biology 4 8%
Agricultural and Biological Sciences 2 4%
Medicine and Dentistry 2 4%
Other 4 8%
Unknown 21 42%
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 11 October 2016.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from Environmental Science & Technology
#19,590
of 20,675 outputs
Outputs of similar age
#287,265
of 327,578 outputs
Outputs of similar age from Environmental Science & Technology
#235
of 248 outputs
Altmetric has tracked 25,377,790 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.
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We're also able to compare this research output to 248 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.