Introduction
Respiratory Syncytial Virus (RSV) is a negative-sense, single-stranded RNA virus that causes infections of the lungs and respiratory tract. Most people only have mild, cold-like symptoms and recover quickly, but infants and older adults can develop severe RSV and need hospitalization. RSV is one of the major reasons of hospitalization for respiratory illnesses in infants < 1 year old. For more information about symptoms, risks and vaccination against RSV, visit the corresponding site of the Swedish Public Health Agency.
The data presented on this page is generated in the SLU (Swedish University of Agricultural Sciences) laboratories of SEEC (Swedish Environmental Epidemiology Center). The data and visualisation on this page are usually updated weekly, typically on Mondays. Please refer to the Methods for details on measurements and calculations. All related dashboards can be found on the Wastewater Surveillance page, and sampling sites and project details are available in the Wastewater Monitoring Background.
Visualisations
Code used to produce plot: Script to produce plot.
Commentary from the research group
Commentary:
Reports from the research group
The group provide reports to summarise their latest findings. The latest report is available here (only available in Swedish).
Dataset
Contact: anna.szekely@slu.se and javier.vargas@slu.se
Download the data: Respiratory virus gene copy numbers normalised per PMMoV gene copy number.CSV file. Data are available for RSV from week 32 of 2023; updated weekly.
How to cite the dataset:
Székely, A. J., Malmberg, M., Vargas, J., Mohamed, N., Dafalla, I., Petrini, F., Davies, L. (2023). Dataset of SARS-CoV-2, influenza A and influenza B virus content in wastewater samples from wastewater treatment plants in Sweden. https://doi.org/10.17044/scilifelab.14256317.
Methods
Wastewater is collected from several different treatment plants around the country. For more information about the treatment plants, visit the page about the background of wastewater surveillance. For most cities represented on this page, raw, untreated wastewater samples that are representative of a single day are collected by flow compensated samplers at the wastewater treatment plants (WWTP). Uppsala is the exception, where samples are collected daily, and then combined flow-proportionally into one composite weekly sample for the purpose of analyses.
The viral genomic material from the freshly collected samples is extracted by the direct capture method, using the Maxwell RSC Enviro TNA kit (Promega).
Absolute quantification of the copy numbers of the genome of RSV virus is performed by One-Step RT-qPCR using the assay of Hughes et al. (2022). To correct for variations in population size and wastewater flow, pepper mild mottle virus (PMMoV) is quantified using a modified version of the assay of Zhang et al. (2006). PMMoV is an abundant RNA virus in human faeces and serves as an estimator of human faecal content (Symonds et al., 2019).
The data in the graphs and datafile is presented in three different formats:
- PMMoV normalised RSV content represents the ratio of the copy numbers of RSV and PMMoV measured by the RSV assay and PMMoV-assays, respectively, multiplied by 1000. As the RSV assay provides proxies for RSV virus content in the wastewater and PMMoV is a proxy of the faecal content (which is related to the contributing population), the ratio of the two can be considered to be a proxy for the prevalence of RSV infections in the population of the wastewater catchment area.
- RSV genome copies concentration presents the RSV copy number concentration measured in the wastewater. These data is influenced by the setup of the different wastewater collection nsystems and is therefore not suitable for comparison betwwen sites. The virus concentrations in the wastewater are also influenced by the weather events that impact wastewater flow (e.g., heavy rain or snow melt).
- RSV genome copies/day/inhabitant represents the daily virus amount estimated in the wastewater normalized for the number of inhabitants connected to the system. These data allows for comparison of different sites but some delays in the presentation of these data may occur compared to the other.
How to cite the method:
Isaksson, F., Lundy, L., Hedström, A., Székely, A. J., Mohamed, N. (2022). Evaluating the Use of Alternative Normalization Approaches on SARS-CoV-2 Concentrations in Wastewater: Experiences from Two Catchments in Northern Sweden. Environments, 9, 39. https://doi.org/10.3390/environments9030039.