Swedish Environmental Epidemiology Center

The health status of human populations is reflected in chemical and biological imprints left on their environment. The Swedish Environmental Epidemiology Center (SEEC) measures and deciphers these environmental health signals to facilitate response to current and emerging pandemics, improve public health and assist epidemiological research.

Wastewater-based Epidemiology (WBE). (1-2) Raw sewage samples of human populations are collected from wastewater treatment plants or other hubs. (3-5) Results of wastewater analyses assist public health response.Source: SciLifeLab Data Centre.

Pandemic Preparedness for Environmental Pathogen Detection

SEEC is a national capacity-building center that bridges the current gap between epidemiology and environmental assessment. It provides for rapid and effective response to detected pathogens as well as population level epidemiology. SEEC also stands for the standardization of molecular and experimental methods for continuous assessment of known and emerging pathogens of concern in Sweden.

Our aim is to provide:

  • Continued and extended wastewater-based monitoring of the ongoing Covid-19 pandemic
  • Pathogen profiling of the built environment and expanded sampling capacity
  • Help for infection transmission risk assessment in public places
  • An accessible repository of environmental samples of public health relevance
  • Capacity for environmental epidemiology research and development.

SEEC, a multidisciplinary environmental epidemiology center

Building on capacities and knowledge of four universities


The Covid-19 pandemic showed that Sweden has a gap between epidemiology and environmental assessment. To bridge this gap researchers from four Swedish universities (SLU, KTH, KI and Uppsala University) initiated the establishment of SEEC. SEEC provides a broad capability and network within pathogen detection, viability assessment and predictive modelling. SEEC encompasses various nodes and support structures for quantitative, genomic and viability analyses. 

Nodes

  • SLU (Wastewater, Water, Surface, Air & Viability testing)
    • Researcher: Maja Malmberg
    • Researcher: Anna J. Székely
    • Researcher: Klas Udekwu
    • Lab engineer: Nahla Mohamed
  • KTH (Wastewater & Sludge)
    • Researcher: Zeynep Çetecioğlu Gürol
    • Lab engineer: Mariel Perez-Zabaleta
  • Karolinska Institutet (Air & Viability testing)
    • Researcher: Antonio Gigliotti Rothfuchs
    • Lab engineer: Nuno Ramos Rufino de Sousa
  • Uppsala University (Statistical modelling)
    • Researcher: Stefan Engblom

Support

  • Biosafety Level 3 laboratory (BSL3) at Biomedicum/KI
  • Zoonosis at SLU Faculty of Veterinary Medicine and Animal Health
  • Clinical Epidemiology at the Clinical Hospital of Uppsala University
  • Environmental sample repository at KI, KTH, SLU
  • Wastewater technologies at KTH

Pathogen profiling services and pandemic monitoring

Unique tool set for environmental sampling and analyses of health related markers

SEEC provides weekly data on the wastWastewater-based Epidemiology: SEEC actively monitors wastewater levels of the virus responsible for Covid-19 disease, SARS-CoV-2, in various municipalities of Sweden, covering more than 25% of the population. This data is continuously updated and freely accessible on the Covid-19 Data Portal of Sweden.

SEEC offers analysis of diverse environmental samples (e.g., water including wastewater, surface samples, air samples), for presence of pathogens, using both targeted approaches such as qPCR or amplicon sequencing as well as unbiased metagenomics approaches.

Built Environment Epidemiology: SEEC is involved in the worldwide analysis and profiling of built environment surfaces and air, with intermittent sampling of air in clinics, schools, subways, and indoor malls. Through an extensive network, datasets, sampling methods and analysis pipelines are readily available for comparative studies of environmental signals.

SEEC also offers support in experimental design, sampling, logistics, storage and other monitoring relevant processes.

For more information contact:

Contact us

To improve your experience with the Scilifelab website, we use cookies. To find out more, read our cookie policy.
Manage cookiesAccept
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
SAVE & ACCEPT