Understanding the drivers of surgical site infection: Investigating and modeling the Swissnoso surveillance data

assignment_turned_inproject01 Aug 2018(Started)-31 Oct 2022(Ended)Closed

Funder: Swiss National Science FoundationProject code: 179500

Funded under: Projects | Project funding Funder Contribution: 639,562

visibility

download

views

downloads

Understanding the drivers of surgical site infection: Investigating and modeling the Swissnoso surveillance data

- Summary
- DMPs
- Metrics

Partners

University Hospital of Bern , UB

Data Management Plans

Start a new DMP in Argos

Usage byUsageCounts
visibility views 7
download downloads 9
7
views
9
downloads
Powered by

Found an issue? Give us feedback

Select content type to embed

All Research products

arrow_drop_down

<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=snsf________::52e6bbef0b9021a67621b90580c6c4cb&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Understanding the drivers of surgical site infection: Investigating and modeling the Swissnoso surveillance data

Understanding the drivers of surgical site infection: Investigating and modeling the Swissnoso surveillance data

Loading