Article: A comprehensive, open-source data model for wastewater-based epidemiology.
2024 Volume 89, Issue 1, Page(s) 1–19
Abstract: The recent SARS-COV-2 pandemic has sparked the adoption of wastewater-based epidemiology (WBE) as a low-cost way to monitor the health of populations. In parallel, the pandemic has encouraged researchers to openly share their data to serve the public ... ...
| Abstract | The recent SARS-COV-2 pandemic has sparked the adoption of wastewater-based epidemiology (WBE) as a low-cost way to monitor the health of populations. In parallel, the pandemic has encouraged researchers to openly share their data to serve the public better and accelerate science. However, environmental surveillance data are highly dependent on context and are difficult to interpret meaningfully across sites. This paper presents the second iteration of the Public Health Environmental Surveillance Open Data Model (PHES-ODM), an open-source dictionary and set of data tools to enhance the interoperability of environmental surveillance data and enable the storage of contextual (meta)data. The data model describes how to store environmental surveillance program data, metadata about measurements taken on various specimens (water, air, surfaces, sites, populations) and data about measurement protocols. The model provides software tools that support the collection and use of PHES-ODM formatted data, including performing PCR calculations and data validation, recording data into input templates, generating wide tables for analysis, and producing SQL database definitions. Fully open-source and already adopted by institutions in Canada, the European Union, and other countries, the PHES-ODM provides a path forward for creating robust, interoperable, open datasets for environmental public health surveillance for SARS-CoV-2 and beyond. |
|||||
|---|---|---|---|---|---|---|
| MeSH term(s) | Wastewater-Based Epidemiological Monitoring ; Environmental Monitoring ; Canada ; Pandemics ; SARS-CoV-2 | |||||
| Language | English | |||||
| Publishing date | 2024-01-12 | |||||
| Publishing country | England | |||||
| Document type | Journal Article | |||||
| ZDB-ID | 764273-8 | |||||
| ISSN | 1996-9732 ; 0273-1223 | |||||
| ISSN (online) | 1996-9732 | |||||
| ISSN | 0273-1223 | |||||
| DOI | 10.2166/wst.2023.409 | |||||
| Shelf mark |
|
|||||
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
More links
Kategorien
In stock of ZB MED Cologne/Königswinter
| Einzelsignatur: Show issues |
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.