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meeting 2021 01 21
Location: MS Teams
Attendees - Doug Manuel (Chair), Chand Magnat, Audra Nagasawa, Wiley Jennings, Claire Duvallet, Bofu Li, Lev Kearney, Aboubakar Mounchili, Heather Hannah.
Regrets - Carolina Perez-Iracheta - Niels Nicholaï - Howard Swerdfeger, Vince Pileggi, David Champerdon, Peter Vanrolleghem, Benjamin Trueman
| Item No. | Item | Purpose | Speaker | Time (min) |
|---|---|---|---|---|
| 1 | Introduction | Information | All | 10 |
| 2 |
Initial thoughts on Terms of Reference 1. Goal of ODM 2. Role of Steering Committee to reach those goals 3. Approach to reach goals
|
Context for step 3 | All | 5 |
| 3 |
Ontario WW Data V1.0 1. Ready for use? 2. General approach
|
Recommendations for next steps for working groups (further development) and use in the field | All | 35 |
| 4 |
Back to Terms of Reference 1. Purpose and scope of this Steering Committee
|
Discussion | All | 10 |
References
2.1 and 2.2. Terms of reference are not ready and were not discussed. There was agreement for the benefit of an open data model for wastewater-based epidemiology. Goals were deferred for later discussion.
2.3. Approach of the Steering Committee. There was agreement to the open source, open science approach as defined in the agenda and supporting material.
3.1. Most attendees did not review the model in detail, but they will provide feedback. There was acknowledgment that until the model is widely used it is to provide feedback or identify issues. As well, users will understand that breaking changes are likely to occur during initial implementation in a rapidly our developing field of study.
That stated, the current model accommodates the use cases identified by the attendees. Examples of cases that were identified include multiple measurements on a single sample on different days, revising results from previously reported measures, multiple laboratories performing measures on the same sample, or at the same site, and performing measures on pooling samples. There was reassurance that the model can accommodate these scenarios. However, there is value in explaining how to use the data model for various use cases. Furthermore, the complexity comes at the cost of usability. It will be important to provide resources for implementation such as how to, use cases, and templates.
3.2. There was support for the general approach of the data model. The ODM should move forward with the current approach with the following recommendations:
- Provide a more comprehensive viewpoint of wastewater based epidemiology. Show how data within the data model fits within the broader data environment. For example, show how covid-19 case data or other population data such as the census can be combined or inform wastewater-based epidemiology. The multidisciplinary perspective of wastewater-based epidemiology poses a challenge for disciplines to know data and applications across disciplines and fields.
Discussion centred on ensuring representation on the steering committee from all users. It was acknowledged that the development of the data model requires multidisciplinary input. Specific recommendations included more representation in the following areas:
- Geographic representation including from BCCDC and Alberta - both of whom have developed program.
- International involvement - Connect with counties with a well-developed surveillance system.
- Indigenous participation - WBE is an important and of interest to indigenous communities following First Nations Principles of OCAP.
- Provincial public health labs - including BCCDC and PHOL.
- Wastewater-based epidiology labs and engineering.
- Municipal wastewater facilities.