| Project title |
METHANE EARLY WARNING NETWORK (ME-NET) |
| Funding body |
Welcome Trust |
| Total funding |
£100, 000 |
| Team |
- Dr Harriet Moore, University of Lincoln, UK
- Dr John Atanbori, University of Lincoln, UK
- Prof Niro Siriwardena, University of Lincoln, UK
- Prof Mark Gussy, University of Lincoln, UK
- Dr Ebenezer Amankwaa, University of Ghana and Future Africa, Ghana
- Dr Joseph Akanuwe, University of Lincoln, UK
- Dr Mame Yaa Nyarko, Ghana Health Services, Ghana
- Dr Mary Ashinyo, Ghana Health Services, Ghana
- Braimah Rabiu Farouk, People’s Dialogue, Accra, Ghana
- Dr Ama Boadu, Ghana Health Service, Ghana
|
| Overarching aim |
To pilot an integrated data platform (ME-NET) for regions with varying environmental and health data availability and quality, and with varying sources of methane super-emitters for, a) developing data synthesis approaches that are globally applicable, and b) training methane ‘early warning’ models that are robust to regional contexts. |
| Objectives |
To address the following research questions:
- To what extent can Deep Learning (DL) be used to develop an ozone early warning system that incorporates health data in two regions of the world with a) higher and, b) lower/middle income, reflecting wider global variation in data availability and quality?
- What are the most relevant health measures for exploring physical and mental health emergencies associated with methane and ozone concentrations in the two regions, and is it viable to use DL to predict rates of emergencies associated with air quality?
- What user functions would improve the visibility of climate change impacts, and how deliverable are these, given data availability and quality in regions?
|
| Methods |
Mixed methods involving:
- Development of an integrated data platform (ME-NET)
- Collection and analysis of observational, retrospective and near real-time health and environmental data
- Collection and analysis of data on lived experienced self-reported symptoms.
|
| Outcomes |
Development of:
- A Methane-Network (ME-NET) Dashboard for exploration, mitigation and adaptation
- An Early-warning ozone update system
- Opportunity for research and economic/political decision making
- Opportunities for tailored health protection recommendations via community and local health services
- Enhancing individual science/health literacy, health autonomy and health protection behaviour.
|
| Outputs |
Report for funder
Peer reviewed publications
Conference presentations |
| Impact |
Improved regional health investment, policy and corporate lobbying for climate change mitigationCommunity and local health promotion, protection, improvement and climate change adaption. |
