The Group on Earth Observations (GEO) Health Community of Practice is pleased to host the next community teleconference on Tuesday, October 1 from 8:30-10:00AM EDT (GMT-4). This telecon will offer a follow-up dialogue on dengue prediction models from the "Earth Observations for Managing Dengue in the Americas" Workshop held at AmeriGEO Week 2024. With significant participation and institutional commitments from representatives and specialists from different disciplines, institutions, and countries, the Dengue Workshop underscored the critical power of Earth observations to support data-driven decision-making and adapt for a resilient future.
With the complex dynamics of vector-borne diseases and the cascading impacts across human, animal, and environmental health, cross-cutting collaboration, data interoperability, and interdisciplinary knowledge exchange were the essential key takeaways to bolster public institutional capacity and effectively address dengue and other vector-borne disease management practices in Ecuador. Convening the multidisciplinary expertise across the Ministry of Health, hydrometeorological services, environmental monitoring, research, and academia, the institutional commitments and the development of robust collaborative pathways moving forward have been the key impacts from the Dengue Workshop. We hope the exciting opportunities and cross-cutting skillsets from the Dengue Workshop can provide robust pathways for our AmeriGEO Week 2024 activities to help other countries manage dengue and other vector-borne infectious diseases.
Agenda
What updates do we have on our dengue initiatives since AmeriGEO Week 2024?
What are the end goals and priorities that we would like to achieve from the Dengue Workshop outcomes?
What key deliverables do we want from the institutional commitments and collaborative efforts with this Dengue Workshop?
How should we schedule our team communications?
Ali Shafqat Akanda (Univ. of Rhode Island) will share his active dengue modeling/forecasting efforts for the Americas, involving an interdisciplinary team of social scientists, computer scientists, vector ecologists, and hydrologists.