Problem solving using scenarios/Résolution de problèmes au moyen de scénarios

Scenario 1: Pandemic Use of geospatial and earth observation data in responding to a pandemic: How can they improve preparedness and responses, and are there lessons from previous pandemics? Scenario 2: Mosquito-borne... [ view full abstract ]

Scenario 1: Pandemic
Use of geospatial and earth observation data in responding to a pandemic: How can they improve preparedness and responses, and are there lessons from previous pandemics?

Scenario 2: Mosquito-borne diseases
What are the earth observation proxies for environmental determinants of risk from mosquito borne diseases and how can these be used to improve public health responses?

Scenario 3: Microbial water contamination
There are several gaps that impede progress in using remote sensing to quantify bacterial contamination of water and to contribute effectively to early warning or reporting activities. What are the critical EO data requirements for addressing coastal-marine and microbial contamination?

Scenario 4: Air quality and chronic conditions
Outdoor air pollution affects much of the population in urban areas. What are the critical EO data requirements for assessing human exposure to air-borne contaminants and their contribution to chronic illnesses?

Scenario 5: Vulnerable human population
The capacity of humans to respond to, and recover from, adverse events or health threats will depend on many factors, such as social, behavioral, natural and engineered systems. What EO data and tools can be used to identify vulnerable human population?

Scenario 6: Tick-borne diseases
Lyme disease is the most commonly reported vector-borne disease in the temperate zone. Can we identify suitable EO-derived information sources that can help predict timing of risk (seasonality, climate change) and geographic occurrence of Lyme disease risk?

Each scenario discussion will be facilitated by an expert in the field. A predefined list of questions will be addressed during the scenario discussion