[FPU2019] Ecología teórica y Computacional
[FPU2019] Ecología teórica y Computacional
Modelización dinámica de poblaciones de mosquitos vectores de enfermedades e invasores
Modelización dinámica de poblaciones de mosquitos vectores de enfermedades e invasores
This project will use mobile phone positioning, DNA fingerprinting, and citizen science, combined with traditional socio-demographic methods to trace the host-vector biting networks through which mosquitoborne diseases flow and illuminate the behavioural, socio-demographic, and environmental mechanisms that shape these networks in a spatially explicit manner.
Spain stands at a crossroads. The expansion of Ae.albopictus throughout the Iberian Peninsula and the arrival of Ae.aegypti in the Canary Islands have increased the risk of serious outbreaks of dengue, chikungunya, or Zika, in Spain.
Our vision is to establish a Versatile forecasting, nowcasting, and tracking system (VEO) serving as an interactive observatory for the generation and distribution of high quality actionable information for evidence-based early warning, risk assessment and monitoring of Emerging InfectiouOur s Diseases and Antimicrobial resistance by public health actors and researchers in the One-Health domain.VEO will be built by an iterative process between data science and technology experts, disease experts from public health and academia, social scientists, and citizen scientists.