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Modeling Culicoides abundance in mainland France: implications for surveillance.

Pierre VillardFacundo MuñozThomas BalenghienThierry BaldetRenaud LancelotViviane Hénaux
Published in: Parasites & vectors (2019)
Although the data were collected for surveillance purposes, our modeling approach integrating vector data with daily temperatures, which are known to be major drivers of Culicoides spp. activity, provided areas-specific predictions of Culicoides spp. abundance. Our findings provide decisions makers with essential information to identify risk periods in each vector zone and guide the allocation of resources for surveillance and control. Knowledge of Culicoides spp. dynamics is also of primary importance for modeling the risk of establishment and spread of midge-borne diseases in mainland France.
Keyphrases
  • public health
  • electronic health record
  • big data
  • antibiotic resistance genes
  • physical activity
  • machine learning
  • data analysis
  • health information
  • deep learning