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Research gaps in understanding how climate change will affect arboviral diseases

  • Matthew Baylis (a1)
Abstract

Climate change is widely expected to cause the emergence and spread of vector-borne diseases, and predictive models are needed so that we can be prepared. We developed a climate-sensitive, predictive, model that describes the risk of bluetongue, an arboviral disease of ruminants, which has emerged dramatically in Europe. Developing the predictive bluetongue model led to the identification of numerous gaps in both the understanding and the availability of data. These mostly pertain to the vectors and their interaction with hosts. Closing these gaps will allow better models, with more precise predictions, to be produced. These research gaps apply to many other arboviral diseases as well. As a consequence, there needs to be an increase in research on the vectors that transmit arboviral diseases. Priorities are the training of a new generation of taxonomists, studies on the field biology of potential vectors, and increased coordination of vector surveillance and recording between countries facing similar threats.

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Corresponding author
E-mail: matthew.baylis@liverpool.ac.uk
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Animal Health Research Reviews
  • ISSN: 1466-2523
  • EISSN: 1475-2654
  • URL: /core/journals/animal-health-research-reviews
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