Seasonal forecasting and health impact models: Challenges and opportunities

Joan Ballester, Rachel Lowe, Peter J. Diggle, Xavier Rodó

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


After several decades of intensive research, steady improvements in understanding and modeling the climate system have led to the development of the first generation of operational health early warning systems in the era of climate services. These schemes are based on collaborations across scientific disciplines, bringing together real-time climate and health data collection, state-of-the-art seasonal climate predictions, epidemiological impact models based on historical data, and an understanding of end user and stakeholder needs. In this review, we discuss the challenges and opportunities of this complex, multidisciplinary collaboration, with a focus on the factors limiting seasonal forecasting as a source of predictability for climate impact models.

Original languageEnglish (US)
JournalAnnals of the New York Academy of Sciences
StateAccepted/In press - 2016
Externally publishedYes


  • Climate services
  • Climate variability
  • Health impacts
  • Seasonal forecasting
  • Statistical models

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • History and Philosophy of Science


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