November 9, 2022 (Honolulu, HI) – Predictive models built collaboratively by the FSM, RMI, and PIHOA, which draw from climate, human, and vector data, will provide the FSM and RMI with lead time to help health officials respond earlier and more effectively to dengue in the islands.

A recent study, published in the peer-reviewed journal The Lancet Planetary Health and authored by an international team of researchers from 15 institutions, assesses the impacts of these barriers and proposes a new way to overcome them using implementation science. The new analysis is based on case studies of early warning systems recently deployed in Peru, Barbados, Ethiopia, and India, as well as the FSM and the RMI for climate-related disease outbreaks or public health risks.

Read the full E-Blast HERE!