With respect to the development of climate-driven epidemic forecasts, efforts are needed to improve the utility of such forecasts for the health sector. Few such forecasts have been operationalised to inform health-sector decision-making. A review of 73 studies that predicted and forecasted Zika virus infections  identified a high degree of variation in access, reproducibility, timeliness and incorporation of uncertainty . A recent systematic review of epidemic forecasting and prediction studies found that no reporting guidelines exist; the development of guidance to improve the transparency, quality and implementation of forecast models in the public health sector was recommended . An earlier review of dengue early-warning models found that few models incorporated both spatial and temporal aspects of disease risk , limiting their potential application as an adaptation strategy by the health sector. Advances have been made in the last decade with respect to modelling and computing tools, increasing access to digital climate information
IPCC
Climate Change 2022: Impacts, Adaptation and Vulnerability
IPCC Report