Predicting how climate change will affect the incidence of infectious diseases would have great public health benefits. But the relationship between climate and disease is extraordinarily complex, making such predictions difficult. Simply identifying correlations and statistical associations between climatic factors and disease won’t be enough, said Princeton University researcher Jessica Metcalf. Instead, researchers need new statistical models that incorporate both climate factors and the climate-disease relationship, accounting for uncertainties in both.