This paper discusses natural and environmental risk communication and presents the
findings of a scoping review that set out to identify campaign experiences, concrete …

Abstract Machine learning (ML) models can simulate flood risk by identifying critical non-
linear relationships between flood damage locations and flood risk factors (FRFs). To …

Drought is a complex phenomenon that is difficult to characterize and monitor. Accurate and
timely communication is necessary to ensure that affected sectors and the public can …

Due to climate change, the frequency and intensity of floods have dramatically increased
worldwide. The innate social inequality has been exposed and even exacerbated by …

Although visual depictions of epidemiological data are not new in public health, the US
public saw more of them during the COVID-19 pandemic than ever before. In this study, we …

Guided by the literature in diffusion of innovations, the technology acceptance model, and
risk information sharing, this paper reports the results of a survey distributed to National …

Disaster planning has historically allocated minimal effort and finances toward advanced
preparedness; however, evidence supports reduced vulnerability to flood events through …