Presented at the DTRA Chemical and Biological Defense Science and Technology Conference, December 2024
Outbreaks of infectious diseases following weather events are frequently reported, but only after disease occurs in affected populations; often late in the epidemiological curve. As climate change spurs more frequent and severe weather events, the need also increases for weather-related arbovirus outbreak predictive modeling supported by high-quality underlying data sources. Noblis hypothesizes that the capacity to predict weather-correlated outbreaks would improve defense mission readiness and reduce morbidity and mortality. Our tool bridges the gap between data analysis and actionable information for vector-borne diseases. By translating the arbovirus risk factors present in the ecosystem into prescriptive steps. This capability will provide users suggested actions that are based on their existing SOPs and the probability of an outbreak occurring after a weather event to facilitate timely, effective remediations.