Dengue has spread throughout the tropical world over the past 60 years and now affects over half the world’s population.
Researchers developed a new methodology that monitors the number of survivors (adaptive capacity) rather than focusing on the confirmed number of cases (impact).
Using 2008-2016 strain data, researchers demonstrated that genetic networks of salmonella pathogens are linked through just a few degrees of separation, indicating an increasing severity of future epidemics.
Scientists have identified a way to provide more detailed information on malaria transmission both locally and across borders.
Researchers from North Carolina State University have developed an algorithm that could give pig farms advance notice of porcine epidemic diarrhea virus (PEDv) outbreaks. The proof-of-concept algorithm has potential for use in real-time prediction of other disease outbreaks in food animals.
The Biodefense Policy Landscape Analysis Tool can be utilized to better understand the current state of the US biodefense enterprise.
Researchers identified space-time clusters of dengue, chikungunya, and Zika, to understand the dynamics and interaction between these simultaneously circulating arboviruses in a densely populated and heterogeneous city.
Scientists will conduct research in two national parks in southern Africa that differ in the timing and severity of anthrax outbreaks. They will investigate the roles of host, pathogen and environment to understand how the pathogen-host interaction evolves and contributes to the differences in anthrax occurrences in the two study areas.
Driven by Earth Observations in Vietnam, D-MOSS (Dengue Mosquito Simulation from Satellites) is a dengue virus early warning system for Vietnam.
Researchers believe this method of fitting models to data offers a generic approach that can deliver rapid results in real time during a range of future outbreaks.