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.
Scientists in Japan have obtained a near-atomic resolution model of an important Ebola virus protein.
Researchers have for the first time imaged the structure of a central component of the Ebola virus at near-atomic resolution. This structure allows the virus to replicate its deadly payload.
By adding dynamic social interactions to the models already used for disease outbreaks and evolution, researchers could better anticipate how a virulent pathogen strain may emerge based on how humans attempt to control the spread of the disease.
It is currently impossible to predict emergence, but feasible and effective to predict the trajectory.
Vector-borne diseases represent complex infection transmission systems; previous epidemiological models have been unable to formally capture the relationship between the ecological limits of vector species and the dynamics of pathogen transmission.
Researchers mapped the worldwide pathways through which yellow fever virus could spread by analyzing global patterns of airline travel, environmental conditions needed for transmission within a city, and countries' requirements for proof of yellow fever vaccination upon entry.
Researchers described a method to quantify sociality in human and animal populations, and the connection between social behavior and infectious disease spread.
Researchers assert that the computer model can calculate the probability that the presence of two Zika cases in an area will lead to an epidemic.
Researchers examined the potential routes of Zika transmission through three factors: air transportation, mosquito occurrences, and the vector competence.