The team is currently developing computer models that can
predict disease outbreaks in both Latin America and Bangladesh, Colwell says.
It's also a far - reaching and revealing digital «petri dish» to study human behavior that may help
predict disease outbreaks, like HIV, and inform public health efforts, as several studies and social media experts have shown over the last few years.
Not exact matches
«Our research shows that focusing surveillance on viruses in bats, rodents and non-human primates (a «SMART surveillance approach), and understanding what's disrupting these species» ecology is the best strategy to
predict and prevent local
outbreaks and pandemic
disease,» Daszak continued.
Analyzing trends on Twitter and Google can help
predict vaccine scares that can lead to
disease outbreaks, according to a study from the University of Waterloo.
Their mathematical model also
predicted how the Disneyland
outbreak helped push California back from the tipping point by making parents more afraid of the
disease than the vaccine.
They're creating powerful new software that can
predict, simulate and analyze a major
disease outbreak — all in the form of an intuitive, multiplayer game.
Although the Boston Children's team has previously demonstrated that social media can be used to track
disease, this is the first time that they've shown that
outbreaks can be
predicted through an integrated wearable device and online tool.
Climate change is accelerating the spread of
disease — and making it much harder to
predict outbreaks
First, they tried to see if they could
predict outbreaks of contagious
disease.
An improvement on the famous Markowitz theorem may have the potential to not only more accurately
predict the next financial crises, but also the
outbreak of pests and
diseases, or whether a patient will have a heart attack in two hours or not.
Ultimately, the study contributes to our understanding of the complexity inherent to
disease transmission and highlights the importance of changes in behaviour of sick animals for
predicting the outcome of
outbreaks.
Potential
outbreaks of
diseases such as Ebola and Lassa fever may be more accurately
predicted thanks to a new mathematical model developed by researchers at the University of Cambridge.
Oversharing on social media may be annoying, but it could
predict the next
outbreak of sexually transmitted
disease.
Even though using social media to
predict sexually transmitted
disease will never be perfect, if the analysis is carefully carried out it «can provide a lot of information,» says Alessandro Vespignani at Northeastern University, Boston, who was one of the authors of a prominent paper on Google Flu Trends, which used a similar method in an attempt to
predict flu
outbreaks.
Wolfe has devoted his life to fighting worldwide
disease pandemics with an early - warning system that
predicts and controls
disease outbreaks before they kill millions.
The number of schoolchildren not vaccinated against childhood
diseases in Texas is growing rapidly, which means that the state may see its first measles
outbreaks in the winter or spring of 2018, Hotez
predicted in a recent article in PLOS Medicine.
The work supports the Laboratory's Global Security mission area and the Information, Science, and Technology science pillar through the capability to
predict and detect infectious
disease outbreaks.
«Clarifying how
disease outbreaks subside will help us
predict, and respond to, other emerging pathogens in plants, wildlife — and in humans,» Voyles said.
«Our goal is to develop maps that can simulate the abundance of this dengue virus carrier in a particular area, and then use these insights along with demographic and economic data, to
predict where
disease outbreaks are most likely to occur,» he said.
In a recent press release, The National Science Foundation said, «From understanding climate change to
predicting infectious
disease outbreaks to engineering solutions to address disability, scientific research is increasingly crossing the boundaries between disciplines.»
In the Greater Horn of Africa, an area comprising parts of ten countries, new climate models are showing accuracy in
predicting outbreaks of the cattle
disease Rift Valley Fever.