Researchers presented a novel method for risk assessment based on a two-layer temporal network. The method has the ability to assess the risk of Ebola virus disease spreading. Simulation results from the two-layer temporal network confirmed that reduced physical contact with people while travelling along with other preventive measures decreases the risk of Ebola spreading.
Researchers comprehensively mapped the alterations in an influenza protein that allows bird flu to grow better in people. This map may help researchers better understand which changes enable influenza to jump species and may presage a new pandemic.
Typhoid and paratyphoid fever continue to significantly contribute to global morbidity and mortality. Disease burden is higher in low-and middle-income settings where surveillance programs are rare and little systematic information exists at population level.
The Los Alamos National Lab has worked with Descartes Labs to come up with systems for analyzing on-the-ground conditions in Brazil to forecast dengue.
The system comprises a detection tool EpiDefend and forecasting tool EpiFX that use health and environmental data to produce a near real-time assessment of the likely presence of disease and how it might continue to spread, additionally it can be used to protect troops against biological threats and pandemics.
The initiative combines satellite data with ground observations to assess and predict the risk of cholera outbreaks in Bangladesh.
Mosquito control interventions like bed nets and insecticide spraying are best targeted to transmission hotspots.
The Global Virome Project (GVP) seeks to help identify the global viral threat, and provide timely data for public health interventions against future pandemics.
Malawi is using drones to identify hotspots for cholera transmission in the capital, Lilongwe.
A test in Yemen showed satellite data could foresee an outbreak four weeks before it exploded.