Does Big Data have the flu?

In response to rev­e­la­tions of fail­ures in the Google Flu Trends’ pre­dic­tive capa­bil­i­ties, North­eastern Uni­ver­sity researchers exam­ined how Big Data can best be uti­lized for sci­en­tific gain in a report pub­lished online on Thursday in the journal Science.

When healthy habits become risky business

People tend to adopt risky behav­iors after get­ting vac­ci­nated against trans­mis­sible dis­eases, but how does this behavior affect the spread of infec­tions? In new research, North­eastern fac­ulty are taking a closer look.

3Qs: The effect of antibiotic resistant bacteria

The Cen­ters for Dis­ease Con­trol and Pre­ven­tion recently released a new report on the impact of antibi­otic resis­tant bac­teria on national health. We asked assis­tant pro­fessor Betsy Hirsch to explain its sig­nif­i­cance and what it means for the public.

Study: Antibiotics are unique assassins

In recent years, the notion that there is a single mech­a­nism by which antibi­otics wipe out bac­teria has per­me­ated the field of micro­bi­ology. Now, new research from pro­fessor Kim Lewis and his team ques­tions that hypothesis.

Validation for flu prediction

In 2009, North­eastern Uni­ver­sity net­work sci­en­tist Alessandro Vespig­nani devel­oped a com­pu­ta­tional model that pre­dicted the spread of the H1N1 virus. Three years later, new studies show that these pre­dic­tions were highly accurate.