5 Questions with COVID Researchers: Leila Hedayatifar, New England Complex Systems Institute
Modeling COVID-19 in the context of optimizing quarantine policy using mobility patterns
Modeling COVID-19 in the context of optimizing quarantine policy using mobility patterns
We are attempting to apply approaches developed in microbial ecology to understand how a viral pathogen such as SARS-CoV-2 can survive and be transmitted in academic environments.
We are designing a public health solution for contact tracing built around digital ecosystems. Our current focus is on improving privacy, user-experience, effectiveness, and adoption of digital contact tracing. With so many issues at forefront, the challenge to solve the contact tracing puzzle is manifold.
People’s ability to understand and personalize threats are key in getting them to adopt protective behaviors. COVID-19 presents a serious threat to health. However, unlike threats from other kinds of hazards, the virus does not offer any visible indication of its threat or presence.
We have a detailed transmission model that specifically focuses on the availability of testing strategies and their effect on the containment and spread of COVID-19, which is amenable to the systematic exploration of a wide range of important “what-if” scenarios.
The Northeast Big Data Hub is delighted to announce our Seed Fund program this month. Designed to promote collaboration in data science, the Seed Fund will encourage the cross-pollination of ideas, data and tools across disciplines and sectors including academia, industry, government, and communities. Funding provided through this program is intended […]
Studying the causes of disease is essential to medical research. However, the discussion is sometimes framed, misleadingly, as ‘nature vs. nurture’—is your condition the result of your genetics or your environment? Generally, the answer is both. But to what degree? A new study in Nature Genetics explores this question for […]
“Leveraging Big Data for Healthcare Revolution” Guest post from Professor Yi Chen, Henry J. Leir Chair in Healthcare, Associate Professor in the Martin Tuchman School of Management (MT-SoM) at New Jersey Institute of Technology (NJIT). On October 5th and 6th, a symposium on Data Science for Healthcare (DaSH), sponsored by the Leir […]
Click here for a PDF version of this release. Click here for the press release from the National Science Foundation (NSF). The National Science Foundation (NSF) has announced $3.3 million in grants to researchers affiliated with the Northeast Big Data Innovation Hub. A common theme underlying the projects below is […]
Data science and biomedicine are a powerful combination, and the Northeast region is well poised to bring them together. The provision of health care and the discovery of biological knowledge are heavily focused on information, with highly complex, vast data sets harboring the potential for transformative impact when partnered with the […]