Novel Model Predicts COVID-19 Outbreak Two Weeks Ahead of Time

People’s social behavior, reflected in their mobility data, is providing scientists with a way to forecast the spread of COVID-19 nationwide at the county level. Researchers have developed the first data-driven deep learning model with the potential to predict an outbreak in COVID-19 cases two weeks in advance. Feeding the mobility data to epidemiological forecasting models helps to estimate COVID-19 growth as well as evaluating the effects of government policies such as mandating masks on the spread of COVID-19.

Deaths in the family can shape kids’ educational attainment in unexpected ways

Deaths of family members may trigger ripple effects across family networks, reverberating in the lives of children in complex and, sometimes, unexpected ways.

In a study, the researchers found that deaths in the family can affect the educational attainment of children. That impact most often is negative, but, in certain cases, a family death can improve the chances that children will further their education.

If you’re poor, poverty is an environmental issue

A survey from Cornell researchers – conducted among more than 1,100 U.S. residents – found that there were, in fact, demographic differences in how people viewed environmental issues, with racial and ethnic minorities and lower-income people more likely to consider human factors such as racism and poverty as environmental, in addition to more ecological issues like toxic fumes from factories or car exhaust.