Researchers quantify the role of the pandemic in the 2020 U.S. Elections

In the media, a prevalent narrative is that Donald Trump lost the 2020 elections because of the way he handled the COVID-19 pandemic. Several researchers determined that Trump would have won the electoral vote and lost the popular vote, as he did in 2016, if the pandemic had not occurred or if it had been mitigated.

Genetic Ancestry Versus Race Can Provide Specific, Targeted Insights to Predict and Treat Many Diseases

The complex patterns of genetic ancestry uncovered from genomic data in health care systems can provide valuable insights into both genetic and environmental factors underlying many common and rare diseases, according to a team of Mount Sinai researchers.

Models show how COVID-19 cuts a neighborhood path

A research team led by UC Irvine and the University of Washington has created a new model of how the coronavirus can spread through a community. The model factors in network exposure — whom one interacts with — and demographics to simulate at a more detailed level both where and how quickly the coronavirus could spread through Seattle and 18 other major cities.

Reducing the risk to children’s health in flood-prone areas of India

Monsoon rainfall has become more unpredictable in India. Floods and droughts have become more common and pose multiple risks to human health and wellbeing, with children under five being particularly vulnerable. New research finds that more assistance needs to be provided to communities in flood-prone areas to protect children under five from undernutrition.

By Christine Clark Feb 06, 2020 Subscribe A Nation Dangerously Divided: Race Shapes Who Wins and Who Loses in U.S. Democracy

Race is shown to be the single most important factor in American democracy, determining which candidates win elections, which voters win at the polls, and who is on the losing end of policy. These conclusions are at the center of a new book Dangerously Divided: How Race and Class Shape Winning and Losing in American Politics,” by Zoltan Hajnal of UC San Diego.