Berkeley Lab researchers will lead a three-year, $12 million effort to create a generalized exascale tool for epidemiological modeling Epidemiological models are indispensable tools for predicting, ...

Artificial intelligence is increasingly being woven into public health research, from accelerating systematic reviews to enhancing disease modeling. By combining AI’s data-mining power with ...

Inspired by tensions between health and financial well-being during the COVID-19 pandemic, a new model could significantly improve predictions of how disease will spread by acknowledging the tradeoffs ...

In a recent study published in The Lancet Regional Health, researchers evaluate the impact of temporal data aggregation on estimating the temperature-mortality relationship in Europe using weekly and ...

Picture thousands of undergraduate students unpacking their bags at an isolated Brown University campus free from outside contact amid the COVID-19 pandemic. In this simplified scenario, a certain ...

During the COVID-19 pandemic, Latin American and Caribbean countries implemented stringent public health and social measures that disrupted economic and social activities. This study used an ...

In a recent study published in the journal Infectious Diseases of Poverty, researchers used transmission-locality data for Oropouche virus (OROV) and high-resolution vegetation phenology from ...

The convergence of rapid environmental change and emerging infectious diseases presents an urgent challenge for global public health. Harnessing advances in ...

Real-world outcomes with adjuvant nonsteroidal aromatase inhibitors (NSAIs) vs tamoxifen (TAM) in patients with hormone receptor−positive/human epidermal growth factor receptor 2−negative (HR+/HER2−) ...

In 2019, the UN Scientific Committee on the Effects of Atomic Radiation (UNSCEAR), whose mandate is to undertake scientific ...