Antimicrobial resistance is a major threat to human health. Since the 2000s, computational
tools for predicting infectious diseases have been greatly advanced; however, efforts to …

Model diagnostics and forecast evaluation are closely related tasks, with the former
concerning in-sample goodness (or lack) of fit and the latter addressing predictive …

Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in
Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome …

Algorithmic transparency entails exposing system properties to various stakeholders for
purposes that include understanding, improving, and contesting predictions. Until now, most …

SARS-CoV-2 evolution threatens vaccine-and natural infection–derived immunity and the
efficacy of therapeutic antibodies. To improve public health preparedness, we sought to …

Academic researchers, government agencies, industry groups, and individuals have
produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage …

Infectious disease forecasting has been a key focus in the recent past owing to the COVID-
19 pandemic and has proved to be an important tool in controlling the pandemic. With the …

Our ability to forecast epidemics far into the future is constrained by the many complexities of
disease systems. Realistic longer-term projections may, however, be possible under well …

Policymakers everywhere are working to determine the set of restrictions that will effectively
contain the spread of COVID-19 without excessively stifling economic activity. We show that …

Social media, such as Twitter, is a source of exchanging information and opinion on global
issues such as COVID-19 pandemic. In this study, we work with a database of around 1.2 …