The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.

Large-scale collection of data could help curb the COVID-19 pandemic, but it should not neglect privacy and public trust. Best practices should be identified to maintain responsible data-collection and data-processing standards at a global scale.

COVID-19 has affected vulnerable populations disproportionately across China and the world. Solid social and scientific evidence to tackle health inequity in the current COVID-19 pandemic is in urgent need.

Secondary use of patient health data can be a boon for medical research and development, but only if researchers can cultivate patient trust in the system.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

People with obesity commonly face a pervasive, resilient form of social stigma. They are often subject to discrimination in the workplace as well as in educational and healthcare settings. Research indicates that weight stigma can cause physical and psychological harm, and that affected individuals are less likely to receive adequate care. For these reasons, weight stigma damages health, undermines

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

In an increasingly hyper-polarized world, the weight of public perception can dissuade policymakers from implementing scientifically sound health policies. The scientific community has a responsibility to make facts outweigh opinion.