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The National COVID Cohort Collaborative (N3C) is an open science effort led by the NIH National Center for Advancing Translational Sciences aimed at accelerating COVID-19 research

Political affiliation has emerged as a potential risk factor for COVID-19, amid evidence that Republican-leaning counties have had higher COVID-19 death rates than Democrat- leaning counties and evidence of a link between political party affiliation and vaccination views.

To learn from the evolving lessons of addressing the COVID-19 pandemic and to bolster the future use of real-world data (RWD) and real-world evidence (RWE), The FDA Foundation, in collaboration with the International Society for Pharmacoepidemiology (ISPE), created The COVID-19 Real-World Evidence Primer.

Wataru Ando, Takeshi Horii, Takayuki Uematsu, Hideaki Hanaki, Koichiro Atsuda & Katsuya Otori The impact of overlapping risk factors on coronavirus disease (COVID-19) severity is unclear. To evaluate the impact of type 2 diabetes (T2D) and obesity on COVID-19 severity, we conducted a cohort study with 28,095 anonymized COVID-19 patients using data from the COVID-19 Research Database from January 1, 2020 to November 30, 2020.

Jacob Wallace, PhD; Anthony Lollo, PhD; Chima D. Ndumele, PhD In the US, COVID-19 is responsible for hundreds of thousands of excess deaths,1 which has led to considerable interest in strategies to mitigate its impact.

Jane M. Zhu, Renae Myers, K. John McConnell, Ximena Levander, and Sunny C. Lin The COVID-19 pandemic disrupted mental health services delivery across the US, but the extent and implications of these disruptions are unclear.

Despite high effectiveness of COVID-19 vaccines in the real-world, there have been cases of fully vaccinated patients contracting COVID.

In the early days of the pandemic, Datavant recognized a pressing need for national insight about COVID-19.

Explore health data available through Datavant’s ecosystem partners and its value in accelerating research, improving care, and more.