This Dataverse is for Harvard’s Coronavirus researchers to deposit data. Select "new Dataverse" from the "ADD DATA" option on the right to create your own personal space to deposit your research data, or select "new dataset" to just deposit your dataset, without creating your personal space. All submissions have to be "submitted for review" once it is ready for publishing. Publishing will be managed by the Harvard Dataverse Repository data curation team.

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Since March 2020, Harvard has been fast-tracking COVID-related articles deposited in DASH (Digital Access to Scholarship at Harvard).

When you submit your work to DASH, and notify the Office for Scholarly Communication, they put it at the front of the line and make it open access as soon as possible. You can deposit preprints (before peer review), postprints (after peer review), or both. If you have questions about how to do this, or how it fits with your publication plans, please contact the Office for Scholarly Communication.

These recommendations apply to all Harvard coronavirus researchers, not just faculty. They apply even to articles and datasets with non-Harvard co-authors.



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Visualizing the lagged connection between COVID-19 cases and deaths in the United States: An animation using per capita state-level data (January 22, 2020 – July 8, 2020)
Visualizing the lagged connection between COVID-19 cases and deaths in the United States: An animation using per capita state-level data (January 22, 2020 – July 8, 2020)
Feb 16, 2021 - Nancy Krieger Dataverse
Testa, Christian C.; Krieger, Nancy; Chen, Jarvis T.; Hanage, William P., 2021, "Visualizing the lagged connection between COVID-19 cases and deaths in the United States: An animation using per capita state-level data (January 22, 2020 – July 8, 2020)", https://doi.org/10.7910/DVN/0C3BTS, Harvard Dataverse, V1, UNF:6:4WYgCizbBn/o1UiUYwN2gA== [fileUNF]
Data visualizations of the COVID-19 pandemic in the United States often have presented case and death rates by state in separate visualizations making it difficult to discern the temporal relationship between these two epidemiological metrics. By combining the COVID-19 case and death rates into a single visualization we have provided an intuitive f...
US-county level variation in intersecting individual, household and community characteristics relevant to COVID-19 and planning an equitable response: a crosssectional analysis
US-county level variation in intersecting individual, household and community characteristics relevant to COVID-19 and planning an equitable response: a crosssectional analysis
Feb 16, 2021 - Nancy Krieger Dataverse
Taylor, Chin; Kahn, Rebecca; Li, Ruoran; Chen, Jarvis T.; Krieger, Nancy; Buckee, Caroline O.; Balsari, Satchit; Kiang, Mathew V., 2021, "US-county level variation in intersecting individual, household and community characteristics relevant to COVID-19 and planning an equitable response: a crosssectional analysis", https://doi.org/10.7910/DVN/MB2DQA, Harvard Dataverse, V1, UNF:6:XGJOOQx8cDUI8qyYhrNJPg== [fileUNF]
Abstract Background: The spread of Coronavirus Disease 2019 (COVID-19) across the United States confirms that not all Americans are equally at risk of infection, severe disease, or mortality. A range of intersecting biological, demographic, and socioeconomic factors are likely to determine an individual’s susceptibility to COVID-19. These factors v...
COVID-19: US federal accountability for entry, spread, and inequities—lessons for the future
COVID-19: US federal accountability for entry, spread, and inequities—lessons for the future
Feb 16, 2021 - Nancy Krieger Dataverse
Hanage, W.P.; Testa, C.,; Chen, J.T.; Davis, Letitia; Pechter, Elise; Seminario, Peg; Santillana, Mauricio; Krieger, Nancy, 2021, "COVID-19: US federal accountability for entry, spread, and inequities—lessons for the future", https://doi.org/10.7910/DVN/JFKNEO, Harvard Dataverse, V1, UNF:6:PwZVA3sdKQN+K4+/xcIj+w== [fileUNF]
The United States (US) has been among those nations most severely affected by the first—and subsequent—phases of the pandemic of COVID-19, the disease caused by SARS-CoV-2. With only 4% of the worldwide population, the US has seen about 22% of COVID-19 deaths. Despite formidable advantages in resources and expertise, presently the per capita mortal...
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