COVID-19 Case Dashboards
COVID-19 Vaccine Dashboards
Virginia has relied on science, timely data, and continually changing trends to guide its pandemic response. Data updated every Tuesday by 10 am.
COVID-19 Incidence Indicators (past 6 months)
COVID-Like Illness (CLI)
The percentage of all emergency department (ED) and urgent care (UC) visits, that are for COVID-like symptoms, can signal how much COVID-19 there is in a community.
Cases by Date of Illness
While many cases are no longer reported due to at-home testing, the overall trends of reported cases can still be valuable.
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COVID-19 Severity Indicators (past 6 months)
COVID-19-Associated Hospital Admissions
COVID-19 hospital admissions indicate the severity of disease in the community and the impact on the health care system.
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COVID-19-Associated Deaths
Trends in reported deaths help us to understand the severity of COVID-19 and its impact on the community. Death data is subject to delays. Learn more from the How does VDH Count COVID-19 Associated Deaths? blog post.
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COVID-19 in Virginia (past 6 months)
Case Data Demographics
Demographic trends show which communities the disease is affecting. This data can be used to assess needs for resource distribution like testing and vaccination.
Hospital Census
This measure looks at the average number of beds in use for COVID-19 for a given week. This is to measure hospital capacity.
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Vaccination (all time reporting)
Vaccination
Being up-to-date with the COVID-19 vaccine is the best way to protect people from serious illness, hospitalization and death from COVID-19. Monitoring data on the percent of Virginians who have been vaccinated provides information on statewide COVID-19 immunity.
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Surveillance of Variants (past 6 months)
Variants
Variant surveillance allows VDH to identify and track genetic changes in the SARS-CoV-2 virus, which causes COVID-19. Early detection of variants that increase risk to human health could warrant a shift in the state response. Variants data is subject to delays.
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Whole genome sequencing (WGS) allows for tracking of genetic changes in the SARS-CoV-2 virus, which causes COVID-19. These genetic changes occur over time and lead to the emergence of new viral variants. Surveillance of variants can detect when a new variant is increasing in the state. Early detection of concerning variants that increase risk to human health could warrant a shift in the state response, and it may warrant individuals making more cautious choices. The chart here shows the COVID-19 variants identified each week among specimens sequenced by laboratories that report WGS results to VDH. The number of sequenced specimens shown is a small proportion of the total number of COVID-19 cases in Virginia.
We would like to thank the GISAID Initiative and are grateful to all of the data contributors, i.e. the Authors, the Originating laboratories responsible for obtaining the specimens, and the Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this information is based. GISAID data provided on this website are subject to GISAID’s Terms and Conditions.
Elbe, S., and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID’s innovative contribution to global health. Global Challenges, 1:33-46. DOI: 10.1002/gch2.1018 PMCID: 31565258.
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