	In an effort to support the planning and response efforts for the COVID-19 pandemic, we have prepared a visualization tool that provides a unique way of examining data curated by different data sources. You can visit the COVID-19 Surveillance Dashboard here, or learn more about it here.
	The Virginia Medical Resource Demand Dashboard is a visualization tool that couples epidemic simulations produced by NSSAC with hospital resource counts to project when different Virginia Hospital Preparedness Program (VA HPP) regions (also called Virginia Hospital Alerting & Status System (VHASS) regions) might hit the crisis stage due to the COVID-19 pandemic. You can visit the dashboard here, or learn more about it here.
	One major concern as the pandemic got underway was whether hospitals could handle the influx of COVID-19 patients. The US Medical Resource Demand Dashboard was developed to allow public health officials to identify where and when hospitalizations are likely to peak. You can visit the dashboard here, or learn more about it here.
	The VaxStat dashboard is a platform for sharing our insights on Vaccine Deployment and Acceptance. The framework is developed to streamline the processing of adding new datasets, as well as to simplify the comparison of different datasets. You can visit the dashboard here.
	Leading epidemiologists are assisting the CDC and other federal and state agencies to develop computational models of how COVID-19 might spread in your community. These models depend on knowing the different social distancing measures in each of the 3000+ counties in the United States. We urgently need volunteers to help us build a dataset of social distancing measures. You can visit the Social Distancing Dashboard here.
	You can visit the COVID-19 Mobility Surveillance Dashboard here.
	This dashboard is a decision-support tool that utilizes large-scale data and epidemiological modeling to quantify the impact of changes in mobility on infection rates. Our model captures the spread of COVID-19 by using a fine-grained, dynamic mobility network that encodes the hourly movements of people from neighborhoods to individual places, with over 3 billion hourly edges. You can visit the COVID-19 Mobility Impact Dashboard here, or learn more about it from our KDD’21 paper here.
	One of the challenges in analyzing data for public health reponse is the variety of analytical models available. This dashboard allows the user to compare models and thus provide a range of forecasts for COVID-19 and influenza. You can visit the COVID-19 and Influenza Forecast Dashboard here.