As the outbreak is brought under control and there is a high level of contact tracing capacity, most new positive cases should stem from individuals who we have already identified as close contacts of other positive cases and have quarantined, allowing transmission to be effectively reduced. A new case from a quarantined contact is defined as a positive case who was previously a quarantined contact. A quarantined contact is defined as a close contact of a positive case who has been successfully reached by a contact tracer. Contact tracing includes an interview with the initial positive case to collect basic information, identify close contacts, and provide resources and instructions for isolation. Close contacts of positive cases are interviewed to provide instructions for quarantine and gather more information about potential exposure. An individual can be a close contact of multiple positive cases. This data is used to calculate the Reopening DC metric for percent of new cases from quarantined contacts is above 60%. Data are subject to change on a daily basis and reported at a 4-day lag for proper analysis.Data is updated Monday-Friday.

Contact tracing includes an interview with the initial case to collect basic information, identify contacts, and provide resources and instructions for isolation. Contact tracing is not conducted for deceased individuals, or residents of jails and long term care facilities. These cases are excluded from this calculation, and are handled in separate and specialized health investigations. Close contacts without valid contact information are not included in the metric. If contact information is identified at a later date, the contact is included in the metric at that time, even though it may have passed the ideal contact window. An individual can be a close contact of multiple positive cases. Three contact attempts are made before a contact is marked loss-to-follow up. The moving average of the percentage of close contacts with a contact attempt within two days will be calculated using a 7-day window, inclusive of the end date. The result will be a 7-day average weighted by the number of cases on that day. Currently, since there are too few days to calculate a 7-day average, each day will build, from a 3-day average on June 14, a 4-day average on June 15, etc., through a 7-day average starting on June 18. We begin reporting on June 12 as data were transitioned to the new contact tracing system between Jun 3rd - Jun 11th, which prevented our ability to accurately estimate the number of call attempts during the transition period. We will build up to a 7-day average on the June 18 notification date. This data is used to calculate the Reopening DC metric with the percentage of close contacts of positive cases with at least one contact attempt is made within two days of case notification to DC Health. Data are subject to change on a daily basis and reported at a 4-day lag for proper analysis.

In areas with high levels of testing, a decreasing positivity rate indicates that the levels of virus circulating in the District are falling. The positivity rate is calculated among DC-residents, and includes repeat testing. In a given day, the data is unique by person, but includes persons who test on multiple days. This may include DC-residents who are tested by providers outside of DC. Inadequate samples (not-tested) or results without a positive/negative are excluded. Both diagnostic and screening tests are included, serological testing is excluded. This chart may change as lab reporting undergoes quality review. This data is used to calculate the Reopening DC metric with a goal of 7 consecutive days of test postivity rate below 20% for Phase 1 and below 15% for Phase 2. These goals are based on CDC guidance. Data are subject to change on a daily basis and reported at a 8-day lag for proper analysis.Data is updated Monday-Friday.

This layer was retired on November 1, 2020. Data include only community infections, not infections that happen in congregate settings. Congregate settings include jails, assisted living, and shelters. We restrict to community infections because infections that occur in congregate settings can be controlled through infection control efforts within the institution/facility. Users of the data should use the symptom onset date or estimated start of the infectious period (i.e., when a person can transmit the disease to another person), rather than the report date to give a better understanding of how the virus is spread across the District. June 22 was the calendar date where the policy effect took place. Data through June 22 are reported on June 24, and represent a symptom onset date of June 15. This data is used to calculate the Reopening DC metric with number of days where cases in the community by date of symptom onset (for symptomatic individuals) or estimated start of infectious period (for asymptomatic individuals) have decreased. A day of decrease is defined as a day where the number of new cases is less than 2 standard deviations of the 5 day rolling average from the previous low OR there has not been 3 days of consecutive increase. The count resets to the day with the closest most recent value when a peak is detected. The days in between are no longer counted. The goal of this metric is to reach 14 days of sustained decrease, with a final value below 131 cases per day (2 standard deviations below the initial peak). Data are subject to change on a daily basis and reported at a 9-day lag for proper analysis.

Occupied beds include those within inpatient and intensive care units. Patients may be ventilated. The total count includes patients who are being treated for conditions unrelated to COVID-19. Medical surge beds are not considered as part of the total. There are some days where one or more hospitals did not report bed usage. For these dates, the bed usage for that hospital from the previous date is used for analysis purposes. Acute care hospitals in DC are: Howard University Hospital, United Medical Center, MedStar Washington Hospital Center, Children's National Medical Center, Sibley Memorial Hospital, George Washington University Hospital, Georgetown University Hospital. This data is used to calculate the Reopening DC metric to stay below 80% of total bed capacity without increases due to medical surge. Data are subject to change on a daily basis and reported at a 2-day lag for proper analysis.

The effective reproduction number (Rt) estimates the average number of secondary cases generated by an individual with SARS-CoV-2. If Rt is above 1, the number of daily new infections will grow at an exponential rate. If it is below 1, the number of daily new infections will decrease. If field {ABOVE1=1}, then the transmission rate for that day did not meet the Reopening DC metric. The effective reproduction number must remain below 1 for a consecutive 5 days in order to achieve Reopening DC. The reproduction number is calculated in retrospect - data reported today is used to calculate the Rt for 14 days ago. This allows time for reported cases on a day to be more complete (~75% of cases reported), and calculates Rt over a 7−day window. Rt is primarily affected by 1) under-reporting rate over time, 2) caseload by start of infectious period, and 3) the serial interval (average between the start of the infectious period in one individual, and the start of the infectious period in an individual they infect). Rt is estimated from cases by start of infectious period using the EpiEstim algorithm, and the day plotted is the midpoint of the 7 day window. Rt may not be a reliable indicator of transmission as cases decline, as it becomes more uncertain with less data, and can be heavily impacted by disease events in other states which are imported into DC. For this reason, Rt is not measured at geographies below the city level. This data is used to calculate the Reopening DC metric where the effective reproduction number must be below 1 for 5 days. Data are subject to change on a daily basis and reported at a 12-day lag for proper analysis.