Current Return Level: 1
Updated January 15
If community health conditions worsen, APS, in consultation with the Arlington County Public Health Department, will pause at the current level, reverse, or suspend all in-person instruction.
CDC K-12 School Metrics for Arlington
The Centers for Disease Control (CDC) have published a set of Indicators for Dynamic School Decision Making to help guide decisions related to school programming. These are published on the Virginia Department of Health website. The Virginia Department of Education in collaboration with the Virginia Department of Health published a Decision Matrix for using these indicators here. Here are the key Arlington metrics we are following.
|CDC Risk Levels||Lowest Risk||Lower Risk||Moderate Risk||Higher Risk||Highest Risk|
|Total Number of new cases per 100,000 persons in last 14 days*
|Percentage of positive RT-PCR tests in last 14 days**
|Ability of schools to implement 5 mitigation factors: masks, social distancing, hand hygiene/respiratory etiquette, cleaning/disinfection, contact tracing.
(Arlington Public Schools)
|(see operational metrics, below)|
|Percent change in new cases per 100,000 in last 7 days compared to previous 7 days†
|Percentage of hospital inpatient beds in the region that are occupied‡
|Percentage of hospital inpatient beds in the region that are occupied by patients with COVID-19‡ (Northern Virginia)||16.8%|
|Existence of local community COVID-19 outbreaks (>0.00 – Red and 0.00 – Green)§
|Other Regional Health Metrics from Arlington County (7-Day Average)|
|Rate of Emergency Visits for Coronavirus-like Illness
|COVID ICU Hospitalizations
|APS Operational Metrics|
|Instructional Employee||Instructional employee preference to return to in person instruction.||39%|
|Support Employee||Support employee preference to return to in person instruction.***||59%|
|Substitute Availability||Percentage of substitutes who’ve indicated they are willing to support in-person instruction.||70%|
|Cleaning and Disinfecting||Hand sanitizer, soap, disinfectant, etc. 10-week supply on hand.||95.1%|
|COVID-19 Equipment||Face covering, plexiglass shielding, floor marking, KN95s, etc.||100%|
|Isolation Equipment||Air purification, gloves, gowns, N95s, Fit Testing, etc.||100%|
|Technology Infrastructure||Percentage of student devices connecting to the network on average.||96.1%|
|Health Measure Compliance with CDC’s mitigation factors¹||Employee and student compliance with health measures based on weekly audit.||91.08%|
|Employee Exclusion||All employees on FFCRA, Symptomatic, Exposures, Tested Positive vs employees required to report||6.57%|
|Student Exclusion||Symptomatic, Exposures, Tested Positive vs students reporting in level one||11.25%|
*Total number of new cases per 100,000 persons within the last 14 days is calculated by adding the number of new cases reported in the last 14 days, dividing by the population of that locality, and multiplying by 100,000. The indicator differs from the daily case incidence rate per 100,000 used by VDH in the Daily Region Metrics dashboard because it captures the case incidence for 14 days rather than one day.
**Percentage of RT-PCR tests in the locality that are positive during the last 14 days is calculated by dividing the number of positive tests over the last 14 days by the total number of tests conducted over the last 14 days and multiplying by 100.
†Percent change in new cases per 100,000 population during the last 7 days compared with the previous 7 days is calculated by adding the number of new cases reported in the locality in the last 7 days, subtracting the total number of new cases in the previous seven days, dividing the difference by the total number of new cases in the previous seven days, and multiplying by 100. In communities with low case incidence, this measure can fluctuate wildly.
‡Hospitalization data are provided at the region level. The CDC Indicators for Dynamic School Decision-Making also includes a measure of the percentage of intensive care unit beds in the community that are occupied. VDH can not currently calculate this measure as the total census of ICU beds is not available.
§In this document CDC defines community outbreak as a sudden increase in the number of COVID-19 cases. VDH uses the national CSTE COVID-19 outbreak definitions (CSTE). Because of the difference in definitions, VDH did not create a separate outbreak metric using this CDC definition.
¹Compliance with health and safety measures is calculated by the number of failed audits and complaints of non-compliance, divided by the total number of schools operating, multiplied by 100.
CDC Risk Level Benchmarks
|Indicators||Lowest Risk||Lower Risk||Moderate Risk||Higher Risk||Highest Risk|
|Number of new cases per 100,000 persons within the last 14 days*||< 5||5 to < 20||20 to < 50||50 to ≤ 200||>200|
|Percentage of RT-PCR tests that are positive during the last 14 days*||< 3%||3% to 5%||5% to < 8%||8% to ≤ 10%||> 10%|
|Strategies Implemented Correctly and Consistently||all 5 strategies||all 5 strategies||3-4 strategies||1-2 strategies||No strategies|
|Percent change in new cases per 100,000 population during the last 7 days compared with the previous 7 days (negative values indicate improving trends)†||<-10%||– 10% to < -5%||-5% to < 0%||0% to ≤ 10%||> 10%|
|Percentage of hospital inpatient beds in the community that are occupied‡||<80%||< 80%||80 to 90%||> 90%||> 90%|
|Percentage of intensive care unit beds in the community that are occupied‡||<80%||< 80%||80 to 90%||> 90%||>90 %|
|Percentage of hospital inpatient beds in the community that are occupied by patients with COVID-19‡||<5%||5% to < 10%||10% to 15%||> 15%||>15 %|
|Existence of localized community/public setting COVID-19 outbreak§||No (Green)||No (Green)||Yes