COVID-19 Dashboard

Health Metrics for Return to In-Person Instruction

Burbio National K-12 School Openings Tracker

This is a map that indicates Virtual versus In Person Learning For K-12 Public Schools Across the US. The service actively monitors 1,200 districts, including the 200 largest school districts. 

To see the tracker map and learn more. (External Resource)

National K-12 School Opening Tracker

CDC- Compiled COVID 19 Case Forecast Models

The CDC receives forecasts of new reported COVID-19 cases over the next 4 weeks from 30 modeling groups that are ensembled on their website.

To see the forecast models and learn more. (External Resource)

CDC- Compiled COVID 19 Case Forecast Models

MCPS COVID-19 Dashboard


School Reopening Dashboard Definitions

CDC Indicators for Dynamic School Decision-Making

During the COVID-19 pandemic, states, tribes, localities, territories and school districts have asked CDC for guidance to inform decision-making about when and how to safely open schools. Given the likely association between levels of community transmission of SARS-CoV-2 and risk of SARS-CoV-2 exposure in schools 1,16, a first step in determining when and how it is safe to reopen involves assessing the level of community transmission. School administrators, working with local public health officials, should assess the level of risk in the community and the likelihood of a case in a school facility, the likelihood that a case would lead to an outbreak, and the consequences of in-school transmission.

CDC recommends the use of two measures of community burden to determine the level of risk of transmission:

  1. total number of new cases per 100,000 persons in the past 7 days;
  2. and percentage of nucleic acid amplification tests (NAATs), including RT-PCR tests that are positive during the last 7 days.

The two measures of community burden should be used to assess the incidence and spread of SARS-CoV-2 in the surrounding community (e.g., county) and not in the schools themselves. If the two indicators suggest different levels, the actions corresponding to the higher threshold (in Table 2) should be chosen. The transmission level for any given location will change over time and should be reassessed weekly for situational awareness and to continuously inform planning.

Table 1. CDC Indicators and Thresholds for Community Transmission of COVID-191
Indicator Low Transmission

Blue

Moderate Transmission

Yellow

Substantial Transmission

Orange

High Transmission

Red

Table 1. CDC Indicators and Thresholds for Community Transmission of COVID-19
Total new cases per 100,000 persons in the past 7 days2 0-9 10-49 50-99 ≥100
Percentage of NAATs that are positive during the past 7 days3 <5.0% 5.0%-7.9% 8.0%-9.9% ≥10.0%

1 If the two indicators suggest different levels, the actions corresponding to the higher threshold should be chosen. County-level data on total new cases in the past 7 days and test percent positivity are available on the County View tab in CDC’s COVID Data Tracker.

2 Total number of new cases per 100,000 persons within the last 7 days is calculated by adding the number of new cases in the county (or other community type) in the last 7 days divided by the population in the county (or other community type) and multiplying by 100,000.

3 Percentage of positive diagnostic and screening NAATs during the last 7 days is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. Additional information can be found on the Calculating Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Laboratory Test Percent Positivity: CDC Methods and Considerations for Comparisons and Interpretation webpage.

4 Previously, CDC provided guidance for schools through the Indicators for Dynamic School Decision-Making. The current indicators and thresholds are an update to that document that reflect a focus on the past 7 days, and four (rather than five) categories of community transmission.


Fourteen Day Average New Case Rate per 100,000 Residents

  1. The New Cases per 100K population, is the rate of confirmed daily COVID-19 cases among Montgomery County residents per 100,000 people in the county. This rate is a 14-day average, calculated using the 14 day rolling average of new cases and the 2019 estimated county population. Displayed in the center of the county map is the current New Case Rate.
  2. The Graph will show the New Case Rate from the first day collected to the last day collected.
Risk Level Color Thresholds

Very High Risk of Transmission

       Red

>15

High Risk of Transmission

       Orange

>10 to 15

Moderate Risk of Transmission        Yellow >5 to 10
Low Risk of Transmission        Lt. Green 3 to 5
Very Low Risk of Transmission        Green <3

Fourteen Day Percent Positivity

  1. Montgomery's COVID Test Positivity Rate reflects the fourteen day rolling average of each day's positivity percentage.  The percentage is calculated using the total number of positive COVID tests electronically reported to Maryland Department of Health (MDH) (by date of report) divided by the total number of COVID tests electronically reported to MDH (by date of report).  The Average is calculated by taking the sum of the most recent 14 day positivity rates and dividing that number by 14.
  2. The graph will display the daily positivity percent each day from the first day collected to the current day's value.​​​​​​​​​​​​
Risk Level Color Thresholds

Very High Risk of Transmission

       Red

>15%

High Risk of Transmission

       Orange

>10 to 15%

Moderate Risk of Transmission        Yellow >5 to 10%
Low Risk of Transmission        Lt. Green 3 to 5%
Very Low Risk of Transmission        Green <3%

Fourteen Day Cumulative Cases by ZIP Code

The 14 day cumulative cases is a total number of cases reported during the past 14 days for each county ZIP Code. If no ZIP Code is selected, the graph will display data from all ZIP Codes. When a ZIP Code is selected on the map visual, historical data for that area will be displayed on the chart. The map visual is color coded based on equal percentage thresholds documented below.​​​​​​​​​​​​

Display Color Thresholds

Highest 20%

       Red

>=80%

Second Highest 20%

       Orange

>60 to 79%

Middle 20%        Yellow >40 to 59%
Next Lowest 20%        Lt. Green 20 to 39%
Lowest 20%        Green <20%