Improvements to the risk assessment calculations were made in app versions [V1.5 (Symptom Recording)](https://www.coronawarn.app/en/blog/2020-10-19-version-1-5/) and [V1.9 (Exposure Notification Framework v2)](https://www.coronawarn.app/en/blog/2020-12-16-corona-warn-app-version-1-9/) after this document was published. The FAQ section [Risk Assessment](https://www.coronawarn.app/en/faq/#risk_assessment) answers related questions.
People who use the Corona-Warn-App (CWA) and are tested positive for the SARS-CoV-2 coronavirus can allow their CWA to upload the random device keys (*temporary exposure keys*) that have been generated by their smartphone's operating system in recent days to the Corona-Warn-App server as *diagnosis keys* and release them there.
These diagnosis keys are the basis for risk identification for all other CWA users.
A user who has tested positive for coronavirus uploads up to 15 diagnosis keys: one for each of the up to 14 days before the upload, as well as (still to be implemented) one for the current day, which is uploaded the next day.
The latter is necessary because diagnosis keys can only be uploaded for past days in order to prevent abuse of diagnosis keys that are still active.
Diagnosis keys do not give any indication as to the identity of a person who has tested positive, but a diagnosis key from a certain day can be matched with the *rolling proximity identifiers* that a user's smartphone has transmitted via Bluetooth throughout a given day and were received and recorded by other smartphones nearby.
Each diagnosis key is appended with a value that indicates the *transmission risk level* that likely existed for the person who has tested positive on the day that the diagnosis key belongs to.
This transmission risk is [estimated in a mathematical procedure](transmission_risk.pdf), which is based on empirical evidence and takes the latest scientific findings into account.
Every diagnosis key expires after 14 days. Therefore, only the diagnosis keys from the last 14 days are available.
Daily, all active Corona-Warn-Apps download the diagnosis keys released on the Corona-Warn-App server and pass them on to the smartphone's operating system in batches through an interface.
The operating system checks whether any of the rolling proximity identifiers that it has received and recorded over the past 14 days match any of the diagnosis keys.
If there is a match, this indicates that the user's smartphone encountered the smartphone of a person who has uploaded the diagnosis key, on the day to which the diagnosis key belongs.
> Note: Days in the context of the Corona-Warn-App and thus in this document are calendar days according to UTC (Coordinated Universal Time). They change at 1 am Central European Time and 2 am Central European Summer Time, respectively.
In the next step, the operating system analyzes all the matching rolling proximity identifiers for each diagnosis key, to estimate how long the encounter lasted in total on the day in question and how close both smartphones were to each other on average during the encounter.
The distance is calculated from the measured reduction in strength of the Bluetooth signal, which is specified in dB (decibel).
Under perfect circumstances, i.e. without any obstacle in the signal pathway (see also section "Consequences and Constraints"), each dB value is associated with a particular distance.
All encounters for a diagnosis key that lasted less than 10 minutes in total (regardless of how close the smartphones came during that time) or during which the smartphones were more than 8 meters (>73 dB attenuation) apart on average (regardless of how long the encounter lasted) are discarded as negligible risk.
> Note: In the following, the total of all encounters that belong to a particular diagnosis key, that is, all encounters over a given day between the same two smartphones, is referred to as the "encounter set".
For the remaining encounters that have not been discarded, a *total risk score* is calculated for each encounter set, by multiplying the transmission risk score described above by the *days since last exposure* value, which is derived from the day count since the most recent encounter to the current day.
At the same time, all remaining risk exposures are summarised to determine the total time of exposure that took place within a very close range below 1.5 meters (<55dBattenuation)andthetotaltimeofexposurethattookplaceinacloserangebetween1.5and3meters(55to63dBattenuation).
The above calculated total time of all exposures of the latest 14 days is then adjusted using the *maximum risk score* of the exposure with the highest risk as follows: the time remains unchanged if this risk is estimated as being "average" (for risk exposures), it is extended to up to one and a half times if the risk is estimated as being "above average", and it is reduced accordingly if the risk is estimated to be "below average".
As a result, an exposure time of 10 minutes can be extended to more than 15 minutes and an exposure time of 25 minutes can be reduced to 15 minutes.
In the end, a CWA user is notified of an increased risk whenever the risk exposure time calculated as described above amounts to 15 minutes or longer.
This notification takes place in the CWA and, at the same time, provides recommendations as to how the user should proceed.
When assessing the times and distances calculated by the CWA, it is important to consider that it is not possible to measure these two parameters precisely.
The individually measured times can deviate from the actual encounter time by 5 minutes plus or minus and the calculated distances are approximate values under ideal conditions, that is, without any impediments between the two smartphones.
Even minor impediments, such as a person between the two smartphones or a signal-impeding smartphone case, can cause the distance to appear to be twice as large as it actually is.
Due to privacy considerations, the properties described above can currently only be queried for the total set of all risk exposures at the interface to the operating system, but not for individual risk exposures or exposure by day.
As long as the number of new infections remains relatively low, this should not make much of a difference, because it is likely that only very few CWA users will have been exposed to multiple persons who have tested positive within the time frame until they are notified.
## An Example
Anton and Aisha are each notified on the 20th of the month that according to their test results, they have contracted COVID-19.
That same day, Anton allows his CWA to notify other CWA users with whom he has had risk exposures.
The CWA has been running on his smartphone continuously for the past week.
The CWA now uploads his temporary exposure keys from the latest 7 days to the CWA server as diagnosis keys (no further keys are available, because Anton has only been using the CWA for 8 days and the current exposure keys cannot be uploaded yet).
They are assigned the transmission risk levels VI (for the previous day), three times VIII (for the 16th to the 18th), V, III, and I (in descending order for the other past days, the 13th to the 15th).
Since she activated her CWA several weeks ago and has been running it in the background ever since, her temporary exposure keys from the latest 14 days are available to upload.
Her diagnosis keys are also assigned the transmission risk level VI, three times VIII, V, III, and I in descending order for the previous seven days, but starting with the 20th, and thus offset one day compared to Anton.
(The CWA does not know that both people were informed of their test results on the same day. In the current version, only the date on which consent to upload is granted is available to determine the day-specific transmission risk levels.)
The 7 older days, the period from the 7th to the 13th of the month, are each assigned the transmission risk level I.
When Betty’s CWA retrieves Anton’s diagnosis keys on the 21st and passes them on to her smartphone's operating system's interface, an encounter set is recognized for the 16th.
The value of the parameter for the delay risk (21 - 16 = 5 days) is configured to be 5 throughout and the value for the transmission risk is taken directly from the transmission risk level, which means it is 8.
The total risk level is therefore calculated as 1 x 1 x 5 x 8 = 40, which incidentally is the highest value that can be reached with the current configuration.
The threshold of 11 is exceeded, which means the encounter set counts as a risk exposure.
Since this risk exposure is the only risk exposure known to Betty’s CWA, it is the only one taken into account in the summary evaluation of her times spent in the distance ranges up to 1.5 meters and up to 3 meters.
Betty spent 20 minutes in the distance range below 1.5 meters, which are counted fully.
Even if these 20 minutes are adjusted by the risk exposure with the highest risk, only this one risk exposure is taken into account, with its exposure risk of 40.
The multiplication of these 20 minutes by 40/25 (25 is the currently configured value for "average risk" exposures; also see the risk score normalization divisor in "Configuration of Attenuation and Duration" in the section "Current Configuration") equals 32 minutes.
Since the CWA sends notifications of increased risk starting with 15 minutes, Betty's app sends her a notification.
It identifies additional encounters on the 16th and the 9th of the month.
Both encounter sets lasted a total of 20 minutes each and the smartphones were an average of two meters apart.
This also results in values of 1 for duration and attenuation.
The delay risk values (22 - 16 = 6 days; 22 - 9 = 13 days) are a constant 5 and the transmission risk values are 5 for the 16th and 1 for the 9th of the month.
As a result, the exposure risks for the 16th are calculated as 1 x 1 x 5 x 5 = 25 and for the 9th as 1 x 1 x 5 x 1 = 5.
The encounter set from the 9th does not reach the threshold and is therefore not counted as a risk exposure.
In contrast, the risk exposure on the 16th is taken into account in the summary evaluation, which means Betty's CWA now counts 20 minutes (with Anton) in the distance range up to 1.5 meters fully and an additional 20 minutes (with Aisha) in the distance range up to 3 meters half (that is, 10 minutes).
The calculated 30 minutes are once again adjusted by Betty’s risk exposure with Anton, which at 40 is still the highest exposure risk from all risk encounters identified in the recorded 14-day period, resulting in 30 x 40/25 = 48 minutes.
As documented in the [risk score calculation section](https://github.com/corona-warn-app/cwa-documentation/blob/master/solution_architecture.md#risk-score-calculation) of the solution architecture document, the actual parameters for the calculation are provided by a set of parameters which are hosted on cwa-server.
This configuration might change over time according to the new research results and insights. The respective current set of configuration values can be looked up in the [cwa-server repository](https://github.com/corona-warn-app/cwa-server):
