Implement disease likelihood criteria from the inputs received in the questionnaire

[Skhurana136]

https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Massnahmen_Verdachtsfall_Infografik_DINA3.pdf?__blob=publicationFile

https://www.zeit.de/wissen/gesundheit/2020-03/kontakt-erkrankte-covid-19-schutz-tipps

We would like to evaluate the questionnaire data according to the criteria given in the linked flowcharts.

[carolina-ott]

Hi there, I checked the two charts. We cover all questions in the questionnaire that are brought up in the zeit-chart. Using the anwers of the user, we can make assumptions wether the user is a person that might be infected or not.

Concerning the second chart, from RKI, this is specifically for doctors, how to handle a "Verdachtsfall" Those questions are too technical, or using to many words with medical background. I don't think those quesitions need to be considered for the questionnaire.

[Skhurana136]

Thanks! I think the same about the two charts. So far as I can see, there is no question for the underlying condition of the respondent. Right?

[Skhurana136]

A simplified decision making tool would look like this, depending on how the data is being processed and stored after the form is submitted.

first pull existing totals of each category (Where are they being stored? - data backend can add their expertise here?):

Potential infections in the zip code (displaying symptons with travel history and/or contact with a confirmed COVID case, or result of test outstanding)= potentialinfection

Potential high risk infections in the zip code (Potential infections with age > 45 years): potentialhighriskinfection

Potential hospitalization infection in the zip code (Potential infections of all other adults greater than 30 years of age): potentialhospitalizedinfection

Infections other than COVID (when displaying the symptoms but has been tested negative for the test): otherinfection

Infections in the zip code (Tested positive for COVID): infection

Confirmed infection with advanced age: highriskinfection

Confirmed infection of other adults: hospitalizedinfection

if (count(symptoms)>=1): if (notherstest>0) or (travelhistory == "Ja"): if (test == "Nein"): print ("You may be infected, please seek medical help immediately") potentialinfection+=1 #Labeled as potential infection and categorized as yellow if (age > 45): potentialhighriskinfection+=1 elif (30<age<45): potentialhospitalizedinfection+=1 elif (test == "Ergebnis ausstehend"): print ("Stay indoors and avoid contact with others in order to prevent further transmission") potentialinfection+=1 if (age > 50): potentialhighriskinfection+=1 elif (30<age<50): potentialhospitalizedinfection+=1 elif (test == "Negativ"): print ("Stay indoors and avoid contact with others in order to prevent further transmission") otherinfection+=1 elif (test == "Positiv"): print ("Avoid contact with others in order to prevent further transmission and seek medical help") infection+=1 if (age > 45): highriskinfection+=1 elif (30<age<45): hospitalizedinfection+=1 elif (count(symptoms)==0): if (notherstest>0) or (travelhistory == "Ja"): print ("You are advised to quarantine yourself for 14 days post your arrival in Germany and/or post your contact with the said COVID-19 confirmed case") potentialinfection+=1