Synergy with THL Omaolo platform

[obruck]

From a medical perspective, there is a risk for redundant double work as THL is gathering similar location and time data of people with respiratory tract symptoms from Omaolo.fi. It seems the data is not available (but could be?) so I suggest to try to find synergy with their platform as both are helpful in identifying the actual number of infections in Finland.

Examples of synergy

• combining datasets with Omaolo.fi Requires a similar set of questions + option to add questions of your interest.
• validation dataset. On the other hand, the data is collected in a similar fashion, so perhaps not the best possible validation.
• complementary dataset. Asking different question, e.g. you will try to define how the clinical course differs in various areas to deconvolve where the actual corona cases are located or defining social aspects of people with the disease.

Best,

Oscar Brück, lääketieteen lisensiaatti

[jnissin]

Agreed, I think we should look for ways of combining the data in a meaningful fashion. I think the first step is to look at the overlap between the questions in Omaolo and Oiretutka and take a look if we could somehow combine the two datasets at least to some extent. However, I don't think the Omaolo data is publicly accessible to everyone?

[T20v]

hi, here some quick and dirty ideas. There is also https://korona.kans.io/ that might give some synergy ideas how to publish data/co-operate. My comments are here just as end user. I feel like this would be like voting machine to show categorized single and group values calculated into generic area healthiness index value per post number area. That would be Corona heat map. Get computing power from Veikkaus AB or from äänestyskone machine. Idea is to have self service testing site with self service analysis to be able to show reality data based on how individuals feel.

• Data collection based on given post number (get the data from known government source)
• visualization to end user based on post number (filter by post number or bigger entity group)
• mandatory to have opportunity to update my given "points", IF / WHEN people get sick later !
• questionare topics:
• male/female
• post number as per drop down selection value
• blood group: known value given, not known (default) , drop down ....
• ratings from 0 (none = ok) to 5 (severe heavy impact) to following
• temperature/ fever rating (drop down group categories) 35...36, 36...37, 37...38, 38...39, 39+
• head ace (päänsärky)
• sore throat (kurkkukipu)
• coffing (yskä)
• sneezing (nuha)
• itching (kutina)
• skin changes (ihomuutokset)
• breathing capability (hengityskyky)
• chest pain (keuhkorintakivut)
• muscles or body pain (lihaskipu / yleiskipu)
• stomac pain (vatsakipu)
• diarrhea (ripuli)
• constipation (ummetus)
• Corona identification, NO, tested negative, I feel I have it, tested corona positive
• capability to move ( normal, only inside house, mainly only in bed,
• capability to eat / dring
• treatment types: not sick, home care, (I was) in hospital, (I was) in intensive care
• those only from symptoms view
• many other but thats it

Take some ideas from the list in case found useful.

From here you get reference post number data and dat collection completion rate% can be measured http://www.stat.fi/tup/paavo/index_en.html

Main thing is to get a simple heat map per post number/ aggregation of heat map to bigger area entities like Helsinki, Espoo, Vantaa, Uusimaa...

Br, Mr. T. DevOps trainee