Does the data contain all COVID patients? about data-science-for-covid-19 HOT 3 OPEN

from data-science-for-covid-19.

I see, thanks for that info.

Here's another idea I had for adding to PatientRoute.csv if this interests you:

Idea: Can we augment the PatientRoute.csv file with data on visitor traffic to these locations? For instance, patient #5 in 광진구 visited a store on Jan 26, and we'd like to know how many people visit that store on a typical day. We can do this with location data from map services like T-Map, Kakao Map, or Naver Map.

Why this is useful: Tracking the number of people visiting each location allows us to estimate the likelihood of disease transmission at each location, as follows:

Likelihood of Transmission = (Likelihood of exposure) X (Likelihood of infection, conditional on exposure)

Calculating this likelihood would be extremely useful both for modeling the spread of COVID19 in a region and for resource-constrained governments who wish to prioritize who to test based on individuals with the highest probability of transmitting the disease to others

Data Source: I noticed that this project was sponsored by SKT, so maybe we could reach out to them for data on visitor traffic from their T-Map app? We could anonymize the data by aggregating the number of visits at the location-date level, which would resolve consumer privacy issues

P.S. I'm currently based in Korea, so PM me separately if you'd like to discuss anything over the phone!

from data-science-for-covid-19.

To elaborate, here are some examples I'm thinking of:

Kakao mobility report (describes the type of data we will need)
https://brunch.co.kr/@kakao-it/36

T-Map published the info we need (유동인구수), but the geographic unit is too large (rather than 시군구 level, something at the building/location level would be more necessary)
(https://www.bigdatahub.co.kr/product/view.do?pid=1002286)

T- Map also publishes popular searches at the location level (검색지명).
https://www.bigdatahub.co.kr/product/view.do?pid=1002290

Ideally, what we would want is the combination of the above two datasets: 유동인구 at each 검색지명, recorded at a daily frequency.

from data-science-for-covid-19.