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This paper describes the bias when calculating key epidemiological indicators such as CFR from primary vs secondary cases. It would be good to indicate, or be able to indicate from data collected, primary and secondary cases.
Location of contacts (albeit to admin level 3) could enable clusters to be identified. Date of contact and date of symptom onset could identify primary case within a cluster.
The text was updated successfully, but these errors were encountered:
https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(13)70304-9/fulltext
This paper describes the bias when calculating key epidemiological indicators such as CFR from primary vs secondary cases. It would be good to indicate, or be able to indicate from data collected, primary and secondary cases.
Location of contacts (albeit to admin level 3) could enable clusters to be identified. Date of contact and date of symptom onset could identify primary case within a cluster.
The text was updated successfully, but these errors were encountered: