Digitally Connected Tribal Colonies (MeitY)

Develop for Frontend, backend and database functions.
Only one backend API to call for the whole dashboard on Disease Analytics
The database functions to be sepearte and one DB wrapper DB function to call all panel wise DB functions and consolidate response JSON.

Template at https://cdachtg.github.io/digipathodashboard/disease_analytics_dashboard.html#

TAT (Turnaround Time)
TAT = report_date − sample_collection_date
This is calculated for each sample.
Median
The middle value when all TAT values are sorted.
It represents the most representative reporting time.
If TAT values (days) for 9 samples are:
[2, 3, 3, 4, 5, 6, 7, 15, 30]
Median TAT = 5 days
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P95 TAT (days):

The number of days within which 95% of diagnostic reports are completed after sample collection.

P95 TAT (days) means:

The number of days within which 95% of diagnostic reports are completed after sample collection.
[2, 3, 4, 5, 6, 7, 8, 10, 14, 30]

Median TAT = 6.5 days
P95 TAT ≈ 27 days
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For a given camp c and disease d:
Positivity Rate (%) =
(Number of diagnosed positive cases for disease d in camp c)
÷
(Number of individuals screened for disease d in camp c)
× 100