stir command but for clustered/nested data?

[Sakshi Rajatbhai Tewari]

Is there a a command similar to stir in stata, for generating incident rates by group, but after accounting for clustered data? My data is in the following structure; where..

• Each ID can have infections with multiple strains, and so appears multiple times, once for each strain that its negative for at the baseline so we can assess incidence over followup.
• ID is the participant identifier and newid is a variable i made which is a infection/strain level identifier

So infections are nested within people..im just concerned about the incident rates that im getting, can i interpret them as i normally would? Or should i cluster in some way before i can do that? or instead, should i interpret them entirely differently (wording it in terms of infections?)
The data example:

* Example generated by -dataex-. For more info, type help dataex
clear
input double id float newid double(strain_type visit) float(Oral_Date Result incexit)
10004 1  6  52 18211 0    0
10004 1  6  53 18386 0  175
10004 1  6  54 18561 0  350
10004 1  6  55 18722 0  511
10004 1  6  56 18904 0  693
10004 1  6  57 19086 0  875
10004 1  6  58 19275 0 1064
10004 1  6  59 19457 0 1246
10004 1  6  60 19642 0 1431
10004 1  6  61 19845 0 1634
10004 1  6 102 21116 0 2905
10004 1  6 103 21480 0 3269
10004 2 11  52 18211 0    0
10004 2 11  53 18386 0  175
10004 2 11  54 18561 0  350
10004 2 11  55 18722 0  511
10004 2 11  56 18904 0  693
10004 2 11  57 19086 0  875
10004 2 11  58 19275 0 1064
10004 2 11  59 19457 0 1246
10004 2 11  60 19642 0 1431
10004 2 11  61 19845 0 1634
10004 2 11 102 21116 0 2905
10004 2 11 103 21480 0 3269
10004 3 16  52 18211 0    0
10004 3 16  53 18386 0  175
10004 3 16  54 18561 0  350
10004 3 16  55 18722 0  511
10004 3 16  56 18904 0  693
10004 3 16  57 19086 0  875
10004 3 16  58 19275 0 1064
10004 3 16  59 19457 0 1246
10004 3 16  60 19642 0 1431
10004 3 16  61 19845 0 1634
10004 3 16 102 21116 0 2905
10004 3 16 103 21480 0 3269
10004 4 18  52 18211 0    0
10004 4 18  53 18386 0  175
10004 4 18  54 18561 0  350
10004 4 18  55 18722 0  511
10004 4 18  56 18904 0  693
10004 4 18  57 19086 0  875
10004 4 18  58 19275 0 1064
10004 4 18  59 19457 0 1246
10004 4 18  60 19642 0 1431
10004 4 18  61 19845 0 1634
10004 4 18 102 21116 0 2905
10004 4 18 103 21480 0 3269
end
format %dN/D/CY Oral_Date

Thank you for your time!