Author: Lloyd A. C. Chapman; Simon E. F. Spencer; Timothy M. Pollington; Chris P. Jewell; Dinesh Mondal; Jorge Alvar; T. Deirdre Hollingsworth; Mary M. Cameron; Caryn Bern; Graham F. Medley
Title: Inferring transmission trees to guide targeting of interventions against visceral leishmaniasis and post-kala-azar dermal leishmaniasis Document date: 2020_2_25
ID: nqn1qzcu_27
Snippet: VL onset-to-treatment time distribution. Several VL cases with onset before 2002 have missing symptom onset and/or treatment times (only their onset year is recorded), and may therefore have been infectious at the start of the study period. In order to be able to infer the onset-to-treatment times of these cases, OT Õ j = min(R Õ j , D Õ j ) ≠I Õ j (j = 1, . . . , nI 0 ), in the MCMC algorithm 121 (see below) we model the onset-to-treatmen.....
Document: VL onset-to-treatment time distribution. Several VL cases with onset before 2002 have missing symptom onset and/or treatment times (only their onset year is recorded), and may therefore have been infectious at the start of the study period. In order to be able to infer the onset-to-treatment times of these cases, OT Õ j = min(R Õ j , D Õ j ) ≠I Õ j (j = 1, . . . , nI 0 ), in the MCMC algorithm 121 (see below) we model the onset-to-treatment time distribution as a negative binomial distribution NB(r1, p1) and fit to the 122 onset-to-treatment times of all VL cases for whom both onset and treatment times were recorded ( Figure S2A ):
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