A novel method to estimate the indirect community benefit of HIV interventions using a microsimulation model of HIV disease
Authors
-
Pooyan
Kazemian
-
Sydney
Costantini
-
Anne
M
.
Neilan
-
Stephen
C
.
Resch
-
Rochelle
P
.
Walensky
-
Milton
C
.
Weinstein
-
Kenneth
A
.
Freedberg
Published
Journal of Biomedical Informatics, vol.
107, pp.
103475,
2020
Abstract
Microsimulation models of human immunodeficiency virus (HIV) disease that simulate individual patients one at a time and assess clinical and economic outcomes of HIV interventions often provide key details regarding direct individual clinical benefits (“individual benefit”), but they may lack detail on transmissions, and thus may underestimate an intervention’s indirect benefits (“community benefit”). Dynamic transmission models can be used to simulate HIV transmissions, but they may do so at the expense of the clinical detail of microsimulations. We sought to develop, validate, and demonstrate a practical, novel method that can be integrated into existing HIV microsimulation models to capture this community benefit, integrating the effects of reduced transmission while keeping the clinical detail of microsimulations.