Ontology highlight
ABSTRACT:
SUBMITTER: Kompas T
PROVIDER: S-EPMC7347195 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
PloS one 20200709 7
Decisions surrounding the presence of infectious diseases are typically made in the face of considerable uncertainty. However, the development of models to guide these decisions has been substantially constrained by computational difficulty. This paper focuses on the case of finding the optimal level of surveillance against a highly infectious animal disease where time, space and randomness are fully considered. We apply the Sample Average Approximation approach to solve our problem, and to cont ...[more]