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ABSTRACT: Background
Reducing suicidal behaviour (SB) is a critical public health issue globally. The complex interplay of social determinants, service system factors, population demographics, and behavioural dynamics makes it extraordinarily difficult for decision makers to determine the nature and balance of investments required to have the greatest impacts on SB. Real-world experimentation to establish the optimal targeting, timing, scale, frequency, and intensity of investments required across the determinants is unfeasible. Therefore, this study harnesses systems modelling and simulation to guide population-level decision making that represent best strategic allocation of limited resources.Methods
Using a participatory approach, and informed by a range of national, state, and lo
SUBMITTER: Occhipinti JA
PROVIDER: S-EPMC7952221 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature