Table 8. Recommendations for Decision-makers.

Recommendations	Why this is important
Strengthen evidence systems, including data accessibility and transparency	•   If the underlying data that are used to inform models are inaccurate, the evidence produced can be confusing to decision-makers and is less likely to be used
Improve coordination with the modeling / research community through formal arrangements, technical working groups, or other structures	•   Governments have convening power to bring different partners together from government, civil society, research and academic institutions, and funders. Build on the engagement mechanisms that worked well during COVID19 – improved coordination can facilitate routine sharing among different partners and improve the robustness of the evidence
Build a culture of evidence use by incentivizing evidence use – strengthen capacity and promote a culture of learning	•   Decision-makers are more likely to use evidence, when the routinely engage with researchers and know how to find, appraise, and apply evidence     •   A culture of learning that promotes iterative modeling activities helps to ensure decision-maker and community needs are prioritized
Increase funding for public health disease modeling	•   To improve the use of modeled evidence in decision-making sustained support for strengthening the capacity of modelers, knowledge brokers, and decision-makers is critical