We study optimal testing rates focusing on a Susceptible–Infected–Recovered (SIR) model, which is a simple yet widely applicable epidemic model.

2021/01/04 · We show how to minimize testing needs while maintaining the number of infected individuals below a desired threshold. We find that the optimal policy is ...

By using the concept of observability, we then show that a central planner can estimate the required unknown epidemic state by complementing molecular tests, ...

2024/02/01 · In addition, [3] proposed an optimal control strategy for epidemic mitigation by combining both molecular and serology testing, and [4] further ...

2021/01/04 · Hence, serology tests are an ideal complement to molecular tests for the purpose of estimating aggregate infections—an intuition that is ...

2024/02/17 · We find that the optimal policy is adaptive, with testing rates that depend on the epidemic state. Additionally, we show that such epidemic ...

2021/01/04 · Semantic Scholar extracted view of "Optimal adaptive testing for epidemic control: combining molecular and serology tests" by Daron Acemoglu ...

Optimal adaptive testing for epidemic control: Combining molecular and serology tests. Daron Acemoglu, Alireza Fallah 0001, Andrea Giometto, ...

TL;DR: In this paper, the authors show that the optimal policy is adaptive, with testing rates that depend on the epidemic state, and propose the use of ...

期間: 22:11
投稿: 2021/01/28