Welfare-Maximizing Pooled Testing

Welfare-Maximizing Pooled Testing
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DOI:
10.48550/arxiv.2206.10660
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发表时间:
2022-06
期刊:
Proceedings of the 24th ACM Conference on Economics and Computation
影响因子:
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通讯作者:
Edwin Lock;Francisco Javier Marmolejo-Cossío;Evi Micha;Ariel D. Procaccia
Edwin Lock;Francisco Javier Marmolejo-Cossío;Evi Micha;Ariel D. Procaccia
中科院分区:
其他
文献类型:
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作者:
Edwin Lock;Francisco Javier Marmolejo-Cossío;Evi Micha;Ariel D. Procaccia

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在疫情中,检测资源有限的机构在封城后,该如何安全地回归到面对面的活动中?我们研究这个问题的设置中,人口是异质的,在人的活动和感染的概率的效用。在重新融入社会期间,检测结果可作为未感染的证明,据此,检测结果呈阴性的人可在指定时间内重新参加活动。在样本可以合并的假设下,如何在人群中分配有限的测试预算,以最大限度地提高返回现场活动的阴性测试个体的总效用(即福利)的问题是不平凡的,具有很大的潜在测试分配空间。
In an epidemic, how should an organization with limited testing resources safely return to in-person activities after a lockdown? We study this question in a setting where the population is heterogeneous in both utility for in-person activities and probability of infection. During a period of re-integration, tests can be used as a certificate of non-infection, whereby those in negative tests are permitted to return to in-person activities for a designated amount of time. Under the assumption that samples can be pooled, the question of how to allocate a limited testing budget in the population to maximize the aggregate utility (i.e. welfare) of negatively-tested individuals who return to in-person activities is non-trivial, with a large space of potential testing allocations.