文献类型： 外文期刊
作者： Yang, Luyi 1 ; Cui, Shiliang 2 ; Wang, Zhongbin 3 ;
作者机构： 1.Univ Calif Berkeley, Haas Sch Business, Berkeley, CA 94720 USA
2.Georgetown Univ, McDonough Sch Business, Washington, DC USA
3.Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
关键词： Covid-19; testing; queues; service discipline; priority
期刊名称：PRODUCTION AND OPERATIONS MANAGEMENT （ 影响因子：4.638； 五年影响因子：5.835 ）
ISSN： 1059-1478
年卷期： 2022 年 31 卷 5 期
页码：
收录情况： SCI
摘要： In the event of a virus outbreak such as Covid-19, testing is key. However, long waiting lines at testing facilities often discourage individuals from getting tested. This paper utilizes queueing-game-theoretic models to study how testing facilities should set scheduling and pricing policies to incentivize individuals to test, with the goal to identify the most cases of infection. Our findings are as follows. First, under the first-in-first-out discipline (FIFO), the common practice of making testing free attracts the most testees but may not catch the most cases. Charging a testing fee may surprisingly increase case detection. Second, even though people who show symptoms are more likely to carry the virus, prioritizing these individuals over asymptomatic ones (another common practice) may let more cases go undetected than FIFO testing does. Third, we characterize the optimal scheduling and pricing policy. To maximize case detection, testing can be made free but one should also (partially) prioritize individuals with symptoms when testing demand is high and switch to (partially) prioritize the asymptomatic when testing demand is moderately low.
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