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Allocation of COVID-19 testing budget on a commute network of counties
Stat ( IF 0.7 ) Pub Date : 2021-12-06 , DOI: 10.1002/sta4.441 Yaxuan Huang 1 , Zheng Tracy Ke 2 , Jiashun Jin 3
Stat ( IF 0.7 ) Pub Date : 2021-12-06 , DOI: 10.1002/sta4.441 Yaxuan Huang 1 , Zheng Tracy Ke 2 , Jiashun Jin 3
Affiliation
The screening testing is an effective tool to control the early spread of an infectious disease such as COVID-19. When the total testing capacity is limited, we aim to optimally allocate testing resources among n counties. We build a (weighted) commute network on counties, with the weight between two counties a decreasing function of their traffic distance. We introduce a network-based disease model, in which the number of newly confirmed cases of each county depends on the numbers of hidden cases of all counties on the network. Our proposed testing allocation strategy first uses historical data to learn model parameters and then decides the testing rates for all counties by solving an optimization problem. We apply the method on the commute networks of Massachusetts, USA and Hubei, China, and observe its advantages over testing allocation strategies that ignore the network structure. Our approach can also be extended to study the vaccine allocation problem.
更新日期：2021-12-06
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