Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19

被引:4
作者
Castonguay, Francois M. [1 ]
Blackwood, Julie C. [2 ]
Howerton, Emily [3 ]
Shea, Katriona [3 ]
Sims, Charles [4 ]
Sanchirico, James N. [5 ,6 ]
机构
[1] Univ Calif Davis, Dept Agr & Resource Econ, Davis, CA 95616 USA
[2] Williams Coll, Dept Math & Stat, Williamstown, MA 01267 USA
[3] Penn State Univ, Ctr Infect Dis Dynam, Dept Biol, University Pk, PA 16802 USA
[4] Univ Tennessee, Howard H Baker Jr Ctr Publ Policy, Dept Econ, Knoxville, TN 37996 USA
[5] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA
[6] Resources Future Inc, Washington, DC 20036 USA
基金
美国食品与农业研究所; 美国国家科学基金会;
关键词
INFECTIOUS-DISEASES; ALLOCATION; MODEL; FRAMEWORK; EPIDEMICS;
D O I
10.1038/s41598-023-28697-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The COVID-19 Vaccines Global Access (COVAX) is a World Health Organization (WHO) initiative that aims for an equitable access of COVID-19 vaccines. Despite potential heterogeneous infection levels across a country, countries receiving allotments of vaccines may follow WHO's allocation guidelines and distribute vaccines based on a jurisdictions' relative population size. Utilizing economic-epidemiological modeling, we benchmark the performance of this pro rata allocation rule by comparing it to an optimal one that minimizes the economic damages and expenditures over time, including a penalty representing the social costs of deviating from the pro rata strategy. The pro rata rule performs better when the duration of naturally- and vaccine-acquired immunity is short, when there is population mixing, when the supply of vaccine is high, and when there is minimal heterogeneity in demographics. Despite behavioral and epidemiological uncertainty diminishing the performance of the optimal allocation, it generally outperforms the pro rata vaccine distribution rule.
引用
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页数:14
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