Model-informed COVID-19 vaccine prioritization strategies by age and serostatus

被引:497
作者
Bubar, Kate M. [1 ,2 ]
Reinholt, Kyle [3 ]
Kissler, Stephen M. [4 ]
Lipsitch, Marc [4 ,5 ]
Cobey, Sarah [6 ]
Grad, Yonatan H. [4 ]
Larremore, Daniel B. [3 ,7 ]
机构
[1] Univ Colorado, Dept Appl Math, Boulder, CO 80309 USA
[2] Univ Colorado, IQ Biol Program, Boulder, CO 80303 USA
[3] Univ Colorado, Dept Comp Sci, Boulder, CO 80309 USA
[4] Harvard TH Chan Sch Publ Hlth, Dept Immunol & Infect Dis, Boston, MA 02115 USA
[5] Harvard TH Chan Sch Publ Hlth, Ctr Communicable Dis Dynam, Boston, MA 02115 USA
[6] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA
[7] Univ Colorado, Biofrontiers Inst, Boulder, CO 80303 USA
关键词
INFLUENZA VACCINATION; EFFICACY;
D O I
10.1126/science.abe6959
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
Limited initial supply of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine raises the question of how to prioritize available doses. We used a mathematical model to compare five age-stratified prioritization strategies. A highly effective transmission-blocking vaccine prioritized to adults ages 20 to 49 years minimized cumulative incidence, but mortality and years of life lost were minimized in most scenarios when the vaccine was prioritized to adults greater than 60 years old. Use of individual-level serological tests to redirect doses to seronegative individuals improved the marginal impact of each dose while potentially reducing existing inequities in COVID-19 impact. Although maximum impact prioritization strategies were broadly consistent across countries, transmission rates, vaccination rollout speeds, and estimates of naturally acquired immunity, this framework can be used to compare impacts of prioritization strategies across contexts.
引用
收藏
页码:916 / +
页数:37
相关论文
共 72 条
[1]   THE PERFORMANCE OF PROTOCOLS BASED ON LOCKS WITH ORDERED SHARING [J].
AGRAWAL, D ;
ELABBADI, A ;
LANG, AE .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1994, 6 (05) :805-818
[2]  
[Anonymous], WASHINGTON POST
[3]  
[Anonymous], WILL CHILDREN GET CO
[4]  
[Anonymous], 2020, COVID 19 DASHBOARD C
[5]  
[Anonymous], 2020, FRAMEWORK EQUITABLE
[6]  
[Anonymous], 2020, COVID 19 DASHBOARD C
[7]  
[Anonymous], CMAJ, DOI [10.1503/cmaj.201112, DOI 10.1503/CMAJ.201112]
[8]  
Atkinson K. E., 1989, INTRO NUMERICAL ANAL, P56
[9]  
Backer J. A., 2020, PREPRINT, DOI [10.1101/2020.05.18, DOI 10.1101/2020.05.18]
[10]   Limitations of using mobile phone data to model COVID-19 transmission in the USA [J].
Badr, Hamada S. ;
Gardner, Lauren M. .
LANCET INFECTIOUS DISEASES, 2021, 21 (05) :E113-E113