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Published in: BMC Medicine 1/2021

01-12-2021 | COVID-19 Vaccination | Research article

Who should be prioritized for COVID-19 vaccination in China? A descriptive study

Authors: Juan Yang, Wen Zheng, Huilin Shi, Xuemei Yan, Kaige Dong, Qian You, Guangjie Zhong, Hui Gong, Zhiyuan Chen, Mark Jit, Cecile Viboud, Marco Ajelli, Hongjie Yu

Published in: BMC Medicine | Issue 1/2021

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Abstract

Background

All countries are facing decisions about which population groups to prioritize for access to COVID-19 vaccination after the first vaccine products have been licensed, at which time supply shortages are inevitable. Our objective is to define the key target populations, their size, and priority for a COVID-19 vaccination program in the context of China.

Methods

On the basis of utilitarian and egalitarian principles, we define and estimate the size of tiered target population groups for a phased introduction of COVID-19 vaccination, considering evolving goals as vaccine supplies increase, detailed information on the risk of illness and transmission, and past experience with vaccination during the 2009 influenza pandemic. Using publicly available data, we estimated the size of target population groups, and the number of days needed to vaccinate 70% of the target population. Sensitivity analyses considered higher vaccine coverages and scaled up vaccine delivery relative to the 2009 pandemic.

Results

Essential workers, including staff in the healthcare, law enforcement, security, nursing homes, social welfare institutes, community services, energy, food and transportation sectors, and overseas workers/students (49.7 million) could be prioritized for vaccination to maintain essential services in the early phase of a vaccination program. Subsequently, older adults, individuals with underlying health conditions and pregnant women (563.6 million) could be targeted for vaccination to reduce the number of individuals with severe COVID-19 outcomes, including hospitalizations, critical care admissions, and deaths. In later stages, the vaccination program could be further extended to target adults without underlying health conditions and children (784.8 million), in order to reduce symptomatic infections and/or to stop virus transmission. Given 10 million doses administered per day, and a two-dose vaccination schedule, it would take 1 week to vaccinate essential workers but likely up to 7 months to vaccinate 70% of the overall population.

Conclusions

The proposed framework is general but could assist Chinese policy-makers in the design of a vaccination program. Additionally, this exercise could be generalized to inform other national and regional strategies for use of COVID-19 vaccines, especially in low- and middle-income countries.
Appendix
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Literature
1.
go back to reference Li Z, Chen Q, Feng L, Rodewald L, Xia Y, Yu H, Zhang R, An Z, Yin W, Chen W, et al. Active case finding with case management: the key to tackling the COVID-19 pandemic. Lancet. 2020;396(10243):63–70.CrossRef Li Z, Chen Q, Feng L, Rodewald L, Xia Y, Yu H, Zhang R, An Z, Yin W, Chen W, et al. Active case finding with case management: the key to tackling the COVID-19 pandemic. Lancet. 2020;396(10243):63–70.CrossRef
6.
go back to reference Pan A, Liu L, Wang C, Guo H, Hao X, Wang Q, Huang J, He N, Yu H, Lin X, et al. Association of Public Health Interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China. JAMA. 2020;323(19):1915–23.CrossRef Pan A, Liu L, Wang C, Guo H, Hao X, Wang Q, Huang J, He N, Yu H, Lin X, et al. Association of Public Health Interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China. JAMA. 2020;323(19):1915–23.CrossRef
14.
go back to reference Wang J, Jing R, Lai X, Zhang H, Lyu Y, Knoll MD, Fang H. Acceptance of COVID-19 vaccination during the COVID-19 pandemic in China. Vaccines. 2020;8(3):482.CrossRef Wang J, Jing R, Lai X, Zhang H, Lyu Y, Knoll MD, Fang H. Acceptance of COVID-19 vaccination during the COVID-19 pandemic in China. Vaccines. 2020;8(3):482.CrossRef
15.
go back to reference Lazarus JV, Ratzan SC, Palayew A, Gostin LO, Larson HJ, Rabin K, Kimball S, El-Mohandes A. A global survey of potential acceptance of a COVID-19 vaccine. Nat Med. 2020:1–4. Lazarus JV, Ratzan SC, Palayew A, Gostin LO, Larson HJ, Rabin K, Kimball S, El-Mohandes A. A global survey of potential acceptance of a COVID-19 vaccine. Nat Med. 2020:1–4.
16.
go back to reference Reed C, Biggerstaff M, Finelli L, Koonin LM, Beauvais D, Uzicanin A, Plummer A, Bresee J, Redd SC, Jernigan DB. Novel framework for assessing epidemiologic effects of influenza epidemics and pandemics. Emerg Infect Dis. 2013;19(1):85–91.CrossRef Reed C, Biggerstaff M, Finelli L, Koonin LM, Beauvais D, Uzicanin A, Plummer A, Bresee J, Redd SC, Jernigan DB. Novel framework for assessing epidemiologic effects of influenza epidemics and pandemics. Emerg Infect Dis. 2013;19(1):85–91.CrossRef
17.
go back to reference Freitas ARR, Napimoga M, Donalisio MR. Assessing the severity of COVID-19. Epidemiol Serv Saude. 2020;29(2):e2020119.PubMed Freitas ARR, Napimoga M, Donalisio MR. Assessing the severity of COVID-19. Epidemiol Serv Saude. 2020;29(2):e2020119.PubMed
22.
go back to reference Zimmerman RK. Rationing of influenza vaccine during a pandemic: ethical analyses. Vaccine. 2007;25(11):2019–26.CrossRef Zimmerman RK. Rationing of influenza vaccine during a pandemic: ethical analyses. Vaccine. 2007;25(11):2019–26.CrossRef
23.
go back to reference Chatterjee P, Anand T, Singh KJ, Rasaily R, Singh R, Das S, Singh H, Praharaj I, Gangakhedkar RR, Bhargava B, et al. Healthcare workers & SARS-CoV-2 infection in India: A case-control investigation in the time of COVID-19. Indian J Med Res. 151(5):459–67. Chatterjee P, Anand T, Singh KJ, Rasaily R, Singh R, Das S, Singh H, Praharaj I, Gangakhedkar RR, Bhargava B, et al. Healthcare workers & SARS-CoV-2 infection in India: A case-control investigation in the time of COVID-19. Indian J Med Res. 151(5):459–67.
24.
go back to reference Kimball A, Hatfield KM, Arons M, James A, Taylor J, Spicer K, Bardossy AC, Oakley LP, Tanwar S, Chisty Z, et al. Asymptomatic and Presymptomatic SARS-CoV-2 infections in residents of a long-term care skilled nursing facility - King County, Washington, march 2020. MMWR Morb Mortal Wkly Rep. 2020;69(13):377–81.CrossRef Kimball A, Hatfield KM, Arons M, James A, Taylor J, Spicer K, Bardossy AC, Oakley LP, Tanwar S, Chisty Z, et al. Asymptomatic and Presymptomatic SARS-CoV-2 infections in residents of a long-term care skilled nursing facility - King County, Washington, march 2020. MMWR Morb Mortal Wkly Rep. 2020;69(13):377–81.CrossRef
28.
go back to reference Li Q. Research on the optimal allocation of police human resources based on big data. People’s Public Security University of China; 2020. Li Q. Research on the optimal allocation of police human resources based on big data. People’s Public Security University of China; 2020.
31.
go back to reference Clark A, Jit M, Warren-Gash C, Guthrie B, Wang HHX, Mercer SW, Sanderson C, McKee M, Troeger C, Ong KL, et al. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Glob Health. 2020;8(8):e1003–e17.CrossRef Clark A, Jit M, Warren-Gash C, Guthrie B, Wang HHX, Mercer SW, Sanderson C, McKee M, Troeger C, Ong KL, et al. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Glob Health. 2020;8(8):e1003–e17.CrossRef
33.
go back to reference National Health Commission of the People’s Republic of China. China Health Statistical Yearbook: Peking Union Medical College Press; 2020. National Health Commission of the People’s Republic of China. China Health Statistical Yearbook: Peking Union Medical College Press; 2020.
34.
go back to reference Wang YP, Iang J, Zhu J, Zhou GX, Miao L, L. D. Analysis of the perinatal death and related male/female ratio of hospital delivery in China during 1988–1992. J Pract Obstet Gynecol. 2001;17:173–174. Wang YP, Iang J, Zhu J, Zhou GX, Miao L, L. D. Analysis of the perinatal death and related male/female ratio of hospital delivery in China during 1988–1992. J Pract Obstet Gynecol. 2001;17:173–174.
35.
go back to reference Liu B, Gao ES. Risk factors for spontaneous abortion of Chinese married women at reproductive age. China Public Health. 2002;18(7):890–2. Liu B, Gao ES. Risk factors for spontaneous abortion of Chinese married women at reproductive age. China Public Health. 2002;18(7):890–2.
38.
go back to reference Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KSM, Lau EHY, Wong JY, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. 2020;382(13):1199–207.CrossRef Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KSM, Lau EHY, Wong JY, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. 2020;382(13):1199–207.CrossRef
39.
go back to reference Fine P, Eames K, Heymann DL. "herd immunity": a rough guide. Clin Infect Dis. 2011;52(7):911–6.CrossRef Fine P, Eames K, Heymann DL. "herd immunity": a rough guide. Clin Infect Dis. 2011;52(7):911–6.CrossRef
42.
go back to reference Seale H, Kaur R, Wang Q. Acceptance of a vaccine against pandemic influenza A (H1N1) virus amongst healthcare workers in Beijing, China. Vaccine. 2011;29:1605–10.CrossRef Seale H, Kaur R, Wang Q. Acceptance of a vaccine against pandemic influenza A (H1N1) virus amongst healthcare workers in Beijing, China. Vaccine. 2011;29:1605–10.CrossRef
43.
go back to reference Wagner AL, Zhang Y, Mukherjee B, Ding Y, Wells EV, Boulton ML. The impact of supplementary immunization activities on the epidemiology of measles in Tianjin, China. Int J Infect Dis. 2016;45:103–8.CrossRef Wagner AL, Zhang Y, Mukherjee B, Ding Y, Wells EV, Boulton ML. The impact of supplementary immunization activities on the epidemiology of measles in Tianjin, China. Int J Infect Dis. 2016;45:103–8.CrossRef
44.
go back to reference Pranata R, Lim MA, Yonas E, Vania R, Lukito AA, Siswanto BB, Meyer M. Body mass index and outcome in patients with COVID-19: a dose-response meta-analysis. Diab Metab. 2020;S1262–S3636(20):30097–5. Pranata R, Lim MA, Yonas E, Vania R, Lukito AA, Siswanto BB, Meyer M. Body mass index and outcome in patients with COVID-19: a dose-response meta-analysis. Diab Metab. 2020;S1262–S3636(20):30097–5.
45.
go back to reference Zhou Y, Yang Q, Chi J, Dong B, Lv W, Shen L, Wang Y. Comorbidities and the risk of severe or fatal outcomes associated with coronavirus disease 2019: a systematic review and meta-analysis. Int J Infect Dis. 2020;99:47–56.CrossRef Zhou Y, Yang Q, Chi J, Dong B, Lv W, Shen L, Wang Y. Comorbidities and the risk of severe or fatal outcomes associated with coronavirus disease 2019: a systematic review and meta-analysis. Int J Infect Dis. 2020;99:47–56.CrossRef
46.
go back to reference Zheng Z, Peng F, Xu B, Zhao J, Liu H, Peng J, Li Q, Jiang C, Zhou Y, Liu S, et al. Risk factors of critical & mortal COVID-19 cases: a systematic literature review and meta-analysis. J Inf Secur. 2020;81:e16–25. Zheng Z, Peng F, Xu B, Zhao J, Liu H, Peng J, Li Q, Jiang C, Zhou Y, Liu S, et al. Risk factors of critical & mortal COVID-19 cases: a systematic literature review and meta-analysis. J Inf Secur. 2020;81:e16–25.
47.
go back to reference Fang X, Li S, Yu H, Wang P, Zhang Y, Chen Z, Li Y, Cheng L, Li W, Jia H, et al. Epidemiological, comorbidity factors with severity and prognosis of COVID-19: a systematic review and meta-analysis. Aging. 2020;12(13):12493–503.CrossRef Fang X, Li S, Yu H, Wang P, Zhang Y, Chen Z, Li Y, Cheng L, Li W, Jia H, et al. Epidemiological, comorbidity factors with severity and prognosis of COVID-19: a systematic review and meta-analysis. Aging. 2020;12(13):12493–503.CrossRef
48.
go back to reference Zhang J, Wang X, Jia X, Li J, Hu K, Chen G, Wei J, Gong Z, Zhou C, Yu H, et al. Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, China. Clin Microbiol Infec. 2020;26(6):767–72.CrossRef Zhang J, Wang X, Jia X, Li J, Hu K, Chen G, Wei J, Gong Z, Zhou C, Yu H, et al. Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, China. Clin Microbiol Infec. 2020;26(6):767–72.CrossRef
49.
go back to reference Yang J, Zheng Y, Gou X, Pu K, Chen Z, Guo Q, Ji R, Wang H, Wang Y, Zhou Y. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–5.CrossRef Yang J, Zheng Y, Gou X, Pu K, Chen Z, Guo Q, Ji R, Wang H, Wang Y, Zhou Y. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–5.CrossRef
50.
go back to reference Singh AK, Gillies CL, Singh R, Singh A, Chudasama Y, Coles B, Seidu S, Zaccardi F, Davies MJ, Khunti K. Prevalence of co-morbidities and their association with mortality in patients with COVID-19: a systematic review and meta-analysis. Diabetes Obes Metab. 2020;22(10):1915–24.CrossRef Singh AK, Gillies CL, Singh R, Singh A, Chudasama Y, Coles B, Seidu S, Zaccardi F, Davies MJ, Khunti K. Prevalence of co-morbidities and their association with mortality in patients with COVID-19: a systematic review and meta-analysis. Diabetes Obes Metab. 2020;22(10):1915–24.CrossRef
51.
go back to reference Kovalic AJ, Satapathy SK, Thuluvath PJ. Prevalence of chronic liver disease in patients with COVID-19 and their clinical outcomes: a systematic review and meta-analysis. Hepatol Int. 2020;14(5):612–20.CrossRef Kovalic AJ, Satapathy SK, Thuluvath PJ. Prevalence of chronic liver disease in patients with COVID-19 and their clinical outcomes: a systematic review and meta-analysis. Hepatol Int. 2020;14(5):612–20.CrossRef
52.
go back to reference Pastick KA, Nicol MR, Smyth E, Zash R, Boulware DR, Rajasingham R, McDonald EG. A systematic review of treatment and outcomes of pregnant women with COVID-19 – a call for clinical trials. Open Forum Infec Dis. 2020;7(9):ofaa350.CrossRef Pastick KA, Nicol MR, Smyth E, Zash R, Boulware DR, Rajasingham R, McDonald EG. A systematic review of treatment and outcomes of pregnant women with COVID-19 – a call for clinical trials. Open Forum Infec Dis. 2020;7(9):ofaa350.CrossRef
53.
go back to reference Panahi L, Amiri M, Pouy S. Risks of novel coronavirus disease (COVID-19) in pregnancy; a narrative review. Arch Acad Emerg Med. 2020;8(1):e34.PubMedPubMedCentral Panahi L, Amiri M, Pouy S. Risks of novel coronavirus disease (COVID-19) in pregnancy; a narrative review. Arch Acad Emerg Med. 2020;8(1):e34.PubMedPubMedCentral
55.
go back to reference Liu M, Gao Y, Zhang Y, Shi S, Chen Y, Tian J. The association between severe or dead COVID-19 and autoimmune diseases: a systematic review and meta-analysis. J Inf Secur. 2020;81:e93–e5. Liu M, Gao Y, Zhang Y, Shi S, Chen Y, Tian J. The association between severe or dead COVID-19 and autoimmune diseases: a systematic review and meta-analysis. J Inf Secur. 2020;81:e93–e5.
56.
go back to reference Gao Y, Chen Y, Liu M, Shi S, Tian J. Impacts of immunosuppression and immunodeficiency on COVID-19: a systematic review and meta-analysis. J Inf Secur. 2020;81(2):e93–e5. Gao Y, Chen Y, Liu M, Shi S, Tian J. Impacts of immunosuppression and immunodeficiency on COVID-19: a systematic review and meta-analysis. J Inf Secur. 2020;81(2):e93–e5.
57.
go back to reference Wu JT, Leung K, Bushman M, Kishore N, Niehus R, de Salazar PM, Cowling BJ, Lipsitch M, Leung GM. Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China. China Nat Med. 2020;26:506–10.CrossRef Wu JT, Leung K, Bushman M, Kishore N, Niehus R, de Salazar PM, Cowling BJ, Lipsitch M, Leung GM. Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China. China Nat Med. 2020;26:506–10.CrossRef
58.
go back to reference Banerjee A, Pasea L, Harris S, Gonzalez-Izquierdo A, Torralbo A, Shallcross L, Noursadeghi M, Pillay D, Sebire N, Holmes C, et al. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. Lancet. 2020;395(10238):1715–25.CrossRef Banerjee A, Pasea L, Harris S, Gonzalez-Izquierdo A, Torralbo A, Shallcross L, Noursadeghi M, Pillay D, Sebire N, Holmes C, et al. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. Lancet. 2020;395(10238):1715–25.CrossRef
59.
go back to reference Stokes EK, Zambrano LD, Anderson KN, Marder EP, Raz KM, El Burai FS, Tie Y, Fullerton KE. Coronavirus disease 2019 case surveillance - United States, January 22-may 30, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(24):759–65.CrossRef Stokes EK, Zambrano LD, Anderson KN, Marder EP, Raz KM, El Burai FS, Tie Y, Fullerton KE. Coronavirus disease 2019 case surveillance - United States, January 22-may 30, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(24):759–65.CrossRef
60.
go back to reference Zhang J, Klepac P, Read JM, Rosello A, Wang X, Lai S, Li M, Song Y, Wei Q, Jiang H, et al. Patterns of human social contact and contact with animals in Shanghai, China. Sci Rep. 2019;9(1):15141.CrossRef Zhang J, Klepac P, Read JM, Rosello A, Wang X, Lai S, Li M, Song Y, Wei Q, Jiang H, et al. Patterns of human social contact and contact with animals in Shanghai, China. Sci Rep. 2019;9(1):15141.CrossRef
61.
go back to reference Pollán M, Pérez-Gómez B, Pastor-Barriuso R, Oteo J, Hernán MA, Pérez-Olmeda M, Sanmartín JL, Fernández-García A, Cruz I, Fernández de Larrea N, et al. Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study. Lancet. 2020;396(10250):535–44.CrossRef Pollán M, Pérez-Gómez B, Pastor-Barriuso R, Oteo J, Hernán MA, Pérez-Olmeda M, Sanmartín JL, Fernández-García A, Cruz I, Fernández de Larrea N, et al. Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study. Lancet. 2020;396(10250):535–44.CrossRef
62.
go back to reference Stringhini S, Wisniak A, Piumatti G, Azman AS, Lauer SA, Baysson H, De Ridder D, Petrovic D, Schrempft S, Marcus K, et al. Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study. Lancet. 2020;396(10247):313–9.CrossRef Stringhini S, Wisniak A, Piumatti G, Azman AS, Lauer SA, Baysson H, De Ridder D, Petrovic D, Schrempft S, Marcus K, et al. Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study. Lancet. 2020;396(10247):313–9.CrossRef
63.
go back to reference Davies NG, Klepac P, Liu Y, Prem K, Jit M, Group CC-W, Eggo RM. Age-dependent effects in the transmission and control of COVID-19 epidemics. Nat Med. 2020;26(8):1205–11. Davies NG, Klepac P, Liu Y, Prem K, Jit M, Group CC-W, Eggo RM. Age-dependent effects in the transmission and control of COVID-19 epidemics. Nat Med. 2020;26(8):1205–11.
64.
go back to reference Zhang J, Litvinova M, Liang Y, Wang Y, Wang W, Zhao S, Wu Q, Merler S, Viboud C, Vespignani A, et al. Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science. 2020;368(6498):1481–6.CrossRef Zhang J, Litvinova M, Liang Y, Wang Y, Wang W, Zhao S, Wu Q, Merler S, Viboud C, Vespignani A, et al. Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science. 2020;368(6498):1481–6.CrossRef
66.
go back to reference Szablewski CM, Chang KT, Brown MM, Chu VT, Yousaf AR, Anyalechi N, Aryee PA, Kirking HL, Lumsden M, Mayweather E, et al. SARS-CoV-2 transmission and infection among attendees of an overnight camp - Georgia, June 2020. MMWR Morb Mortal Wkly Rep. 2020;69(31):1023–5.CrossRef Szablewski CM, Chang KT, Brown MM, Chu VT, Yousaf AR, Anyalechi N, Aryee PA, Kirking HL, Lumsden M, Mayweather E, et al. SARS-CoV-2 transmission and infection among attendees of an overnight camp - Georgia, June 2020. MMWR Morb Mortal Wkly Rep. 2020;69(31):1023–5.CrossRef
67.
go back to reference Viner RM, Mytton OT, Bonell C, Melendez-Torres GJ, Ward J, Hudson L, Waddington C, Thomas J, Russell S, Klis Fvd et al. Susceptibility to SARS-CoV-2 infection amongst children and adolescents compared with adults: a systematic review and meta-analysis. medRxiv. 2020;https://doi.org/10.1101/2020.05.20.20108126. Viner RM, Mytton OT, Bonell C, Melendez-Torres GJ, Ward J, Hudson L, Waddington C, Thomas J, Russell S, Klis Fvd et al. Susceptibility to SARS-CoV-2 infection amongst children and adolescents compared with adults: a systematic review and meta-analysis. medRxiv. 2020;https://​doi.​org/​10.​1101/​2020.​05.​20.​20108126.
69.
go back to reference Verdoni L, Mazza A, Gervasoni A, Martelli L, Ruggeri M, Ciuffreda M, Bonanomi E, D'Antiga L. An outbreak of severe Kawasaki-like disease at the Italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study. Lancet. 2020;395(10239):1771–8.CrossRef Verdoni L, Mazza A, Gervasoni A, Martelli L, Ruggeri M, Ciuffreda M, Bonanomi E, D'Antiga L. An outbreak of severe Kawasaki-like disease at the Italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study. Lancet. 2020;395(10239):1771–8.CrossRef
70.
go back to reference Liu P, Yang M, Zhao X, Guo Y, Wang L, Zhang J, Lei W, Han W, Jiang F, Liu WJ, et al. Cold-chain transportation in the frozen food industry may have caused a recurrence of COVID-19 cases in destination: successful isolation of SARS-CoV-2 virus from the imported frozen cod package surface. Biosaf Health. 2020;2(4):199–201. Liu P, Yang M, Zhao X, Guo Y, Wang L, Zhang J, Lei W, Han W, Jiang F, Liu WJ, et al. Cold-chain transportation in the frozen food industry may have caused a recurrence of COVID-19 cases in destination: successful isolation of SARS-CoV-2 virus from the imported frozen cod package surface. Biosaf Health. 2020;2(4):199–201.
71.
go back to reference Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, Curtis HJ, Mehrkar A, Evans D, Inglesby P, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430–6.CrossRef Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, Curtis HJ, Mehrkar A, Evans D, Inglesby P, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430–6.CrossRef
72.
go back to reference Khunti K, Singh AK, Pareek M, Hanif W. Is ethnicity linked to incidence or outcomes of covid-19? BMJ. 2020;369:m1548.CrossRef Khunti K, Singh AK, Pareek M, Hanif W. Is ethnicity linked to incidence or outcomes of covid-19? BMJ. 2020;369:m1548.CrossRef
75.
go back to reference Zheng Y, Rodewald L, Yang J, Qin Y, Pang M, Feng L, Yu H. The landscape of vaccines in China: history, classification, supply, and price. BMC Infect Dis. 2018;18(1):502.CrossRef Zheng Y, Rodewald L, Yang J, Qin Y, Pang M, Feng L, Yu H. The landscape of vaccines in China: history, classification, supply, and price. BMC Infect Dis. 2018;18(1):502.CrossRef
Metadata
Title
Who should be prioritized for COVID-19 vaccination in China? A descriptive study
Authors
Juan Yang
Wen Zheng
Huilin Shi
Xuemei Yan
Kaige Dong
Qian You
Guangjie Zhong
Hui Gong
Zhiyuan Chen
Mark Jit
Cecile Viboud
Marco Ajelli
Hongjie Yu
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2021
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-021-01923-8

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