Comparing the incubation period, serial interval, and infectiousness profile between SARS-CoV-2 Omicron and Delta variants

被引:14
作者
Guo, Zihao [1 ]
Zhao, Shi [1 ]
Mok, Chris Ka Pun [1 ,2 ]
So, Ray T. Y. [3 ]
Yam, Carrie Ho Kwan [1 ,4 ]
Chow, Tsz Yu [1 ,4 ]
Chan, Tony Chin Pok [5 ]
Wei, Yuchen [1 ,4 ]
Jia, Katherine Min [6 ]
Wang, Maggie Haitian [1 ]
Chong, Ka Chun [1 ,4 ]
Yeoh, Eng Kiong [1 ,4 ]
机构
[1] Chinese Univ Hong Kong, Fac Med, Jockey Club Sch Publ Hlth & Primary Care, Shatin, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Li Ka Shing Inst Hlth Sci, Fac Med, Hong Kong, Peoples R China
[3] Univ Hong Kong, Sch Publ Hlth, Li Ka Shing Fac Med, Hong Kong, Peoples R China
[4] Chinese Univ Hong Kong, Fac Med, Ctr Hlth Syst & Policy Res, Shatin, Hong Kong, Peoples R China
[5] Chinese Univ Hong Kong, Stanley Ho Ctr Emerging Infect Dis, Hong Kong, Peoples R China
[6] Harvard TH Chan Sch Publ Hlth, Ctr Communicable Dis Dynam, Dept Epidemiol, Boston, MA USA
基金
中国国家自然科学基金;
关键词
incubation period; Omicron variants; presymptomatic transmission; SARS-CoV-2; serial interval; viral shedding; COVID-19;
D O I
10.1002/jmv.28648
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
In January 2022, the SARS-CoV-2 Omicron variants initiated major outbreaks and dominated the transmissions in Hong Kong, displacing an earlier outbreak seeded by the Delta variants. To provide insight into the transmission potential of the emerging variants, we aimed to compare the epidemiological characteristics of the Omicron and Delta variants. We analyzed the line-list clinical and contact tracing data of the SARS-CoV-2 confirmed cases in Hong Kong. Transmission pairs were constructed based on the individual contact history. We fitted bias-controlled models to the data to estimate the serial interval, incubation period and infectiousness profile of the two variants. Viral load data were extracted and fitted to the random effect models to investigate the potential risk modifiers for the clinical viral shedding course. Totally 14 401 confirmed cases were reported between January 1 and February 15, 2022. The estimated mean serial interval (4.4 days vs. 5.8 days) and incubation period (3.4 days vs. 3.8 days) were shorter for the Omicron than the Delta variants. A larger proportion of presymptomatic transmission was observed for the Omicron (62%) compared to the Delta variants (48%). The Omicron cases had higher mean viral load over an infection course than the Delta cases, with the elder cases appearing more infectious than the younger cases for both variants. The epidemiological features of Omicron variants were likely an obstacle to contact tracing measures, imposed as a major intervention in settings like Hong Kong. Continuously monitoring the epidemiological feature for any emerging SARS-CoV-2 variants in the future is needed to assist officials in planning measures for COVID-19 control.
引用
收藏
页数:10
相关论文
共 41 条
  • [1] Serial Intervals and Case Isolation Delays for Coronavirus Disease 2019: A Systematic Review and Meta-Analysis
    Ali, Sheikh Taslim
    Yeung, Amy
    Shan, Songwei
    Wang, Lin
    Gao, Huizhi
    Du, Zhanwei
    Xu, Xiao-Ke
    Wu, Peng
    Lau, Eric H. Y.
    Cowling, Benjamin J.
    [J]. CLINICAL INFECTIOUS DISEASES, 2022, 74 (04) : 685 - 694
  • [2] Serial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions
    Ali, Sheikh Taslim
    Wang, Lin
    Lau, Eric H. Y.
    Xu, Xiao-Ke
    Du, Zhanwei
    Wu, Ye
    Leung, Gabriel M.
    Cowling, Benjamin J.
    [J]. SCIENCE, 2020, 369 (6507) : 1106 - +
  • [3] Andrews N, 2022, NEW ENGL J MED, V386, P1532, DOI [10.1016/S1473-3099(22)00309-7, 10.1056/NEJMoa2119451]
  • [4] [Anonymous], COVID 19 VACC PROGR
  • [5] [Anonymous], 2020, NEW ENGL J MED, DOI DOI 10.1056/NEJMOA2001316
  • [6] Shorter serial intervals in SARS-CoV-2 cases with Omicron BA.1 variant compared with Delta variant, the Netherlands, 13 to 26 December 2021
    Backer, Jantlen A.
    Eggink, Dirk
    Andeweg, Stijn P.
    Veldhuizen, Irene K.
    van Maarseveen, Noortje
    Vermaas, Klaas
    Vlaemynck, Boris
    Schepers, Raf
    van den Hof, Susan
    Reusken, Chantal B. E. M.
    Wallinga, Jacco
    [J]. EUROSURVEILLANCE, 2022, 27 (06)
  • [7] Characterization of Unlinked Cases of COVID-19 and Implications for Contact Tracing Measures: Retrospective Analysis of Surveillance Data
    Chong, Ka Chun
    Jia, Katherine
    Lee, Shui Shan
    Hung, Chi Tim
    Wong, Ngai Sze
    Lai, Francisco Tsz Tsun
    Chau, Nancy
    Yam, Carrie Ho Kwan
    Chow, Tsz Yu
    Wei, Yuchen
    Guo, Zihao
    Yeoh, Eng Kiong
    [J]. JMIR PUBLIC HEALTH AND SURVEILLANCE, 2021, 7 (11):
  • [8] Molecular Diagnosis of a Novel Coronavirus (2019-nCoV) Causing an Outbreak of Pneumonia
    Chu, Daniel K. W.
    Pan, Yang
    Cheng, Samuel M. S.
    Hui, Kenrie P. Y.
    Krishnan, Pavithra
    Liu, Yingzhi
    Ng, Daisy Y. M.
    Wan, Carrie K. C.
    Yang, Peng
    Wang, Quanyi
    Peiris, Malik
    Poon, Leo L. M.
    [J]. CLINICAL CHEMISTRY, 2020, 66 (04) : 549 - 555
  • [9] Secondary Attack Rate, Transmission and Incubation Periods, and Serial Interval of SARS-CoV-2 Omicron Variant, Spain
    Del Aguila-Mejia, Javier
    Wallmann, Reinhard
    Calvo-Montes, Jorge
    Rodriguez-Lozano, Jesus
    Valle-Madrazo, Trinidad
    Aginagalde-Llorente, Adrian
    [J]. EMERGING INFECTIOUS DISEASES, 2022, 28 (06) : 1224 - 1228
  • [10] Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
    Ferretti, Luca
    Wymant, Chris
    Kendall, Michelle
    Zhao, Lele
    Nurtay, Anel
    Abeler-Dorner, Lucie
    Parker, Michael
    Bonsall, David
    Fraser, Christophe
    [J]. SCIENCE, 2020, 368 (6491) : 619 - +