TY - JOUR
T1 - The co-circulating transmission dynamics of SARS-CoV-2 Alpha and Eta variants in Nigeria: A retrospective modeling study of COVID-19
AU - Zhao, Shi
AU - Musa, Salihu S.
AU - Chong, Marc KC
AU - Ran, Jinjun
AU - Javanbakht, Mohammad
AU - Han, Lefei
AU - Wang, Kai
AU - Hussaini, Nafiu
AU - Habib, Abdulrazaq G.
AU - Wang, Maggie H.
AU - He, Daihai
N1 - Funding Information:
Acknowledgements: The SARS-CoV-2 genetic sequences were retrieved from the global initiative on sharing all influenza data (GISAID) platform via http://platform.gisaid.org/ (accessed on August 1, 2021). We thank the contributions of the submitting and the originating laboratories, and colleagues for helping collected the sequences data. Disclaimer: The funding agencies had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication. Ethics approval and consent to participate: The number of COVID-19 cases and deaths and SARS-CoV-2 sequences data are collected via public domains, and thus neither ethical approval nor individual consent is applicable. Availability of materials: All data used in this work are publicly available. Funding: JR was supported by SJTU Initiation Program for New Youth Teachers (grant number: 21X010501093). KW was supported by the Program for Tianshan Innovative Research Team of Xinjiang Uygur Autonomous Region, China (grant number: 2020D14020). MHW was supported by the National Natural Science Foundation of China [31871340, 71974165], Health and Medical Research Fund, the Food and Health Bureau, The Government of the Hong Kong Special Administrative Region [COVID190103, INF-CUHK-1], and the Chinese University of Hong Kong Grant [PIEF/Ph2/ COVID/06, 4054600]. DH was supported by General Research Fund (grant numbers: 15205119, and C7123-20G) of the Research Grants Council (RGC) of Hong Kong, China.
Publisher Copyright:
© 2021 The Author(s)
PY - 2021/12/25
Y1 - 2021/12/25
N2 - Background The COVID-19 pandemic poses serious threats to public health globally, and the emerging mutations in SARS-CoV-2 genomes has become one of the major challenges of disease control. In the second epidemic wave in Nigeria, the roles of co-circulating SARS-CoV-2 Alpha (ie, B.1.1.7) and Eta (ie, B.1.525) variants in contributing to the epidemiological outcomes were of public health concerns for investigation. Methods: We developed a mathematical model to capture the transmission dynamics of different types of strains in Nigeria. By fitting to the national-wide COVID-19 surveillance data, the transmission advantages of SARS-CoV-2 variants were estimated by likelihood-based inference framework. Results The reproduction numbers were estimated to decrease steadily from 1.5 to 0.8 in the second epidemic wave. In December 2020, when both Alpha and Eta variants were at low prevalent levels, their transmission advantages (against the wild type) were estimated at 1.51 (95% credible intervals (CrI) = 1.48, 1.54), and 1.56 (95% CrI = 1.54, 1.59), respectively. In January 2021, when the original variants almost vanished, we estimated a weak but significant transmission advantage of Eta against Alpha variants with 1.14 (95% CrI = 1.11, 1.16). Conclusions Our findings suggested evidence of the transmission advantages for both Alpha and Eta variants, of which Eta appeared slightly more infectious than Alpha. We highlighted the critical importance of COVID-19 control measures in mitigating the outbreak size and relaxing the burdens to health care systems in Nigeria.
AB - Background The COVID-19 pandemic poses serious threats to public health globally, and the emerging mutations in SARS-CoV-2 genomes has become one of the major challenges of disease control. In the second epidemic wave in Nigeria, the roles of co-circulating SARS-CoV-2 Alpha (ie, B.1.1.7) and Eta (ie, B.1.525) variants in contributing to the epidemiological outcomes were of public health concerns for investigation. Methods: We developed a mathematical model to capture the transmission dynamics of different types of strains in Nigeria. By fitting to the national-wide COVID-19 surveillance data, the transmission advantages of SARS-CoV-2 variants were estimated by likelihood-based inference framework. Results The reproduction numbers were estimated to decrease steadily from 1.5 to 0.8 in the second epidemic wave. In December 2020, when both Alpha and Eta variants were at low prevalent levels, their transmission advantages (against the wild type) were estimated at 1.51 (95% credible intervals (CrI) = 1.48, 1.54), and 1.56 (95% CrI = 1.54, 1.59), respectively. In January 2021, when the original variants almost vanished, we estimated a weak but significant transmission advantage of Eta against Alpha variants with 1.14 (95% CrI = 1.11, 1.16). Conclusions Our findings suggested evidence of the transmission advantages for both Alpha and Eta variants, of which Eta appeared slightly more infectious than Alpha. We highlighted the critical importance of COVID-19 control measures in mitigating the outbreak size and relaxing the burdens to health care systems in Nigeria.
UR - http://www.scopus.com/inward/record.url?scp=85124306017&partnerID=8YFLogxK
U2 - 10.7189/JOGH.11.05028
DO - 10.7189/JOGH.11.05028
M3 - Journal article
C2 - 35136591
AN - SCOPUS:85124306017
SN - 2047-2978
VL - 11
SP - 1
EP - 10
JO - Journal of Global Health
JF - Journal of Global Health
M1 - 05028
ER -