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The co-circulating transmission dynamics of SARS-CoV-2 Alpha and Eta variants in Nigeria: A retrospective modeling study of COVID-19.
Zhao, Shi; Musa, Salihu S; Chong, Marc Kc; Ran, Jinjun; Javanbakht, Mohammad; Han, Lefei; Wang, Kai; Hussaini, Nafiu; Habib, Abdulrazaq G; Wang, Maggie H; He, Daihai.
  • Zhao S; JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
  • Musa SS; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Chong MK; Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Ran J; Department of Mathematics, Kano University of Science and Technology, Wudil, Nigeria.
  • Javanbakht M; JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
  • Han L; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Wang K; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Hussaini N; Nephrology and Urology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Habib AG; School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wang MH; Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
  • He D; Department of Mathematical Sciences, Bayero University, Kano, Nigeria.
J Glob Health ; 11: 05028, 2021.
Article Dans Anglais | MEDLINE | ID: covidwho-1687375
ABSTRACT

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.
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Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE Sujet Principal: SARS-CoV-2 / COVID-19 Type d'étude: Étude observationnelle Les sujets: Variantes Limites du sujet: Humains Pays comme sujet: Afrique langue: Anglais Revue: J Glob Health Année: 2021 Type de document: Article Pays d'affiliation: Jogh.11.05028

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Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE Sujet Principal: SARS-CoV-2 / COVID-19 Type d'étude: Étude observationnelle Les sujets: Variantes Limites du sujet: Humains Pays comme sujet: Afrique langue: Anglais Revue: J Glob Health Année: 2021 Type de document: Article Pays d'affiliation: Jogh.11.05028