Quantifying previous SARS-CoV-2 infection through mixture modelling of antibody levels
As countries decide on vaccination strategies and how to ease movement restrictions, estimating the proportion of the population previously infected with SARS-CoV-2 is important for predicting the future burden of COVID-19. This proportion is usually estimated from serosurvey data in two steps: firs...
Main Authors: | Bottomley, C, Otiende, M, Uyoga, S, Agweyu, A, Warimwe, GM, Scott, J |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Springer Nature
2021
|
Similar Items
-
Quantifying previous SARS-CoV-2 infection through mixture modelling of antibody levels
by: C. Bottomley, et al.
Published: (2021-10-01) -
Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Kenyan blood donors
by: Uyoga, S, et al.
Published: (2021) -
Comparative performance of WANTAI ELISA for total immunoglobulin to receptor binding protein and an ELISA for IgG to spike protein in detecting SARS-CoV-2 antibodies in Kenyan populations
by: Nyagwange, J, et al.
Published: (2021) -
Seroprevalence of antibodies to SARS-CoV-2 among health care workers in Kenya
by: Etyang, AO, et al.
Published: (2021) -
Are anti-SARS-CoV-2 S/N IgG/IgM antibodies always predictive of previous SARS-CoV-2 infection?
by: Lippi Giuseppe, et al.
Published: (2023-03-01)