Date of Award
8-10-2021
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Biology
First Advisor
Julia Hilliard
Second Advisor
David Katz
Third Advisor
Richard Dix
Abstract
Zika virus (ZIKV) was declared as “Public Health Emergency of International Concern” in 2016. Differentiating ZIKV recent infections (< 12 weeks post symptom onset) from past infections (> 12 weeks post symptom onset) is a significant challenge of serological test, which is widely used to detect ZIKV infections. We developed ZIKV NS1 IgM and IgG capture ELISAs and applied four indicators: IgM values, capture IgM/IgG ratios, IgG avidity, combined IgG avidity and capture IgM/IgG ratios, to differentiate ZIKV recent and past infection for a cohort of serum collected in ZIKV epidemic regions of Bogota, Colombia. The sensitivity for differentiating ZIKV recent and past infections using each of the four indicators is: 54.78%, 54.88%, 40.68%, and 31.25%, respectively. The specificity for differentiating ZIKV recent and past infection using each of the four indicators is: 62.50%, 84.21%, 58.33%, and 47.37%, respectively.
DOI
https://doi.org/10.57709/24084171
Recommended Citation
Zhu, Jinjin, "Development of IgM and IgG capture ELISAs for differentiating ZIKV recent and past infection." Thesis, Georgia State University, 2021.
doi: https://doi.org/10.57709/24084171
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