Hematological parameters to predict post-COVID-19 immune response, and
the development of reaching herd immunity. A cross-sectional study
Abstract
Background: Here we conducted this study to find the changes in
the hematological parameters of healthy individuals that can predict
their immune status, also this study aims to find out whether herd
immunity against COVID-19 is developing or not in the Pakistani
population. Methods: A comparative cross-sectional study of 210
healthy individuals was conducted. All individuals were divided into
three groups i.e IgG positive, IgG negative, and IgG and IgM both
positive based on ELISA results. Data analysis was done by SPSS version
25 for windows. Results: A statistically significant effect was
found among the three groups in terms of mean hemoglobin level, mean
hematocrit, mean corpuscular hemoglobin concentration, mean red blood
cells count, RDW-CV, mean lymphocyte, mean neutrophil, mean eosinophils,
and mean basophil. The study also showed that 52.8% (n=74) had neither
taken vaccination nor had any history of previous covid infection but
still their antibodies were positive. Conclusion: There was a
statistically significant difference among hematological parameters
between immune and nonimmune groups and can predict the covid immune
status also the study predicted that herd immunity against COVID-19 is
developing in Pakistan.