| خلاصه مقاله | Background: Accurate diagnosis, appropriate treatment, and vaccination with the
highest quality science is the most effective way to break the COVID‑19
pandemic.
Methods: In a cross-sectional study, the IgM/IgG antibodies as well as age and sex
were evaluated in the individuals suspected or infected with COVID-19, referred to
the Maragheh Pathobiology/Iran from March 2020 to March 2021. The Chi-Square
test, independent sample t-test, bivariate correlation, and linear regression tests
were used to evolution the relationships by SPSS. 26.
Results: For 628 participants, the positivity rates of IgM, IgG, and either IgM or
IgG were 16.4%, 36.6%, and 38.7%, respectively. There were no differences in
gender regarding the positivity rates and antibodies; however, antibodies’ levels
were higher in males than females. There was a significant difference between2
prevalence and level of both antibodies with age (IgG in all participants: r=0.12
and in positive participants r=0.16) while age could be a predictive factor for those
(Beta coefficient IgM= 0.13, 0.12 and IgG= 0.23, and 0.26 for all and positive
participants, respectively) with best estimates for patients aged 60 years or above.
Conclusions: Age and sex variables could be considered in studies on interpreting
the results, treatment, and most importantly, for development of vaccines against
the COVID-19 |