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Serological Screening of Suspected COVID-19 Patients in Pakistan.

Authors: Sajid, Ali; Anees, Muhammad; Tariq, Mehar; Najeeb Ur, Rehman; Nourin, Mehmood; Waseem, Iqbal;

Serological Screening of Suspected COVID-19 Patients in Pakistan.

Abstract

To determine the antibody levels (IgM and IgG), using ELISA in suspected patients of COVID-19.Descriptive cross-sectional study. Place & Duration of Study: Real Time PCR Diagnostic and Research Laboratory, Peshawar, Khyber Pakhtunkhwa, Pakistan, from May to July 2020.A total of 94 blood specimens were collected from suspected COVID-19 patients. The antibody levels (IgG and IgM) were determined, using a COVID-19 ELISA IgG and IgM kit.Out of a total 94 serum specimens, specimens were predominantly collected from males (70.2%, n=66) as compared to females (29.8%, n=28). Amongst six different age groups, the majority of the samples were found in the 31-45 years, 16-30 years, and 46-60 years groups, 42.6% (n=40), 23.4% (n=22) and 22.3% (n=21), respectively. Of the 94 suspected COVID-19 patients' serum specimens, IgG and IgM were detected in 29.8% (n=28) and 39.4% (n=37), specimens, respectively. The IgG antibodies were detected more in males (60.0%, n=18) than females (40.0%, n=12) samples. Similarly, IgM antibodies were also found more frequently in males (61.1%, n=22) as compared to females (38.9%, n=14).Detection of antibodies in COVID-19 infected patients provides vital clinical information for clinicians and could be used for the identification of suspected cases. Moreover, males were more prone to disease compared to females, and the 31-45 years age group was also more affected. Key Words: Serological assays, IgG, IgM, Peshawar, Pakistan.

Keywords

Adult, Male, Cross-Sectional Studies, Immunoglobulin M, SARS-CoV-2, COVID-19, Humans, Female, Pakistan, Middle Aged, Antibodies, Viral, Sensitivity and Specificity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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