Literature DB >> 35152854

Genomic and serological assessment of asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in child labor.

Niloofar Najafi1, Hoorieh Soleimanjahi1, Shadab Shahali2, Mahmoud Reza Pourkarim3, Marijn Thijssen3, Fatemeh Fotouhi4, Taravat Bamdad1, Kayhan Azadmanesh4, Zeynab Nasiri1, Neda Afzali4, Mohammad Reza Jabbari1, Atefeh Yari1, Hesam Karimi1, Mohammad Hadi Karbalaei Niya5.   

Abstract

Since working children have limited access to testing and monitoring for COVID-19, we decided to measure SARS-CoV-2 prevalence among them and compare it to non-working children. Our objective is to compare the frequency of SARS-CoV-2 genome and anti-SARS-CoV-2 antibody among working and non-working children. Volunteer child labor studying at Defense of Child Labor and Street Children and randomly selected 5-18-year-old (same range as child labor group) unemployed children participated in this study. The groups, respectively, had 65 and 137 members. This is an analytical cross-sectional study that surveys molecular prevalence of SARS-CoV-2 infection by RT-PCR, and seroprevalence of SARS-CoV-2 antibody by ELISA in working and non-working children. The IBM SPSS statistics software version 25 was used for data analysis. The χ2 or Fisher's exact test was used to analyze categorical dependent variables, for calculating odds ratios and 95% confidence intervals. Among the children enrolled in this study, molecular prevalence of SARS-CoV-2 turned out to be 18.5% in working children while it was 5.8% in unemployed children [aOR: 3.00 (CI95%: 1.00-7.00); P value: 0.003] and seroprevalence turned out to be 20% in working children vs 13.9% in non-working children [aOR: 1.000 (CI95%: 0.00-2.00); > P 0.001]. Equal SARS-CoV-2 viral load as adults and no symptoms or mild ones in children, coupled with working children's strong presence in crowded areas and their higher rate of COVID-19 prevalence, make them a probable source for spread of the virus.

Entities:  

Keywords:  COVID-19; ELISA; RT-PCR; SARS-CoV-2; working children

Mesh:

Substances:

Year:  2022        PMID: 35152854      PMCID: PMC9518237          DOI: 10.1080/20477724.2022.2038052

Source DB:  PubMed          Journal:  Pathog Glob Health        ISSN: 2047-7724            Impact factor:   3.735


  17 in total

1.  Inappropriate Nasopharyngeal Sampling for SARS-CoV-2 Detection Is a Relevant Cause of False-Negative Reports.

Authors:  Antonio Piras; Davide Rizzo; Sergio Uzzau; Giacomo De Riu; Salvatore Rubino; Francesco Bussu
Journal:  Otolaryngol Head Neck Surg       Date:  2020-05-26       Impact factor: 3.497

2.  Whole time domestic child labor in metropolitan city of Kolkata.

Authors:  S R Banerjee; P Bharati; T S Vasulu; S Chakrabarty; P Banerjee
Journal:  Indian Pediatr       Date:  2008-07       Impact factor: 1.411

3.  Work-related injuries with child labor in Iran.

Authors:  Mehrdad Hosseinpour; Mahdi Mohammadzadeh; Maryam Atoofi
Journal:  Eur J Pediatr Surg       Date:  2013-10-25       Impact factor: 2.191

4.  Comparison of clinical severity and epidemiological spectrum between coronavirus disease 2019 and influenza in children.

Authors:  Maria Pokorska-Śpiewak; Ewa Talarek; Jolanta Popielska; Karolina Nowicka; Agnieszka Ołdakowska; Konrad Zawadka; Barbara Kowalik-Mikołajewska; Anna Tomasik; Anna Dobrzeniecka; Marta Lipińska; Beata Krynicka-Czech; Urszula Coupland; Aleksandra Stańska-Perka; Małgorzata Ludek; Magdalena Marczyńska
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

5.  Epidemiology and clinical features of coronavirus disease 2019 in children.

Authors:  Soo-Han Choi; Han Wool Kim; Ji-Man Kang; Dong Hyun Kim; Eun Young Cho
Journal:  Clin Exp Pediatr       Date:  2020-04-06

6.  The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2.

Authors: 
Journal:  Nat Microbiol       Date:  2020-03-02       Impact factor: 17.745

7.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

8.  COVID-19 in children: the link in the transmission chain.

Authors:  Alyson A Kelvin; Scott Halperin
Journal:  Lancet Infect Dis       Date:  2020-03-25       Impact factor: 25.071

9.  Spillover Trends of Child Labor During the Coronavirus Crisis- an Unnoticed Wake-Up Call.

Authors:  Md Abdul Ahad; Yvonne K Parry; Eileen Willis
Journal:  Front Public Health       Date:  2020-09-04

Review 10.  Estimating the false-negative test probability of SARS-CoV-2 by RT-PCR.

Authors:  Paul S Wikramaratna; Robert S Paton; Mahan Ghafari; José Lourenço
Journal:  Euro Surveill       Date:  2020-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.