ABSTRACT
An epidemiological investigation was conducted on a cluster epidemic of COVID-19 in the vaccinated population in Beijing in 2022, and serum samples were collected from 21 infected cases and 61 close contacts (including 20 cases with positive nucleic acid in the isolation observation period). The results of antibody detection showed that the IgM antibody of two infected persons was positive, and the IgG antibody positive rates of patients who were converted, not converted to positive and infected persons were 36.84% (7/19), 63.41% (26/41) and 71.43% (15/21), respectively. About 98.78% of patients had been vaccinated with the SARS-CoV-2 inactivated vaccine. The positive rate of IgG antibody in patients immunized with three doses of vaccine was 86.00% (43/50), which was higher than that in patients with one or two doses [16.12% (5/31)]. The antibody level of M (Q1, Q3) in patients immunized with three doses was 4.255 (2.303, 7.0375), which was higher than that in patients with one or two doses [0.500 (0.500, 0.500)] (all P values<0.001). The antibody level of patients who were vaccinated less than three months [7.335 (1.909, 7.858)] was higher than that of patients vaccinated more than three months after the last vaccination [2.125 (0.500, 4.418)] (P=0.007). The positive rate and level of IgG antibody in patients who were converted to positive after three doses were 77.78% (7/9) and 4.207 (2.216, 7.099), respectively, which were higher than those in patients who were converted after one or two doses [0 and 0.500 (0.500, 0.500)] (all P values<0.05).
Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Disease Outbreaks , COVID-19 Vaccines , Immunoglobulin G , Antibodies, ViralABSTRACT
In this article, we investigate how the COVID-19 epidemic affects the U.S. information technology (IT) labor market and, accordingly, how organizations choose to hire IT employees in the current situation. Using the second half of 2020 (July-December) dataset of 57 847 IT job postings from a large online employment website, we perform descriptive analysis and logistic regression to examine the relationships between pandemic severity and work arrangements (remote versus on-site), work schedules (part-time versus full time), and organizational sectors (commercial versus government versus nonprofit). Our results reveal that the U.S. IT market in the latter half of 2020 is in turbulence, for both part-time and remote job postings. For governments and nonprofit organizations such as hospitals and schools, 'frontline' IT support professionals were highly prized, whereas commercial employers, including tech giants, were more interested in growing a remote IT workforce. © 1973-2011 IEEE.