Understanding the Patterns of Serological Testing for COVID-19 Pre- and Post-Vaccination Rollout in Michigan.
Understanding the Patterns of Serological Testing for COVID-19 Pre- and Post-Vaccination Rollout in Michigan.
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DOI:
10.3390/jcm10194341
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发表时间:
2021-09-24
影响因子:
3.9
通讯作者:
Fritsche LG
中科院分区:
文献类型:
--
作者:
Zhao Z;Salerno S;Shi X;Lee S;Mukherjee B;Fritsche LG
Testing for SARS-CoV-2 antibodies is commonly used to determine prior COVID-19 infections and to gauge levels of infection- or vaccine-induced immunity. Michigan Medicine, a primary regional health center, provided an ideal setting to understand serologic testing patterns over time. Between 27 April 2020 and 3 May 2021, characteristics for 10,416 individuals presenting for SARS-CoV-2 antibody tests (10,932 tests in total) were collected. Relative to the COVID-19 vaccine roll-out date, 14 December 2020, the data were split into a pre- (8026 individuals) and post-vaccine launch (2587 individuals) period and contrasted with untested individuals to identify factors associated with tested individuals and seropositivity. Exploratory analysis of vaccine-mediated seropositivity was performed in 347 fully vaccinated individuals. Predictors of tested individuals included age, sex, smoking, neighborhood variables, and pre-existing conditions. Seropositivity in the pre-vaccine launch period was 9.2% and increased to 46.7% in the post-vaccine launch period. In the pre-vaccine launch period, seropositivity was significantly associated with age (10 year; OR = 0.80 (0.73, 0.89)), ever-smoker status (0.49 (0.35, 0.67)), respiratory disease (4.38 (3.13, 6.12)), circulatory disease (2.09 (1.48, 2.96)), liver disease (2.06 (1.11, 3.84)), non-Hispanic Black race/ethnicity (2.18 (1.33, 3.58)), and population density (1.10 (1.03, 1.18)). Except for the latter two, these associations remained statistically significant in the post-vaccine launch period. The positivity rate of fully vaccinated individual was 296/347(85.3% (81.0%, 88.8%)).
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影响因子:
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作者:
An J;Liao X;Xiao T;Qian S;Yuan J;Ye H;Qi F;Shen C;Wang L;Liu Y;Cheng X;Li N;Cai Q;Wang F;Chen J;Li G;Cai Q;Liu Y;Wang Y;Zhang F;Fu Y;He Q;Tan X;Liu L;Zhang Z
通讯作者:
Zhang Z
DOI:
10.1056/nejmoa2034577
发表时间:
2020-12-31
期刊:
The New England journal of medicine
影响因子:
--
作者:
Polack FP;Thomas SJ;Kitchin N;Absalon J;Gurtman A;Lockhart S;Perez JL;Pérez Marc G;Moreira ED;Zerbini C;Bailey R;Swanson KA;Roychoudhury S;Koury K;Li P;Kalina WV;Cooper D;Frenck RW Jr;Hammitt LL;Türeci Ö;Nell H;Schaefer A;Ünal S;Tresnan DB;Mather S;Dormitzer PR;Şahin U;Jansen KU;Gruber WC;C4591001 Clinical Trial Group
通讯作者:
C4591001 Clinical Trial Group
影响因子:
13.6
作者:
Clarke, Candice;Prendecki, Maria;Willicombe, Michelle
通讯作者:
Willicombe, Michelle
影响因子:
11.7
作者:
Lau, H.;Khosrawipour, T.;Khosrawipour, V
通讯作者:
Khosrawipour, V
影响因子:
8.8
作者:
de Oliveira ACS;Morita LHM;da Silva EB;Zardo LAR;Fontes CJF;Granzotto DCT
通讯作者:
Granzotto DCT