揭示基因组变体的动态:在印度尼西亚戈瓦县第三波Covid-19期间的流行、风险因素和疫苗接种效果

Ridwan Amiruddin, Indra Dwinata, Rosa Devitha Ayu, Nurhaedar Jafar, Gaffar Gaffar, Syaharuddin Kasim, Muh Firdaus Kasim, Adriana Syarifah
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摘要

简介:2022年2月至3月,SARS-CoV-2的B.1.1.529 (Omicron)变体成为印度尼西亚第三波COVID-19的原因。然而,关于第三波COVID-19大流行影响的流行情况的数据仍然有限,特别是在印度尼西亚的各县/城市。果瓦县是南苏拉威西省受COVID-19影响最严重的地区之一。目的:确定与戈瓦县感染相关的危险因素并评估疫苗接种计划的有效性。方法:于2022年3月在Gowa县随机抽取859例静脉血标本,采用化学发光微粒免疫分析法(CMIA)检测SARS-CoV-2抗体的存在。通过访谈收集人口统计学、既往感染史、症状、合并症和空缺状况等信息。数据分析采用描述性、双变量检验和单因素方差分析,多变量检验采用logistic回归。 结果:抗- cov -2- igg总阳性率为98.7%。结果显示,SARS-CoV-2抗体阳性率在性别(P=0.306)、年龄(P=0.190)、文化程度(P=0.749)、职业(P=0.685)、症状史(P=0.108)、确诊史(P=0.352)、共病史(P=0.477)方面差异无统计学意义。然而,本研究显示,完全接种疫苗组和未完全接种疫苗组的SARS-CoV-2抗体流行率存在显著差异(P <0.001)。结论:已完全接种疫苗(至少两剂)的应答者与未完成疫苗接种的应答者的抗体状态存在显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling the Dynamics of the Omicron Variant: Prevalence, Risk Factors, and Vaccination Efficacy during the Third Wave of Covid-19 in Indonesia's Gowa Regency
Introduction: In February-March 2022, the B.1.1.529 (Omicron) variant of SARS-CoV-2 became the cause of the third wave of COVID-19 in Indonesia. However, data on the prevalence of the effects of the third wave of the COVID-19 pandemic are still limited, especially in regencies/cities in Indonesia. Gowa Regency is one of the most affected areas by COVID-19 in South Sulawesi. Objective: Ascertaining risk factors associated with infection and evaluating the effectiveness of vaccination programs in Gowa Regency. Methods: In March 2022, venous blood specimens were taken from 859 randomly selected samples in Gowa Regency to determine the presence of antibodies to SARS-CoV-2 by examining chemiluminescent microparticle immunoassay (CMIA) specimens. Information on demographics, previous infection history, symptoms, comorbid diseases, and vacancy status was collected through interviews. Data analysis was conducted using descriptive, bivariate tests with chi-square and One-way ANOVA, and multivariate tests using logistic regression. Results: The overall prevalence of anti-SARS-CoV-2-IgG was 98.7%. The results showed that the prevalence of SARS-CoV-2 antibodies was not significantly different in terms of sex (P=0.306), age group (P=0.190), education (P=0.749), and occupation (P=0.685), history of COVID-19 symptoms (P=0.108), history of confirmation of COVID-19 (P=0.352), and history of comorbid diseases (P=0.477). However, this study showed that the prevalence of SARS-CoV-2 antibodies differed significantly among the fully vaccinated and incomplete groups (P <0.001). Conclusion: There was a significant difference between the antibody status of respondents who had been fully vaccinated (at least two doses) and respondents who had not completed the vaccination.
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