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SARS-CoV-2 seroprevalence and associated factors in Manaus, Brazil: baseline results from the DETECTCoV-19 cohort study

机译:SARS-COV-2 Manaus,巴西的Seroprevalence和相关因素:检测科学-19队列研究的基线结果

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Background Manaus, located in the Brazilian rainforest, has experienced two health system collapses due to the coronavirus disease 2019 (COVID-19) pandemic. However, little is known about which groups among the general population have been most affected. Methods A convenience sampling strategy via online advertising recruited 3046 adults between 19 August 2020 and 2 October 2020. Sociodemographic characteristics, COVID-19-related symptoms, COVID-19 testing, self-medication and prescribed medications were recorded. Serum anti-severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) nucleocapsid immunoglobulin G antibodies were measured with an enzyme-linked immunosorbent assay. Prevalence ratios (PR) were obtained using cluster-corrected and adjusted Poisson's regression models. Results A crude positivity rate among asymptomatic and symptomatic individuals was estimated at 29.10%, with maximum possible seroprevalence of 44.82% corrected by test characteristics and an antibody decay rate of 32.31%. Regression models demonstrated a strong association towards marginalized low-income and vulnerable residents with limited access to health care. The presence of a COVID-19 case [PR 1.39, 95% confidence interval (CI) 1.24–1.57] or death (PR 2.14, 95% CI 1.74–2.62) in a household greatly increased the risk of other household members acquiring infection. The seroprevalence of SARS-CoV-2 was higher among those who self-medicated to prevent infection (PR 1.36, 95% CI 1.27–1.46). Conclusions Disproportionate socio-economic disparity was observed among the study participants. The syndemic nature of COVID-19 in the Amazon region needs differential policies and urgent solutions to control the ongoing pandemic.
机译:背景技术Manaus位于巴西雨林,由于2019年(Covid-19)大流行而导致两种卫生系统崩溃。然而,众所周知,一般人群中的哪些群体受到影响最大。方法采用在线广告的便利采样策略招聘了3046年8月19日至10月2日至10月2日的成年人。记录了社会渗透特征,Covid-19相关症状,Covid-19测试,自我药物和处方药。用酶联免疫吸附测定测量血清抗重度急性呼吸综合征冠状病毒-2(SARS-COV-2)核衣壳免疫球蛋白G抗体。使用聚类校正和调整的泊松回归模型获得流行率比(PR)。结果无症状和症状性质中的粗阳性率估计为29.10%,可通过试验特征和抗体衰减率为32.31%的抗体校正44.82%。回归模型表明,对边缘化低收入和弱势居民的强大协会,获得了有限的医疗保健。在家庭中存在Covid-19例[Pr 1.39,95%置信区间(CI)1.24-1.57]或死亡(PR 2.14,95%CI 1.74-2.62)大大增加了其他家庭成员获得感染的风险。 SARS-COV-2的SEROPREVALING在自我用药以防止感染(PR 1.36,95%CI 1.27-1.46)中较高。结论在研究参与者中观察到不成比例的社会经济差异。 Covid-19在亚马逊地区的Sydexy性质需要差分政策和紧急解决方案来控制持续的大流行。

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