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分析暴露医护人员的感染率数据,可能揭示针对 SARS-CoV-2 的有效预防措施。

Data Analysis of Infection Rates Among Exposed Healthcare Workers Could Reveal Effective Prophylactics Against SARS-CoV-2.

机构信息

In Situ Diagnostics, Santiago, Chile.

GenoSUR, Miami, FL, USA.

出版信息

Adv Exp Med Biol. 2020;1288:1-3. doi: 10.1007/5584_2020_540.

DOI:10.1007/5584_2020_540
PMID:32424489
Abstract

The global crisis provoked by the SARS-CoV-2 pandemic, and the economic and social consequences associated to the essential policies applied to contain it, necessitates the expedited development of therapeutic solutions. It is a priority to produce data both rapidly and accurately in order to identify current therapies that can be repurposed to offer protection from SARS-CoV-2 infection. As healthcare workers are both at high risk for infection and able to be readily diagnosed, they offer a potential wealth of data to be analyzed. A systematic data analysis of exposure and infection rates among healthcare workers could yield patterns identifying common protective factors, such as medications with prophylactic potential against SARS-CoV-2, that can be fast-tracked into available therapies. With results suggesting their activity against other coronaviruses and their widespread adoption, Antiretroviral cocktails could be a promising initial target for such large-scale data analysis approach.

摘要

由 SARS-CoV-2 引发的全球危机,以及为遏制该病毒而实施的必要政策带来的经济和社会后果,都需要加速开发治疗方法。当务之急是快速准确地生成数据,以确定当前可用于预防 SARS-CoV-2 感染的治疗方法。由于医护人员感染风险高且易于诊断,因此他们提供了大量潜在的数据进行分析。对医护人员的暴露和感染率进行系统数据分析,可以发现一些常见的保护因素,例如具有预防 SARS-CoV-2 潜力的药物,从而可以快速将其纳入现有治疗方法中。有研究结果表明,这些药物对其他冠状病毒也具有活性,并且已经广泛应用,因此抗逆转录病毒鸡尾酒疗法可能是这种大规模数据分析方法的一个有希望的初始目标。

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