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疟疾流行程度和结核病患病率对 COVID-19 死亡率的影响。

Influence of malaria endemicity and tuberculosis prevalence on COVID-19 mortality.

机构信息

Consultant Pediatrician, MOH, Iraq.

出版信息

Public Health. 2021 May;194:33-35. doi: 10.1016/j.puhe.2021.02.018. Epub 2021 Mar 3.

Abstract

OBJECTIVES

Regarding severe acute respiratory syndrome coronavirus 2, it is known that a substantial percentage of the adult population does not become infected when exposed to this novel coronavirus. Several studies provide an initial indication of the possible role of pre-existing immunity, whether cross-immunity or not. The possible role of latent tuberculosis (TB) and malaria has been suggested to create innate cross heterogeneous immunity. In this study, we looked for the influence of these factors on coronavirus disease 2019 (COVID-19) mortality in malaria-endemic countries.

STUDY DESIGN

Eighty malaria-endemic countries were enrolled in this cross-sectional study. Data subjected to testing included TB prevalence, Bacillus Calmette-Guérin (BCG) vaccine coverage, malaria incidence, and COVID-19 mortality.

METHODS

Hierarchical multiple regression type of analysis was used for data analyses. TB prevalence per 100,000 population standardized to BCG coverage rates was taken as a direct factor in the test. Malaria incidence per 1000 population was considered an intermediate factor. The outcome was COVID-19 mortality per million population.

RESULTS

The results showed with robust statistical support that standardized TB prevalence was significantly associated with reduced COVID-19 mortality. Malaria had an additional effect in reducing COVID-19 mortality, with a highly significant association.

CONCLUSIONS

Malaria and standardized TB prevalence are statistically significant factors associated negatively with COVID-19 mortality.

摘要

目的

关于严重急性呼吸综合征冠状病毒 2(SARS-CoV-2),已知当大量成年人接触这种新型冠状病毒时,只有一部分人会被感染。有几项研究初步表明,先前存在的免疫可能具有一定作用,无论是交叉免疫还是其他免疫。潜伏性结核病(TB)和疟疾可能具有先天的交叉异源免疫作用。在这项研究中,我们寻找了这些因素对疟疾流行国家 2019 年冠状病毒病(COVID-19)死亡率的影响。

设计

本横断面研究纳入了 80 个疟疾流行国家。接受检测的数据包括 TB 患病率、卡介苗(BCG)疫苗覆盖率、疟疾发病率和 COVID-19 死亡率。

方法

采用分层多元回归分析对数据进行分析。以每 10 万人口标准化的 TB 患病率除以 BCG 覆盖率作为检测中的直接因素。以每 1000 人口的疟疾发病率作为中间因素。结果是每百万人口的 COVID-19 死亡率。

结果

结果显示,TB 患病率标准化与 COVID-19 死亡率降低具有显著的统计学相关性。疟疾对降低 COVID-19 死亡率有额外作用,相关性极强。

结论

疟疾和标准化的 TB 患病率是与 COVID-19 死亡率呈负相关的统计学显著因素。

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Trained immunity: a memory for innate host defense.训练免疫:先天宿主防御的记忆。
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