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基于设施的疟疾检测阳性率与社区寄生虫患病率之间的关系。

The relationship between facility-based malaria test positivity rate and community-based parasite prevalence.

机构信息

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom.

出版信息

PLoS One. 2020 Oct 7;15(10):e0240058. doi: 10.1371/journal.pone.0240058. eCollection 2020.

Abstract

INTRODUCTION

Malaria surveillance is a key pillar in the control of malaria in Africa. The value of using routinely collected data from health facilities to define malaria risk at community levels remains poorly defined.

METHODS

Four cross-sectional parasite prevalence surveys were undertaken among residents at 36 enumeration zones in Kilifi county on the Kenyan coast and temporally and spatially matched to fever surveillance at 6 health facilities serving the same communities over 12 months. The age-structured functional form of the relationship between test positivity rate (TPR) and community-based parasite prevalence (PR) was explored through the development of regression models fitted by alternating the linear, exponential and polynomial terms for PR. The predictive ranges of TPR were explored for PR endemicity risk groups of control programmatic value using cut-offs of low (PR <5%) and high (PR ≥ 30%) transmission intensity.

RESULTS

Among 28,134 febrile patients encountered for malaria diagnostic testing in the health facilities, 12,143 (43.2%: 95% CI: 42.6%, 43.7%) were positive. The overall community PR was 9.9% (95% CI: 9.2%, 10.7%) among 6,479 participants tested for malaria. The polynomial model was the best fitting model for the data that described the algebraic relationship between TPR and PR. In this setting, a TPR of ≥ 49% in all age groups corresponded to an age-standardized PR of ≥ 30%, while a TPR of < 40% corresponded to an age-standardized PR of < 5%.

CONCLUSION

A non-linear relationship was observed between the relative change in TPR and changes in the PR, which is likely to have important implications for malaria surveillance programs, especially at the extremes of transmission. However, larger, more spatially diverse data series using routinely collected TPR data matched to community-based infection prevalence data are required to explore the more practical implications of using TPR as a replacement for community PR.

摘要

简介

疟疾监测是非洲控制疟疾的关键支柱。利用卫生机构常规收集的数据来定义社区层面疟疾风险的价值仍未得到充分定义。

方法

在肯尼亚沿海的基利菲县的 36 个计数区进行了 4 次居民横断面寄生虫患病率调查,并在 12 个月内与为同一社区服务的 6 个卫生机构的发热监测进行了时间和空间匹配。通过交替线性、指数和多项式项来拟合回归模型,探索了测试阳性率(TPR)与社区寄生虫患病率(PR)之间的年龄结构功能关系。使用具有低(PR <5%)和高(PR ≥ 30%)传播强度的截止值,探索了 TPR 对具有计划价值的流行率风险组的预测范围。

结果

在卫生机构进行疟疾诊断检测的 28134 例发热患者中,有 12143 例(43.2%:95%CI:42.6%,43.7%)为阳性。在接受疟疾检测的 6479 名参与者中,总社区 PR 为 9.9%(95%CI:9.2%,10.7%)。多项式模型是描述 TPR 和 PR 之间代数关系的最佳拟合模型。在这种情况下,所有年龄组的 TPR ≥ 49%对应于年龄标准化 PR ≥ 30%,而 TPR <40%对应于年龄标准化 PR <5%。

结论

观察到 TPR 的相对变化与 PR 的变化之间存在非线性关系,这可能对疟疾监测计划产生重要影响,尤其是在传播的极端情况下。然而,需要更大、更具空间多样性的数据系列,利用常规收集的 TPR 数据与社区感染流行率数据相匹配,以探索使用 TPR 替代社区 PR 的更实际意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c9a/7540858/19aa5d38a84d/pone.0240058.g001.jpg

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