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被动监测中检测到的恶性疟原虫和间日疟原虫感染比例与社区无症状感染者数量之间的关联:对卫生机构和社区配对数据的汇总分析。

Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data.

机构信息

Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, UK.

Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, UK; Centre of Statistics and Its Applications, University of Lisbon, Lisbon, Portugal.

出版信息

Lancet Infect Dis. 2020 Aug;20(8):953-963. doi: 10.1016/S1473-3099(20)30059-1. Epub 2020 Apr 8.

Abstract

BACKGROUND

Passively collected malaria case data are the foundation for public health decision making. However, because of population-level immunity, infections might not always be sufficiently symptomatic to prompt individuals to seek care. Understanding the proportion of all Plasmodium spp infections expected to be detected by the health system becomes particularly paramount in elimination settings. The aim of this study was to determine the association between the proportion of infections detected and transmission intensity for Plasmodium falciparum and Plasmodium vivax in several global endemic settings.

METHODS

The proportion of infections detected in routine malaria data, P(Detect), was derived from paired household cross-sectional survey and routinely collected malaria data within health facilities. P(Detect) was estimated using a Bayesian model in 431 clusters spanning the Americas, Africa, and Asia. The association between P(Detect) and malaria prevalence was assessed using log-linear regression models. Changes in P(Detect) over time were evaluated using data from 13 timepoints over 2 years from The Gambia.

FINDINGS

The median estimated P(Detect) across all clusters was 12·5% (IQR 5·3-25·0) for P falciparum and 10·1% (5·0-18·3) for P vivax and decreased as the estimated log-PCR community prevalence increased (adjusted odds ratio [OR] for P falciparum 0·63, 95% CI 0·57-0·69; adjusted OR for P vivax 0·52, 0·47-0·57). Factors associated with increasing P(Detect) included smaller catchment population size, high transmission season, improved care-seeking behaviour by infected individuals, and recent increases (within the previous year) in transmission intensity.

INTERPRETATION

The proportion of all infections detected within health systems increases once transmission intensity is sufficiently low. The likely explanation for P falciparum is that reduced exposure to infection leads to lower levels of protective immunity in the population, increasing the likelihood that infected individuals will become symptomatic and seek care. These factors might also be true for P vivax but a better understanding of the transmission biology is needed to attribute likely reasons for the observed trend. In low transmission and pre-elimination settings, enhancing access to care and improvements in care-seeking behaviour of infected individuals will lead to an increased proportion of infections detected in the community and might contribute to accelerating the interruption of transmission.

FUNDING

Wellcome Trust.

摘要

背景

被动收集的疟疾病例数据是公共卫生决策的基础。然而,由于人群水平的免疫力,感染可能并不总是有足够的症状促使个体寻求医疗。了解卫生系统预期检测到的所有疟原虫感染比例在消除环境中变得尤为重要。本研究旨在确定在几个全球流行地区,间日疟原虫和恶性疟原虫感染的检测比例与传播强度之间的关联。

方法

从美洲、非洲和亚洲的 431 个集群中,使用贝叶斯模型从配对的家庭横断面调查和常规收集的卫生机构内疟疾数据中得出常规疟疾数据中检测到的感染比例(P(Detect))。使用对数线性回归模型评估 P(Detect)与疟疾流行率之间的关联。使用冈比亚 2 年 13 个时间点的数据评估 P(Detect)随时间的变化。

结果

所有集群的中位数估计 P(Detect)分别为间日疟原虫 12.5%(IQR 5.3-25.0)和恶性疟原虫 10.1%(5.0-18.3),且随着估计的 log-PCR 社区流行率的增加而降低(间日疟原虫的调整后比值比[OR]为 0.63,95%CI 0.57-0.69;恶性疟原虫的调整后 OR 为 0.52,0.47-0.57)。与增加 P(Detect)相关的因素包括较小的集水区人口规模、高传播季节、受感染个体寻求医疗的行为改善,以及在过去一年中(within the previous year)传播强度的近期增加。

解释

一旦传播强度足够低,卫生系统内检测到的所有感染比例就会增加。间日疟原虫可能的解释是,接触感染的减少导致人群中保护性免疫力水平降低,增加了受感染个体出现症状并寻求医疗的可能性。这些因素对恶性疟原虫也可能是正确的,但需要更好地了解传播生物学,才能确定观察到的趋势的可能原因。在低传播和消除前环境中,增加获得医疗服务的机会和改善受感染个体的求医行为,将导致社区中检测到的感染比例增加,并可能有助于加速传播的中断。

资助

惠康信托基金会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6734/7391005/8fefc29e674d/gr1.jpg

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