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测量人类接触疟疾媒介模式的方法和指标。

Methods and indicators for measuring patterns of human exposure to malaria vectors.

机构信息

Johns Hopkins Center for Communication Programs, PMI VectorWorks Project, Baltimore, MD, USA.

University of Basel, Basel, Switzerland.

出版信息

Malar J. 2020 Jun 16;19(1):207. doi: 10.1186/s12936-020-03271-z.

Abstract

BACKGROUND

Effective targeting and evaluation of interventions that protect against adult malaria vectors requires an understanding of how gaps in personal protection arise. An improved understanding of human and mosquito behaviour, and how they overlap in time and space, is critical to estimating the impact of insecticide-treated nets (ITNs) and determining when and where supplemental personal protection tools are needed. Methods for weighting estimates of human exposure to biting Anopheles mosquitoes according to where people spend their time were first developed over half a century ago. However, crude indoor and outdoor biting rates are still commonly interpreted as indicative of human-vector contact patterns without any adjustment for human behaviour or the personal protection effects of ITNs.

MAIN TEXT

A small number of human behavioural variables capturing the distribution of human populations indoors and outdoors, whether they are awake or asleep, and if and when they use an ITN over the course of the night, can enable a more accurate representation of human biting exposure patterns. However, to date no clear guidance is available on what data should be collected, what indicators should be reported, or how they should be calculated. This article presents an integrated perspective on relevant indicators of human-vector interactions, the critical entomological and human behavioural data elements required to quantify human-vector interactions, and recommendations for collecting and analysing such data.

CONCLUSIONS

If collected and used consistently, this information can contribute to an improved understanding of how malaria transmission persists in the context of current intervention tools, how exposure patterns may change as new vector control tools are introduced, and the potential impact and limitations of these tools. This article is intended to consolidate understanding around work on this topic to date and provide a consistent framework for building upon it. Additional work is needed to address remaining questions, including further development and validation of methods for entomological and human behavioural data collection and analysis.

摘要

背景

有效针对和评估预防成蚊疟疾的干预措施,需要了解个人防护漏洞是如何产生的。更好地了解人类和蚊子的行为,以及它们如何在时间和空间上重叠,对于估计驱虫蚊帐(ITN)的影响和确定何时何地需要补充个人防护工具至关重要。根据人们的时间分配来加权人类接触疟蚊叮咬的估计值的方法早在半个多世纪前就已开发出来。然而,人们仍然普遍认为粗糙的室内和室外叮咬率可以指示人类与蚊子的接触模式,而无需根据人类行为或 ITN 的个人防护效果进行任何调整。

正文

少量捕捉人类在室内和室外分布、是否清醒和入睡、以及他们在夜间是否使用 ITN 的人类行为变量,可以更准确地描述人类被叮咬的暴露模式。然而,迄今为止,对于应该收集哪些数据、应该报告哪些指标以及如何计算这些指标,还没有明确的指导。本文综合了人类与蚊子相互作用的相关指标、量化人类与蚊子相互作用所需的关键昆虫学和人类行为数据要素的观点,并提出了收集和分析此类数据的建议。

结论

如果收集和使用得当,这些信息可以帮助更好地了解在当前干预工具的背景下疟疾传播是如何持续的,随着新的蚊虫控制工具的引入,暴露模式可能会如何变化,以及这些工具的潜在影响和局限性。本文旨在整合迄今为止关于该主题的工作,并为进一步发展提供一致的框架。需要进一步开展工作来解决遗留问题,包括进一步开发和验证昆虫学和人类行为数据收集和分析方法。

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