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Earlier Outbreak Detection—A Generic Model and Novel Methodology to Guide Earlier Detection Supported by Data From Low- and Mid-Income Countries

机译:早期爆发检测 - 通用模型和新型方法,以指导来自低收入和中等收入国家的数据支持的前面检测

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Infectious disease outbreaks can have significant impact on individual health, national economies and social wellbeing. Through early detection of an infectious disease, the outbreak can be contained at the local level, thereby reducing adverse effects on populations. Significant time and funding have been invested to improve disease detection timeliness. However, current evaluation methods do not provide evidence based suggestions or measurements on how to detect outbreaks earlier. Key conditions for earlier detection and their influencing factors remain unclear and unmeasured. Without clarity about conditions and influencing factors, attempts to improve disease detection remain ad-hoc and unsystematic. Methods: We developed a generic five-step disease detection model and a novel methodology to use for data collection, analysis and interpretation. Data was collected in two workshops in Southeast Europe (n=33 participants) and Southern and East Africa (n=19 participants) representing mid- and low-income countries. Through systematic, qualitative and quantitative data analyses, we identified key conditions for earlier detection and prioritised factors that influence them. As participants joined a workshop format and not a experimental setting, no ethics approval was required. Findings: Our analyses suggest that governance is the most important condition for earlier detection in both regions. Facilitating factors for earlier detection are risk communication activities such as information sharing, communication and collaboration activities. Impeding factors are lack of communication, coordination and leadership. Interpretation: Governance and risk communication are key influencers for earlier detection in both regions. However, inadequate technical capacity, commonly assumed to be a leading factor impeding early outbreak detection, was not found a leading factor. This insight may be used to pinpoint further improvement strategies.
机译:传染病爆发可能对个体健康,国家经济和社会福祉产生重大影响。通过早期发现传染病,爆发可以包含在局部水平,从而降低对人群的不利影响。已经投入了重要的时间和资金来改善疾病检测及时性。但是,当前的评估方法不提供基于证据的建议或关于如何检测疫情的令人疫苗。早期检测的关键条件及其影响因素仍然不明确和未测量。在不明确的条件和影响因素的情况下,试图改善疾病检测仍然是ad-hoc和不系统的。方法:我们开发了一种通用的五步疾病检测模型和用于数据收集,分析和解释的新方法。在东南欧(N = 33名参与者)和南部和东非(N = 19名参与者)的两名研讨会中收集了数据,代表中低收入国家。通过系统,定性和定量数据分析,我们确定了早期检测和影响它们的优先因子的关键条件。随着参与者加入研讨会格式而不是实验环境,不需要批准渠道。结果:我们的分析表明,治理是两个地区早期检测的最重要条件。促进较早检测的因素是风险沟通活动,如信息共享,沟通和协作活动。阻碍因素缺乏沟通,协调和领导力。解释:治理和风险沟通是两个地区早期检测的关键影响因素。然而,技术能力不足,通常认为是阻碍早期爆发检测的主要因素,并没有找到一个主要因素。这种洞察力可用于确定进一步的改进策略。

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