Suppr超能文献

登革热疾病影响秘鲁伊基托斯的日常人类移动模式。

Dengue illness impacts daily human mobility patterns in Iquitos, Peru.

机构信息

Program of Population Biology, Ecology and Evolution, Emory University, Atlanta, Georgia, United States of America.

Department of Global Community Health and Behavioral Sciences, Tulane School of Public Health and Tropical Medicine, New Orleans, Louisiana, United States of America.

出版信息

PLoS Negl Trop Dis. 2019 Sep 23;13(9):e0007756. doi: 10.1371/journal.pntd.0007756. eCollection 2019 Sep.

Abstract

BACKGROUND

Human mobility plays a central role in shaping pathogen transmission by generating spatial and/or individual variability in potential pathogen-transmitting contacts. Recent research has shown that symptomatic infection can influence human mobility and pathogen transmission dynamics. Better understanding the complex relationship between symptom severity, infectiousness, and human mobility requires quantification of movement patterns throughout infectiousness. For dengue virus (DENV), human infectiousness peaks 0-2 days after symptom onset, making it paramount to understand human movement patterns from the beginning of illness.

METHODOLOGY AND PRINCIPAL FINDINGS

Through community-based febrile surveillance and RT-PCR assays, we identified a cohort of DENV+ residents of the city of Iquitos, Peru (n = 63). Using retrospective interviews, we measured the movements of these individuals when healthy and during each day of symptomatic illness. The most dramatic changes in mobility occurred during the first three days after symptom onset; individuals visited significantly fewer locations (Wilcoxon test, p = 0.017) and spent significantly more time at home (Wilcoxon test, p = 0.005), compared to when healthy. By 7-9 days after symptom onset, mobility measures had returned to healthy levels. Throughout an individual's symptomatic period, the day of illness and their subjective sense of well-being were the most significant predictors for the number of locations and houses they visited.

CONCLUSIONS/SIGNIFICANCE: Our study is one of the first to collect and analyze human mobility data at a daily scale during symptomatic infection. Accounting for the observed changes in human mobility throughout illness will improve understanding of the impact of disease on DENV transmission dynamics and the interpretation of public health-based surveillance data.

摘要

背景

人类的流动性在塑造病原体传播方面起着核心作用,它会在潜在的病原体传播接触中产生空间和/或个体变异性。最近的研究表明,症状感染会影响人类的流动性和病原体传播动态。更好地理解症状严重程度、传染性和人类流动性之间的复杂关系,需要量化整个感染过程中的运动模式。对于登革热病毒(DENV),人类的传染性在症状出现后 0-2 天内达到峰值,因此了解疾病开始时人类的运动模式至关重要。

方法和主要发现

通过社区发热监测和 RT-PCR 检测,我们确定了秘鲁伊基托斯市的一组 DENV+居民(n = 63)。通过回顾性访谈,我们测量了这些个体在健康时和出现症状的每一天的运动情况。流动性的最大变化发生在症状出现后的头三天;与健康时相比,个体访问的地点明显减少(Wilcoxon 检验,p = 0.017),在家中度过的时间明显增加(Wilcoxon 检验,p = 0.005)。在症状出现后 7-9 天,流动性测量值已恢复到健康水平。在个体出现症状的整个期间,患病当天及其主观舒适度是预测他们访问地点和房屋数量的最重要因素。

结论/意义:我们的研究是首次在症状感染期间以每日为单位收集和分析人类流动性数据的研究之一。考虑到整个疾病过程中观察到的人类流动性变化,将有助于更好地理解疾病对 DENV 传播动态的影响,并解释基于公共卫生的监测数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bac5/6776364/e14708abae79/pntd.0007756.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验