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利用大数据应对热带和亚热带传染病:文献系统综述的启示

Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature.

作者信息

Gianfredi Vincenza, Bragazzi Nicola Luigi, Nucci Daniele, Martini Mariano, Rosselli Roberto, Minelli Liliana, Moretti Massimo

机构信息

Department of Experimental Medicine, Post Graduate School in Hygiene and Preventive Medicine, University of Perugia, Perugia, Italy.

Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.

出版信息

Front Public Health. 2018 Mar 21;6:90. doi: 10.3389/fpubh.2018.00090. eCollection 2018.

Abstract

AIM

According to the World Health Organization (WHO), communicable tropical and sub-tropical diseases occur solely, or mainly in the tropics, thriving in hot, and humid conditions. Some of these disorders termed as neglected tropical diseases are particularly overlooked. Communicable tropical/sub-tropical diseases represent a diverse group of communicable disorders occurring in 149 countries, favored by tropical and sub-tropical conditions, affecting more than one billion people and imposing a dramatic societal and economic burden.

METHODS

A systematic review of the extant scholarly literature was carried out, searching in PubMed/MEDLINE and Scopus. The search string used included proper keywords, like big data, nontraditional data sources, social media, social networks, infodemiology, infoveillance, novel data streams (NDS), digital epidemiology, digital behavior, Google Trends, Twitter, Facebook, YouTube, Instagram, Pinterest, Ebola, Zika, dengue, Chikungunya, Chagas, and the other neglected tropical diseases.

RESULTS

47 original, observational studies were included in the current systematic review: 1 focused on Chikungunya, 6 on dengue, 19 on Ebola, 2 on Malaria, 1 on Mayaro virus, 2 on West Nile virus, and 16 on Zika. Fifteen were dedicated on developing and validating forecasting techniques for real-time monitoring of neglected tropical diseases, while the remaining studies investigated public reaction to infectious outbreaks. Most studies explored a single nontraditional data source, with Twitter being the most exploited tool (25 studies).

CONCLUSION

Even though some studies have shown the feasibility of utilizing NDS as an effective tool for predicting epidemic outbreaks and disseminating accurate, high-quality information concerning neglected tropical diseases, some gaps should be properly underlined. Out of the 47 articles included, only 7 were focusing on neglected tropical diseases, while all the other covered communicable tropical/sub-tropical diseases, and the main determinant of this unbalanced coverage seems to be the media impact and resonance. Furthermore, efforts in integrating diverse NDS should be made. As such, taking into account these limitations, further research in the field is needed.

摘要

目的

根据世界卫生组织(WHO)的说法,热带和亚热带传染病仅在或主要在热带地区发生,在炎热潮湿的环境中滋生。其中一些被称为被忽视的热带病的疾病尤其被忽视。热带/亚热带传染病是发生在149个国家的一组多样的传染病,受热带和亚热带条件的青睐,影响着超过10亿人,并带来巨大的社会和经济负担。

方法

对现有学术文献进行系统综述,在PubMed/MEDLINE和Scopus中进行检索。所使用的检索词包括适当的关键词,如大数据、非传统数据源、社交媒体、社交网络、信息流行病学、信息监测、新型数据流(NDS)、数字流行病学、数字行为、谷歌趋势、推特、脸书、优兔、照片墙、埃博拉、寨卡、登革热、基孔肯雅热、恰加斯病以及其他被忽视的热带病。

结果

本系统综述纳入了47项原始观察性研究:1项聚焦基孔肯雅热,6项关于登革热,19项关于埃博拉,2项关于疟疾,1项关于马亚罗病毒,2项关于西尼罗河病毒,16项关于寨卡。15项致力于开发和验证用于实时监测被忽视热带病的预测技术,其余研究调查了公众对传染病爆发的反应。大多数研究探索了单一的非传统数据源,推特是使用最多的工具(25项研究)。

结论

尽管一些研究表明利用新型数据流作为预测疫情爆发和传播有关被忽视热带病的准确、高质量信息的有效工具具有可行性,但仍应适当强调一些差距。在纳入的47篇文章中,只有7篇关注被忽视的热带病,其他所有文章涵盖的都是热带/亚热带传染病,这种不平衡覆盖的主要决定因素似乎是媒体的影响和共鸣。此外,应努力整合多样的新型数据流。因此,考虑到这些局限性,该领域需要进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2102/5871696/8035ccedea4f/fpubh-06-00090-g001.jpg

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