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

被引:15
作者
Gianfredi, Vincenza [1 ]
Bragazzi, Nicola Luigi [2 ]
Nucci, Daniele [3 ]
Martini, Mariano [4 ]
Rosselli, Roberto [5 ]
Minelli, Liliana [6 ]
Moretti, Massimo [7 ]
机构
[1] Univ Perugia, Post Grad Sch Hyg & Prevent Med, Dept Expt Med, Perugia, Italy
[2] Univ Genoa, Dept Hlth Sci DISSAL, Genoa, Italy
[3] Veneto Inst Oncol IOV IRCCS, Digest Endoscopy Unit, Padua, Italy
[4] Univ Genoa, Dept Hlth Sci DISSAL, Sect Hist Med & Eth, Genoa, Italy
[5] Local Hlth Unit 3 Genoa, Hyg & Publ Hlth Unit, Genoa, Italy
[6] Univ Perugia, Dept Expt Med, Perugia, Italy
[7] Univ Perugia, Unit Publ Hlth, Dept Pharmaceut Sci, Perugia, Italy
关键词
big data; Zika; Ebola; Chikungunya; West Nile virus; dengue; Mayaro virus; communicable tropical diseases; FOR-DISEASE-CONTROL; ZIKA-VIRUS; SOCIAL MEDIA; EBOLA; INFORMATION; TWITTER; NEWS; WEB; MISINFORMATION; OUTBREAKS;
D O I
10.3389/fpubh.2018.00090
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
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页数:15
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