Literature DB >> 31911171

Disease surveillance using online news: Dengue and zika in tropical countries.

Yiding Zhang1, Motomu Ibaraki2, Franklin W Schwartz3.   

Abstract

BACKGROUND: Around the world in tropical areas, certain vector-borne diseases have become endemic and hyperendemic. Among the developing nations, there are common difficulties in establishing the incidences of various diseases, especially vector-borne diseases with complex etiologies and a broad spectrum of presentations. One alternative approach to characterization of the disease outbreaks examines the possibilities of developing proxy information from online news articles. Such sources are being evaluated for applications to disease surveillance, early outbreak detection, and epidemiology research. Our study here looks to examine the potential of news articles in elucidating outbreaks of dengue in India and zika disease in Brazil.
OBJECTIVE: This study is designed to assess the potential usefulness of news articles in tracking case numbers of dengue and zika through an improved understanding of how news outlets report on disease. We specifically examine the possibilities of providing near real-time reporting on the development of outbreaks of dengue and zika.
METHODS: Newspaper articles related to dengue fever and zika disease in India and Brazil, respectively were extracted from the LexisNexis database. We targeted news articles available from five popular international news sources and two local newspapers in each country. The news articles were processed to provide yearly and weekly time series in the number of articles concerned with dengue and zika to test their potential suitability as proxies for disease prevalence. The collections of articles were analyzed using a text mining tool-kit that subdivides a collections of news articles into smaller clusters to study the topical focus of articles and their relevance to tracking diseases.
RESULTS: For dengue fever in India, the local newspapers provide a better source of information than international newspapers. The multi-year analysis (2010-2016) suggests that the numbers of dengue cases are strongly correlated with the numbers of news reports, with an R2 value of 0.88. For zika disease in Brazil, the news reports provided useful information on the timing of the zika outbreak. Reporting increase sharply at the beginning of 2016, peaked in weeks 5 to 8, and decreased sharply. The numbers of articles remained low for the remainder of 2016 and 2017. Comparisons with reported case again show article numbers to be a useful proxy of prevalence of zika in Brazil.
CONCLUSIONS: The paper describes a strategy that applies newspaper as proxies to monitor outbreaks of infectious diseases and to study the epidemiology. It has potential applicability in some developing countries and regions with relatively poor medical infrastructures and records. Clearly, large national newspapers in India provide a better source of information on diseases than international outlets. This approach has potential with selected diseases in a few selected countries. Article numbers internationally appear to vary in proportion to the perceived health impact. Published by Elsevier Inc.

Entities:  

Keywords:  Dengue fever; Disease surveillance; Newspaper; Text mining; Zika

Mesh:

Year:  2020        PMID: 31911171     DOI: 10.1016/j.jbi.2020.103374

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  4 in total

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Authors:  Juhyeon Kim; Insung Ahn
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2.  Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review.

Authors:  Emmanuelle Sylvestre; Clarisse Joachim; Elsa Cécilia-Joseph; Guillaume Bouzillé; Boris Campillo-Gimenez; Marc Cuggia; André Cabié
Journal:  PLoS Negl Trop Dis       Date:  2022-01-07

3.  Retrospective cross-sectional observational study on the epidemiological profile of dengue cases in Pernambuco state, Brazil, between 2015 and 2017.

Authors:  Iasmyn Dayanne Santos do Nascimento; André Filipe Pastor; Thaísa Regina Rocha Lopes; Pablo Cantalice Santos Farias; Juliana Prado Gonçales; Rodrigo Feliciano do Carmo; Ricardo Durães-Carvalho; Caroline Simões da Silva; José Valter Joaquim Silva Júnior
Journal:  BMC Public Health       Date:  2020-06-12       Impact factor: 3.295

4.  Enhancing Influenza Epidemics Forecasting Accuracy in China with Both Official and Unofficial Online News Articles, 2019-2020.

Authors:  Jingwei Li; Choon-Ling Sia; Zhuo Chen; Wei Huang
Journal:  Int J Environ Res Public Health       Date:  2021-06-18       Impact factor: 3.390

  4 in total

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