Yiding Zhang

Dr. Yiding Zhang

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2020 in Journal of Biomedical Informatics
Verified
Journal Article
Closed access
YZYiding Zhang
Yiding Zhang
MIMotomu Ibaraki
Motomu Ibaraki
FSFranklin Schwartz
Franklin Schwartz

21 December 2018 in Groundwater
Verified
Journal Article
Closed access
PDF file
FSFranklin Schwartz
Franklin Schwartz
YZYiding Zhang
Yiding Zhang
MIMotomu Ibaraki
Motomu Ibaraki

11 December 2019 in Tropical Medicine and Health
Verified
Journal Article
Open access
PDF file
YZYiding Zhang
Yiding Zhang
MIMotomu Ibaraki
Motomu Ibaraki
FSFranklin Schwartz
Franklin Schwartz
Background: The study demonstrates the potential in using newspaper information as a proxy for monitoring dengue fever outbreaks in India. Online newspapers are being considered as sources of information on disease surveillance, early outbreak detection, and epidemiology research. Our objective is to understand the complex dengue epidemiology and discover inter-relationships between dengue fever and local social-environmental factors by mining information from local Indian news articles. Results: We search and extract articles from the newspaper database, LexisNexis. News articles related to dengue fever in India are analyzed together with local environmental, climate, and population data in both temporally and spatially to study disease epidemiology. We also examine the influence of newsworthiness for constructing a disease surveillance system. In terms of temporal aspects, dengue outbreaks follow consistent patterns every year. However, for many areas, this application is frustrated by the relatively small numbers of news articles. Conclusions: The study has advanced capabilities in producing approaches that provide for richer interpretations of textual information provided in newspaper articles. Such approaches appear particularly well suited for developing countries with relatively poor medical infrastructures and records.

7 June 2018 in Groundwater
Verified
Journal Article
Closed access
PDF file
YZYiding Zhang
Yiding Zhang
XJXiaonan Ji
Xiaonan Ji
MIMotomu Ibaraki
Motomu Ibaraki
FSFranklin Schwartz
Franklin Schwartz

12 May 2021 in Groundwater
Verified
Journal Article
Closed access
PDF file
MIMotomu Ibaraki
Motomu Ibaraki
YZYiding Zhang
Yiding Zhang
RNRichard G. Niswonger
Richard G. Niswonger
SPSorab Panday
Sorab Panday

27 March 2019 in JMIR Preprints
Verified
Preprint
Open access
YZYiding Zhang
Yiding Zhang
MIMotomu Ibaraki
Motomu Ibaraki
FSFranklin Schwartz
Franklin Schwartz
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.