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      Using Internet Search Queries to Assess Public Awareness of the Healthy Cities Approach: A Case Study in Shenzhen, China

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          Abstract

          Cities around the globe are embracing the Healthy Cities approach to address urban health challenges. Public awareness is vital for successfully deploying this approach but is rarely assessed. In this study, we used internet search queries to evaluate the public awareness of the Healthy Cities approach applied in Shenzhen, China. The overall situation at the city level and the intercity variations were both analyzed. Additionally, we explored the factors that might affect the internet search queries of the Healthy Cities approach. Our results showed that the public awareness of the approach in Shenzhen was low. There was a high intercity heterogeneity in terms of interest in the various components of the Healthy Cities approach. However, we did not find a significant effect of the selected demographic, environmental, and health factors on the search queries. Based on our findings, we recommend that the city raise public awareness of healthy cities and take actions tailored to health concerns in different city zones. Our study showed that internet search queries can be a valuable data source for assessing the public awareness of the Healthy Cities approach.

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          Most cited references37

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          Detecting influenza epidemics using search engine query data.

          Seasonal influenza epidemics are a major public health concern, causing tens of millions of respiratory illnesses and 250,000 to 500,000 deaths worldwide each year. In addition to seasonal influenza, a new strain of influenza virus against which no previous immunity exists and that demonstrates human-to-human transmission could result in a pandemic with millions of fatalities. Early detection of disease activity, when followed by a rapid response, can reduce the impact of both seasonal and pandemic influenza. One way to improve early detection is to monitor health-seeking behaviour in the form of queries to online search engines, which are submitted by millions of users around the world each day. Here we present a method of analysing large numbers of Google search queries to track influenza-like illness in a population. Because the relative frequency of certain queries is highly correlated with the percentage of physician visits in which a patient presents with influenza-like symptoms, we can accurately estimate the current level of weekly influenza activity in each region of the United States, with a reporting lag of about one day. This approach may make it possible to use search queries to detect influenza epidemics in areas with a large population of web search users.
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            The Use of Google Trends in Health Care Research: A Systematic Review

            Background Google Trends is a novel, freely accessible tool that allows users to interact with Internet search data, which may provide deep insights into population behavior and health-related phenomena. However, there is limited knowledge about its potential uses and limitations. We therefore systematically reviewed health care literature using Google Trends to classify articles by topic and study aim; evaluate the methodology and validation of the tool; and address limitations for its use in research. Methods and Findings PRISMA guidelines were followed. Two independent reviewers systematically identified studies utilizing Google Trends for health care research from MEDLINE and PubMed. Seventy studies met our inclusion criteria. Google Trends publications increased seven-fold from 2009 to 2013. Studies were classified into four topic domains: infectious disease (27% of articles), mental health and substance use (24%), other non-communicable diseases (16%), and general population behavior (33%). By use, 27% of articles utilized Google Trends for casual inference, 39% for description, and 34% for surveillance. Among surveillance studies, 92% were validated against a reference standard data source, and 80% of studies using correlation had a correlation statistic ≥0.70. Overall, 67% of articles provided a rationale for their search input. However, only 7% of articles were reproducible based on complete documentation of search strategy. We present a checklist to facilitate appropriate methodological documentation for future studies. A limitation of the study is the challenge of classifying heterogeneous studies utilizing a novel data source. Conclusion Google Trends is being used to study health phenomena in a variety of topic domains in myriad ways. However, poor documentation of methods precludes the reproducibility of the findings. Such documentation would enable other researchers to determine the consistency of results provided by Google Trends for a well-specified query over time. Furthermore, greater transparency can improve its reliability as a research tool.
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              Ten years of research change using Google Trends: From the perspective of big data utilizations and applications

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                17 April 2021
                April 2021
                : 18
                : 8
                : 4264
                Affiliations
                [1 ]Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China; zhang-yt20@ 123456mails.tsinghua.edu.cn (Y.Z.); xiaoyixiong@ 123456mail.tsinghua.edu.cn (Y.X.); yuqibai@ 123456tsinghua.edu.cn (Y.B.); penggong@ 123456tsinghua.edu.cn (P.G.)
                [2 ]Tsinghua Urban Institute, Beijing 100084, China
                [3 ]Shenzhen Research Center of Digital City Engineering, Shenzhen Municipal Bureau of Planning and Natural Resource Management, Shenzhen 518034, China; s_s_q@ 123456126.com
                [4 ]School of Resource and Environment Science, Wuhan University, Wuhan 430079, China; 2014102050019@ 123456whu.edu.cn
                [5 ]Business Intelligence Lab, Baidu Research, Baidu Inc., Beijing 100193, China; zhoujingbo@ 123456baidu.com
                [6 ]Department of Earth Sciences, the University of Hong Kong, Hong Kong
                [7 ]Department of Geography, the University of Hong Kong, Hong Kong
                Author notes
                [* ]Correspondence: larix@ 123456tsinghua.edu.cn ; Tel.: +86-10-62787211
                Author information
                https://orcid.org/0000-0003-1547-7533
                https://orcid.org/0000-0002-4630-5147
                Article
                ijerph-18-04264
                10.3390/ijerph18084264
                8072553
                bbe40056-90d8-49dd-a1af-9057c28aa452
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 22 March 2021
                : 13 April 2021
                Categories
                Article

                Public health
                healthy city,health needs,internet search,outreach,public awareness
                Public health
                healthy city, health needs, internet search, outreach, public awareness

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