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    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">JMIR</journal-id>
            <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
            <journal-title>Journal of Medical Internet Research</journal-title>
            <issn pub-type="epub">1438-8871</issn>
            <publisher>
                <publisher-name>Gunther Eysenbach</publisher-name>
                <publisher-loc>JMIR Publications Inc., Toronto, Canada</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="publisher-id">v14i3e77</article-id>
            <article-id pub-id-type="pmid">22634568</article-id>
            <article-id pub-id-type="doi">10.2196/jmir.2148</article-id>
            <article-categories>
                <subj-group subj-group-type="article-type">
                    <subject>Original Paper</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>A Novel Evaluation of World No Tobacco Day in Latin America</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="editor">
                    <name>
                        <surname>Eysenbach</surname>
                        <given-names>Gunther</given-names>
                    </name>
                </contrib>
            </contrib-group>
            <contrib-group>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Anonymous</surname>
                    </name>
                </contrib>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Anonymous</surname>
                    </name>
                </contrib>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Anonymous</surname>
                    </name>
                </contrib>
            </contrib-group>
            <contrib-group>
                <contrib contrib-type="author" id="contrib1" corresp="yes">
                    <name name-style="western">
                        <surname>Ayers</surname>
                        <given-names>John W</given-names>
                    </name>
                    <degrees>MA, PhD</degrees>
                    <xref ref-type="aff" rid="aff1">1</xref>
                    <address>
                        <institution>Children's Hospital Informatics Program in the Harvard-MIT Division of Health Sciences and Technology</institution>
                        <addr-line>1 Autumn St</addr-line>
                        <addr-line>Boston, MA, 02215</addr-line>
                        <country>United States</country>
                        <phone>1 617 355 6000</phone>
                        <fax>1 617 355 6998</fax>
                        <email>ayers.john.w@gmail.com</email>
                    </address>
                    <xref ref-type="aff" rid="aff2">2</xref>
                    <xref ref-type="aff" rid="aff3">3</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib2">
                    <name name-style="western">
                        <surname>Althouse</surname>
                        <given-names>Benjamin M</given-names>
                    </name>
                    <degrees>ScM</degrees>
                    <xref ref-type="aff" rid="aff4">4</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib3">
                    <name name-style="western">
                        <surname>Allem</surname>
                        <given-names>Jon-Patrick</given-names>
                    </name>
                    <degrees>MA</degrees>
                    <xref ref-type="aff" rid="aff5">5</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib4">
                    <name name-style="western">
                        <surname>Ford</surname>
                        <given-names>Daniel E</given-names>
                    </name>
                    <degrees>MPH, MD</degrees>
                    <xref ref-type="aff" rid="aff4">4</xref>
                    <xref ref-type="aff" rid="aff6">6</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib5">
                    <name name-style="western">
                        <surname>Ribisl</surname>
                        <given-names>Kurt M</given-names>
                    </name>
                    <degrees>PhD</degrees>
                    <xref ref-type="aff" rid="aff7">7</xref>
                    <xref ref-type="aff" rid="aff8">8</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib6">
                    <name name-style="western">
                        <surname>Cohen</surname>
                        <given-names>Joanna E</given-names>
                    </name>
                    <degrees>MHSc, PhD</degrees>
                    <xref ref-type="aff" rid="aff4">4</xref>
                </contrib>
            </contrib-group>
            <aff id="aff1" rid="aff1">
                <sup>1</sup>
                <institution>Children's Hospital Informatics Program in the Harvard-MIT Division of Health Sciences and Technology</institution>
                <addr-line>Boston, MA</addr-line>
                <country>United States</country>
            </aff>
            <aff id="aff2" rid="aff2">
                <sup>2</sup>
                <institution>Children's Hospital Boston</institution>
                <addr-line>Boston, MA</addr-line>
                <country>United States</country>
            </aff>
            <aff id="aff3" rid="aff3">
                <sup>3</sup>
                <institution>Harvard Medical School</institution>
                <addr-line>Boston, MA</addr-line>
                <country>United States</country>
            </aff>
            <aff id="aff4" rid="aff4">
                <sup>4</sup>
                <institution>Johns Hopkins Bloomberg School of Public Health</institution>
                <addr-line>Baltimore, MD</addr-line>
                <country>United States</country>
            </aff>
            <aff id="aff5" rid="aff5">
                <sup>5</sup>
                <institution>Keck School of Medicine</institution>
                <institution>University of Southern California</institution>
                <addr-line>Los Angeles, CA</addr-line>
                <country>United States</country>
            </aff>
            <aff id="aff6" rid="aff6">
                <sup>6</sup>
                <institution>Johns Hopkins School of Medicine</institution>
                <addr-line>Baltimore, MD</addr-line>
                <country>United States</country>
            </aff>
            <aff id="aff7" rid="aff7">
                <sup>7</sup>
                <institution>Gillings School of Global Public Health</institution>
                <institution>University of North Carolina</institution>
                <addr-line>Chapel Hill, NC</addr-line>
                <country>United States</country>
            </aff>
            <aff id="aff8" rid="aff8">
                <sup>8</sup>
                <institution>Lineberger Comprehensive Cancer Center</institution>
                <addr-line>Chapel Hill, NC</addr-line>
                <country>United States</country>
            </aff>
            <pub-date pub-type="collection">
                <season>May-Jun</season>
                <year>2012</year>
            </pub-date>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>05</month>
                <year>2012</year>
            </pub-date>
            <volume>14</volume>
            <issue>3</issue>
            <elocation-id>e77</elocation-id>
            <!--history from ojs - api-xml-->
            <history>
                <date date-type="received">
                    <day>26</day>
                    <month>04</month>
                    <year>2012</year>
                </date>
                <date date-type="rev-request">
                    <day>14</day>
                    <month>05</month>
                    <year>2012</year>
                </date>
                <date date-type="rev-recd">
                    <day>16</day>
                    <month>05</month>
                    <year>2012</year>
                </date>
                <date date-type="accepted">
                    <day>16</day>
                    <month>05</month>
                    <year>2012</year>
                </date>
            </history>
            <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
            <copyright-statement>&#169;John W Ayers, Benjamin M Althouse, Jon-Patrick Allem, Daniel E Ford, Kurt M Ribisl, Joanna E Cohen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 28.05.2012. </copyright-statement>
            <copyright-year>2012</copyright-year>
            <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
                <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.</p>
            </license>
            <self-uri xlink:href="http://www.jmir.org/2012/3/e77/" xlink:type="simple" />
            <abstract>
                <sec sec-type="background">
                    <title>Background</title>
                    <p>World No Tobacco Day (WNTD), commemorated annually on May 31, aims to inform the public about tobacco harms. Because tobacco control surveillance is usually annualized, the effectiveness of WNTD remains unexplored into its 25th year.</p>
                </sec>
                <sec sec-type="objective">
                    <title>Objective</title>
                    <p>To explore the potential of digital surveillance (infoveillance) to evaluate the impacts of WNTD on population awareness of and interest in cessation.</p>
                </sec>
                <sec sec-type="methods">
                    <title>Methods</title>
                    <p>Health-related news stories and Internet search queries were aggregated to form a continuous and real-time data stream. We monitored daily news coverage of and Internet search queries for cessation in seven Latin American nations from 2006 to 2011.</p>
                </sec>
                <sec sec-type="results">
                    <title>Results</title>
                    <p>Cessation news coverage peaked around WNTD, typically increasing 71% (95% confidence interval [CI] 61&#8211;81), ranging from 61% in Mexico to 83% in Venezuela. Queries indicative of cessation interest peaked on WNTD, increasing 40% (95% CI 32&#8211;48), ranging from 24% in Colombia to 84% in Venezuela. A doubling in cessation news coverage was associated with approximately a 50% increase in cessation queries. To gain a practical perspective, we compared WNTD-related activity with New Year&#8217;s Day and several cigarette excise tax increases in Mexico. Cessation queries around WNTD were typically greater than New Year&#8217;s Day and approximated a 2.8% (95% CI &#8211;0.8 to 6.3) increase in cigarette excise taxes.</p>
                </sec>
                <sec sec-type="conclusions">
                    <title>Conclusions</title>
                    <p>This novel evaluation suggests WNTD had a significant impact on popular awareness (media trends) and individual interest (query trends) in smoking cessation. Because WNTD is constantly evolving, our work is also a model for real-time surveillance and potential improvement in WNTD and similar initiatives. </p>
                </sec>
            </abstract>
            <kwd-group>
                <kwd>Tobacco smoking</kwd>
                <kwd>evaluation research</kwd>
                <kwd>health communication</kwd>
                <kwd>informatics</kwd>
                <kwd>infoveillance</kwd>
                <kwd>infodemiology</kwd>
            </kwd-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="introduction">
            <title>Introduction</title>
            <p>Tobacco is responsible for about 4 million premature deaths each year, mostly in developing countries [<xref ref-type="bibr" rid="ref1">1</xref>] where smoking continues to find safe harbor [<xref ref-type="bibr" rid="ref2">2</xref>]. Latin America has the seventh and third highest smoking-related mortality among men and women, respectively, in the 14 epidemiologic global regions [<xref ref-type="bibr" rid="ref1">1</xref>]. Latin America&#8217;s share of smoking-attributable mortality will likely increase given the high prevalence of smoking: 43% of men and 23% of women smoke in Peru, 41% and 31% in Chile, 37% and 12% in Mexico, and 34% and 24% in Argentina, compared with 23% and 18% in the United States [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>].</p>
            <p>Mandated by the World Health Assembly in 1987 and commemorated annually on May 31, World No Tobacco Day (WNTD) aims to inform the public about the global tobacco epidemic using a combination of mass media approaches, including television, radio, and the Internet [<xref ref-type="bibr" rid="ref5">5</xref>]. WNTD is believed to be especially important in regions with limited resources for cessation campaigns [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>] and limited (albeit rapidly changing) tobacco control policy provisions, like in Latin America [<xref ref-type="bibr" rid="ref8">8</xref>-<xref ref-type="bibr" rid="ref11">11</xref>]. However, nearing the 25th anniversary of WTND, its effectiveness remains unexplored.</p>
            <p>Because tobacco surveillance is typically annualized, it is exceedingly difficult to estimate the impact of a single awareness day [<xref ref-type="bibr" rid="ref12">12</xref>]. In nearly all studies [<xref ref-type="bibr" rid="ref13">13</xref>], investigators make comparisons using annual data from cross-sectional or cohort surveys before and after the intervention [<xref ref-type="bibr" rid="ref14">14</xref>]; however, differences across the year may not be attributable to the intervention effect [<xref ref-type="bibr" rid="ref15">15</xref>]. Sometimes investigators ask respondents in cross-sectional surveys to describe their exposure to an intervention, comparing those reporting exposure with those not reporting exposure [<xref ref-type="bibr" rid="ref16">16</xref>]. Rarely, investigators use cross-sectional monthly survey responses to yield estimates on a finer temporal resolution [<xref ref-type="bibr" rid="ref17">17</xref>], but these trends are costly to obtain and are still not useful for a single awareness day, given the primary effects are expected on a finer temporal resolution than months. Pioneering work in infodemiology and infoveillance provided a framework for how to assess WNTD&#8217;s potential effectiveness [<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref23">23</xref>]. For instance, Twitter feeds presage cholera epidemics [<xref ref-type="bibr" rid="ref24">24</xref>]; Internet search queries forecast dengue incidence [<xref ref-type="bibr" rid="ref25">25</xref>]; and unstructured media reports provide the earliest alerts of disease outbreaks [<xref ref-type="bibr" rid="ref26">26</xref>]. Building on this work, we employed a novel daily digital surveillance approach using freely available and public archives to estimate the effectiveness of WNTD in seven Latin American nations.</p>
            <p>We monitored both intermediate and primary outcomes. First, WNTD may promote cessation awareness through the promotion of smoking cessation in news media [<xref ref-type="bibr" rid="ref13">13</xref>]. By monitoring online news archives for articles promoting cessation, we captured cessation awareness trends that may have been motivated by WNTD. Second, WNTD may encourage smokers to search the Web for cessation resources [<xref ref-type="bibr" rid="ref27">27</xref>]. By monitoring aggregate Internet search queries indicative of cessation, we captured interest in cessation that may have been motivated by WNTD. WNTD increases in cessation awareness may trigger increases in cessation interest; therefore, we examined the relationship between cessation news coverage and Internet search queries for cessation.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <p>To address the study objectives, we analyzed online news media promoting cessation and online search queries for cessation from 2006 to 2011 in Mexico, Colombia, Argentina, Peru, Venezuela, Chile, and Ecuador using a quasi-experimental design [<xref ref-type="bibr" rid="ref15">15</xref>].</p>
            <p>We monitored weekly news stories archived on Google News that mentioned quitting smoking (Google Inc, Mountain View, CA, USA; news.google.com). Google News captures a broad spectrum of print, radio, and television media, and therefore is a useful archive to monitor cessation media stories. To identify the country of origin for each article, we downloaded data from nation-specific Google News domains (eg, news.google.com.mx for Mexico). All stories that mentioned smoking cessation were monitored relative to all stories in each nation. The numerator was the number of articles containing the phrase &#8220;dejar de fumar&#8221; (literally &#8220;give up smoking&#8221;), chosen based on discussion with experts and native Spanish speakers familiar with linguistic nuances across the nations monitored. The denominator was the number of stories that contained any universal conjunctive phrases, such as those containing &#8220;de,&#8221; thereby indicating a count of <italic>all </italic>stories. We report the resulting quotient per 100,000 stories.</p>
            <p>Aggregate query trends were downloaded from Google Insights for Search (www.google.com/insights/). We monitored all queries that included &#8220;dejar de fumar&#8221; by nation. Trends were analyzed on a relative search volume (RSV) scale, with queries normalized to the period with the highest search proportion&#8212;for example, RSV = 100 is the highest search proportion period (cessation queries versus all search queries), and RSV = 50 is 50% of the highest search proportion. This approach corrects for trending in absolute search volume that is usually increasing for all common queries [<xref ref-type="bibr" rid="ref28">28</xref>].</p>
            <p>We analyzed data on weekly and daily time trends. Visual inspection of the data suggested the likely impact of WNTD was a pulse effect, an immediate change in mean news or query trends, rather than a durable shift. Because WNTD is a global program, there are no nations that may serve as untreated controls. As a result, we specified interrupted time series [<xref ref-type="bibr" rid="ref29">29</xref>] within each nation to estimate the mean RSV around and including WNTD (3 weeks, including the week of, the week before, and the week after WNTD) to capture the rise and decline in WNTD spikes in reference to a within-nation RSV sampling from the 12 weeks before and after the WNTD period. The weeks before and after WNTD were included to capture presaging and lingering increases in news and search that was visually evident in the data inspection. We estimated the effect size as a ratio between WNTD and reference periods to make estimates comparable across nations (Ho:(RSV<sub>WNTD </sub>&#8211; RSV<sub>reference weeks</sub>)/RSV<sub>reference weeks </sub>= 0) [<xref ref-type="bibr" rid="ref30">30</xref>]. To find the amount of variance in search queries explained by media trends, we regressed news trends lagged by 0, 1, and 2 weeks against search terms and reported <italic>r</italic>
                <italic>2 </italic>for all periods and after selecting only periods around WNTD [<xref ref-type="bibr" rid="ref31">31</xref>].</p>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>
                <xref ref-type="fig" rid="figure1">Figure 1</xref> shows example cessation news coverage and cessation query trends in Mexico (patterns were similar in the six other study nations). Both news and query trends spiked in Mexico around WNTD. Averaging across years, cessation news trends typically peaked at 30 per 100,000 news stories the week of WNTD with cessation query trends peaking at 95% (RSV) of the highest search proportion week (with the highest RSV, 100, being on New Year&#8217;s Day 2008). Average trends across years (<xref ref-type="fig" rid="figure1">Figure 1</xref>B) suggested increases around WNTD were greater than the usual New Year&#8217;s spikes in Mexico. News and query peaks varied in their timing where there were strong buildups in news coverage beginning almost a month before WNTD, terminating 2 or 3 days after WNTD (<xref ref-type="fig" rid="figure1">Figure 1</xref>C), and queries had a pronounced peak around WNTD with queries remaining higher for a week after WNTD. Cessation news trends averaged 147 per 100,000 stories on WNTD, and queries had the highest search proportion day (RSV = 100) on WNTD.</p>
            <p>Statistical analysis suggested WNTD was associated with increases in cessation news coverage and cessation queries in all nations (<xref ref-type="fig" rid="figure2">Figure 2</xref>). Averaging across all nations and years suggested cessation news trends were 71% (95% confidence interval [CI] 61&#8211;81) higher and cessation query trends were 40% (95% CI 32&#8211;48) higher around WNTD than expected, as compared with trends 12 weeks before and after the WNTD period. Cessation news increases varied year to year, ranging from 24% (95% CI 18&#8211;30) to 116% (95% CI 103&#8211;128) for 2006 and 2009, respectively. Cessation query increases ranged from 28% (95% CI 21&#8211;36) to 50% (95% CI 43&#8211;57) for 2009 and 2008, respectively. Analyses by nation suggested news mentions of cessation ranged from 61% (95% CI 31&#8211;91) to 83% (95% CI 53&#8211;113) higher around WNTD in Mexico and Venezuela, respectively (<xref ref-type="fig" rid="figure3">Figure 3</xref>). Cessation queries ranged from 24% (95% CI 15&#8211;32) to 84% (95% CI 68&#8211;100) higher around WNTD in Argentina and Venezuela, respectively.</p>
            <p>Cessation news coverage explained limited amounts of variance in cessation queries. Multiple <italic>r</italic>
                <italic>2 </italic>ranged from .024 in Argentina to .516 in Mexico. Generally, cessation news coverage and cessation queries were not strongly associated across all time periods. However, the correlation between mean trends 3 months before to 3 months after WNTD was substantially higher (eg, <italic>r </italic>= .5 in Mexico). <xref ref-type="fig" rid="figure4">Figure 4</xref> compares the magnitude of the effect sizes for search and news trend increases around WNTD by nation and year. Analyses showed increases in news trends (the week of, and before and after WNTD) were larger than increases in search query trends for nearly all the years, suggesting increases in cessation news coverage had diminishing returns on cessation queries during this narrow period. As such, a doubling in cessation news coverage corresponded with about a 50% increase in cessation queries.</p>
            <p>Increases in cessation news coverage and cessation queries around WNTD need to be placed in practical perspective. Cigarette excise tax increases are the most effective tobacco control policy [<xref ref-type="bibr" rid="ref32">32</xref>]. Around New Year&#8217;s Day in 2007, 2008, 2009, and 2011, Mexico increased its cigarette excise tax 4.7%, 1.3%, 1.2%, and 7.8%, respectively. We compared increases in cessation news coverage and cessation queries around WNTD with those from these tax years. In Mexico, increases in cessation queries around New Year&#8217;s Day (compared with the WNTD baseline) were as little as 10% (95% CI 2&#8211;23). WNTD-related increases were typically much larger than New Year&#8217;s-related increases in absence of a tax increase and were sometimes greater than increases when a new tax increase was also implemented. Regressing tax increases against WNTD increases across years and predicting the result for the overall mean suggested that WNTD increases in cessation news coverage and query trends approximated those for a 2.8% (95% CI &#8211;0.8 to 6.3) cigarette excise tax increase. Additionally, the estimate is based on a small sample (6 years), so while it is qualitatively accurate, the effect of WNTD may be equivalent to a somewhat lower or higher tax, especially since all tax increases occurred in addition to any New Year&#8217;s effects.</p>
            <fig id="figure1" position="float">
                <label>Figure 1</label>
                <caption>
                    <p>Example World No Tobacco Day (WNTD) time trends in Mexico, 2006-2011.
(A) Entire series by week, (B) entire weekly series with mean annualized estimate, and (C) daily series with mean estimates. Daily query estimates were restricted to 2010 and 2011 due to data unavailability.</p>
                </caption>
                <graphic xlink:href="jmir_v14i3e77_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
            </fig>
            <fig id="figure2" position="float">
                <label>Figure 2</label>
                <caption>
                    <p>Pooled estimates of World No Tobacco Day effectiveness in Latin America, 2006-2011.
Estimates are made comparing the week of (and before and after) World No Tobacco Day with 12 weeks before and after that period.</p>
                </caption>
                <graphic xlink:href="jmir_v14i3e77_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
            </fig>
            <fig id="figure3" position="float">
                <label>Figure 3</label>
                <caption>
                    <p>Nation-specific estimates of World No Tobacco Day effectiveness in Latin America, 2006-2011.
Dotted line indicates average effect for all nations and years as a reference point. Data were unavailable in Ecuador, Chile, and Columbia for 2006 and 2007.</p>
                </caption>
                <graphic xlink:href="jmir_v14i3e77_fig3.png" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
            </fig>
            <fig id="figure4" position="float">
                <label>Figure 4</label>
                <caption>
                    <p>Cessation news coverage is positively associated with cessation Internet search queries.
Nodes are sized according to mean annual search query volume, with nodes by nation and year.</p>
                </caption>
                <graphic xlink:href="jmir_v14i3e77_fig4.png" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
            </fig>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>We demonstrated the feasibility of novel digital surveillance for tobacco control, yielding the first population estimates of WNTD&#8217;s effectiveness in the first program evaluation to use digital surveillance. WNTD coincided with large increases in cessation news coverage and cessation Internet search queries in seven Latin American nations. WNTD increases eclipsed New Year&#8217;s Day increases and approximated the effectiveness of the combination of New Year&#8217;s and a 2.8% cigarette tax hike. There was little correlation between news trends and query trends when comparing across the entire time series, but higher correlation when comparing trends around WNTD. This may indicate that news plays a minor role in increasing cessation queries generally but is magnified when the population is primed by WNTD [<xref ref-type="bibr" rid="ref33">33</xref>].</p>
            <p>This report builds on a programmatic agenda complementing tobacco control surveillance with digital data streams [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>]. Epidemiologists have demonstrated the potential of digital surveillance for monitoring chickenpox [<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>], dengue [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref38">38</xref>], gastritis [<xref ref-type="bibr" rid="ref36">36</xref>], influenza [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref39">39</xref>] including H1N1 [<xref ref-type="bibr" rid="ref20">20</xref>], kidney stones [<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref41">41</xref>], listeriosis [<xref ref-type="bibr" rid="ref23">23</xref>], Lyme disease [<xref ref-type="bibr" rid="ref42">42</xref>], methicillin-resistant <italic>Staphylococcus aureus </italic>[<xref ref-type="bibr" rid="ref43">43</xref>], and salmonella outbreaks [<xref ref-type="bibr" rid="ref22">22</xref>]. However, applications to health behaviors are very rare [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]. With smoking accounting for almost 6 million deaths each year [<xref ref-type="bibr" rid="ref45">45</xref>], the application of digital surveillance to tobacco control may be of great significance. Herein we present our approach as a viable method to evaluate WNTD where traditional methods were ill equipped to do so.</p>
            <p>While the infoveillance approach has many strengths, it is not without limitations. We only considered increase in news coverage around WNTD and did not consider the placement of news coverage (eg, lead versus minor story), but this may be captured by news volume, where increased volume is associated with premium placement. Cessation interest was only assessed for smokers with access to the Internet, but we assume that changes in cessation interest among those with access mirrors those without access [<xref ref-type="bibr" rid="ref46">46</xref>]. Recent studies encourage this assumption, suggesting queries are valid proxies for a host of health outcomes, even in disparate regions [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]. For example, depression queries correlate with suicide rates [<xref ref-type="bibr" rid="ref47">47</xref>] and cancer queries correlate with cancer-specific incidence rates [<xref ref-type="bibr" rid="ref48">48</xref>]. We compared WNTD with cigarette excise taxes in Mexico (the only nation with several cigarette excise tax increases), and all tax increases occurred on New Year&#8217;s Day; hence, WNTD&#8217;s approximation to a 2.8% tax increase might be larger in other nations and when taxes do not increase during New Year&#8217;s.</p>
            <p>Global health awareness campaigns are difficult to evaluate given sparse transnational data streams, and contemporary surveillance does not collect data on the same time dimensions as the campaigns that will likely effect change (eg, annual surveillance versus daily impacts) [<xref ref-type="bibr" rid="ref12">12</xref>]. Tobacco control can learn much from adapting novel techniques that are gaining traction in biosurveillance [<xref ref-type="bibr" rid="ref38">38</xref>]. Here we have built on validated approaches used in disease surveillance [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref38">38</xref>] and highlighted the potential advantages of these techniques over other tobacco control surveillance methods. Survey-based tobacco control surveillance has high financial costs, lacks timeliness, and may not reach some populations (eg, cell phone-only households) [<xref ref-type="bibr" rid="ref49">49</xref>]. Also, responses gathered may be biased by strong social desirability [<xref ref-type="bibr" rid="ref50">50</xref>]. Alternatives using passive data generation are only reliable in certain geographic areas and still require costly data processing (eg, nicotine replacement therapy sales) [<xref ref-type="bibr" rid="ref51">51</xref>]. Digital surveillance, as such, is a critical forefront for tobacco control with real-time, public, and low-cost data streams useful for program and policy evaluations. Analyses of media and search query trends also afford greater transparency, as scientists may quickly replicate each other&#8217;s work, downloading data from regularly updated online archives. Extending our approach can serve as a continual evaluation system for global WNTD effects.</p>
            <p>In part, these results may outline how well WNTD&#8217;s yearly themes resonate with Latin American populations. In 2009 and 2010 when WNTD focused on tobacco health warnings and smoking among women, respectively, cessation news coverage was the highest. News coverage increases were smallest when WNTD focused on general campaigns, such as promoting the World Health Organization Framework Convention on Tobacco Control (2011) and promoting awareness of the health effects of nonsmoking-related tobacco harms (2006). The variability in cessation search queries was much smaller year to year, but increases were generally larger during WNTD&#8217;s clean indoor air (2007) and restricting youth access to tobacco (2008) campaigns.</p>
            <p>WNTD planners, and those responsible for tobacco cessation initiatives more broadly, may also use our results and techniques to scale up and refine the online components of their campaigns [<xref ref-type="bibr" rid="ref52">52</xref>]. Since many search engines rank links according to the number of times searchers visit the page, or how many other pages link to a page, it is unrealistic to assume that creating cessation webpages, blogs, or YouTube videos will necessarily reach large numbers of tobacco users, even if they are seeking these resources. Search engine advertisements triggered by user-specific queries may be purchased for as little as US $0.01 per click. Advertised links appear on the first page of search results, ensuring that cessation queries meet webpages with current, health-conscious, and objective discussion of cessation when program planners advertise online. Search queries are a rare opportunity to reach smokers when they are thinking about cessation, while at the same time taking into account their stage in the cessation process with links individually tailored to optimize effectiveness [<xref ref-type="bibr" rid="ref53">53</xref>,<xref ref-type="bibr" rid="ref54">54</xref>]. By appropriately purchasing ad links, planners can ensure that evidence-based approaches maintain a strong first-page presence in cessation search results, especially around WNTD when many smokers appear interested in cessation. This is especially crucial given that most smokers attempt to quit without professional counseling or pharmacologic therapy [<xref ref-type="bibr" rid="ref55">55</xref>].</p>
            <p>The effectiveness of WNTD has been widely speculated [<xref ref-type="bibr" rid="ref8">8</xref>], but to our knowledge these are the first empirical estimates of its impact. In evaluating this intervention, we highlight the importance of digital surveillance for performing difficult evaluations using real-time, low-cost, and transparent methods. Herein we find that WNTD is producing large increases in cessation news coverage and cessation Internet search queries, rivaling the effects of Mexico&#8217;s recent tobacco tax increases and New Year&#8217;s resolutions. Because WNTD is constantly evolving, our work is also a framework for real-time surveillance and potential improvement in WNTD.</p>
        </sec>
    </body>
    <back>
        <glossary>
            <title>Abbreviations</title>
            <def-list>
                <def-item>
                    <term id="abb1">CI</term>
                    <def>
                        <p> confidence interval</p>
                    </def>
                </def-item>
                <def-item>
                    <term id="abb2">RSV</term>
                    <def>
                        <p> relative search volume</p>
                    </def>
                </def-item>
                <def-item>
                    <term id="abb3">WNTD</term>
                    <def>
                        <p> World No Tobacco Day</p>
                    </def>
                </def-item>
            </def-list>
        </glossary>
        <ack>
            <p>This research was supported by a grant to JWA from the Institute for Global Tobacco Control with funding from the Bloomberg Initiative to Reduce Tobacco Use. JWA was also supported by a grant from Google.org and a National Institute of Child Health &#38; Human Development (NICHHD) Training Grant in Pediatric Emergency Medicine (5T32HD040128). A National Science Foundation (NSF) Graduate Research Fellowship also supported BMA. The Bloomberg Initiative to Reduce Tobacco Use, Google.org, NICHHD, and NSF had no role in the design and conduct of the study; in the collection, management, analysis, and interpretation of the data; or in the preparation, review, or approval of the manuscript. This report was improved by comments from a colloquium at Children&#8217;s Hospital Boston, University of North Carolina, and University of Southern California Keck School of Medicine. We thank John Brownstein, Elizabeth Kennedy, Ken Mandl, Seth Noar, Steve Sussman, and Jennifer Unger for their helpful criticisms.</p>
        </ack>
        <fn-group>
            <fn fn-type="con">
                <p>Study concept and design: JWA, JEC. Acquisition of data: JWA, BMA. Analysis and interpretation of data: JWA, BMA, JEC. Drafting of the manuscript: JWA, BMA, JPA. Critical revision of the manuscript for important intellectual content: JWA, BMA, JPA, DEF, KMR, JEC.</p>
            </fn>
            <fn fn-type="conflict">
                <p>JWA and BMA share an equity stake in a consulting group, Directing Medicine, that helps others implement some of the ideas embodied in this work. The data generation procedures, however, are not proprietary and rely on public archives. There are no other conflicts of interest relevant to this study.</p>
                <p>Editorial note: This paper was originally peer-reviewed by another journal. JMIR reviewed the paper internally and accepted the peer-review reports and the authors' responses as forwarded by the author. Thus, the identity of the reviewers is not known to the editor.</p>
            </fn>
        </fn-group>
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