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name="query" type="text" value="Cowling, B J"> <ul id="abstracts"><li><input checked id="abstracts-0" name="abstracts" type="radio" value="show"> <label for="abstracts-0">Show abstracts</label></li><li><input id="abstracts-1" name="abstracts" type="radio" value="hide"> <label for="abstracts-1">Hide abstracts</label></li></ul> </div> <div class="box field is-grouped is-grouped-multiline level-item"> <div class="control"> <span class="select is-small"> <select id="size" name="size"><option value="25">25</option><option selected value="50">50</option><option value="100">100</option><option value="200">200</option></select> </span> <label for="size">results per page</label>. </div> <div class="control"> <label for="order">Sort results by</label> <span class="select is-small"> <select id="order" name="order"><option selected value="-announced_date_first">Announcement date (newest first)</option><option value="announced_date_first">Announcement date (oldest first)</option><option 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SARS-CoV-2 pandemic </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Eales%2C+O">Oliver Eales</a>, <a href="/search/?searchtype=author&amp;query=Plank%2C+M+J">Michael J. Plank</a>, <a href="/search/?searchtype=author&amp;query=Cowling%2C+B+J">Benjamin J. Cowling</a>, <a href="/search/?searchtype=author&amp;query=Howden%2C+B+P">Benjamin P. Howden</a>, <a href="/search/?searchtype=author&amp;query=Kucharski%2C+A+J">Adam J. Kucharski</a>, <a href="/search/?searchtype=author&amp;query=Sullivan%2C+S+G">Sheena G. Sullivan</a>, <a href="/search/?searchtype=author&amp;query=Vandemaele%2C+K">Katelijn Vandemaele</a>, <a href="/search/?searchtype=author&amp;query=Viboud%2C+C">Cecile Viboud</a>, <a href="/search/?searchtype=author&amp;query=Riley%2C+S">Steven Riley</a>, <a href="/search/?searchtype=author&amp;query=McCaw%2C+J+M">James M. McCaw</a>, <a href="/search/?searchtype=author&amp;query=Shearer%2C+F+M">Freya M. Shearer</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2306.01224v1-abstract-short" style="display: inline;"> To support the ongoing management of viral respiratory diseases, many countries are moving towards an integrated model of surveillance for SARS-CoV-2, influenza, and other respiratory pathogens. While many surveillance approaches catalysed by the COVID-19 pandemic provide novel epidemiological insight, continuing them as implemented during the pandemic is unlikely to be feasible for non-emergency&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2306.01224v1-abstract-full').style.display = 'inline'; document.getElementById('2306.01224v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2306.01224v1-abstract-full" style="display: none;"> To support the ongoing management of viral respiratory diseases, many countries are moving towards an integrated model of surveillance for SARS-CoV-2, influenza, and other respiratory pathogens. While many surveillance approaches catalysed by the COVID-19 pandemic provide novel epidemiological insight, continuing them as implemented during the pandemic is unlikely to be feasible for non-emergency surveillance, and many have already been scaled back. Furthermore, given anticipated co-circulation of SARS-CoV-2 and influenza, surveillance activities in place prior to the pandemic require review and adjustment to ensure their ongoing value for public health. In this perspective, we highlight key challenges for the development of integrated models of surveillance. We discuss the relative strengths and limitations of different surveillance practices and studies, their contribution to epidemiological assessment, forecasting, and public health decision making. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2306.01224v1-abstract-full').style.display = 'none'; document.getElementById('2306.01224v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 1 June, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2212.05299">arXiv:2212.05299</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2212.05299">pdf</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Physics and Society">physics.soc-ph</span> </div> </div> <p class="title is-5 mathjax"> Characterizing human collective behaviours of COVID-19 in Hong Kong </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Du%2C+Z">Zhanwei Du</a>, <a href="/search/?searchtype=author&amp;query=Zhang%2C+X">Xiao Zhang</a>, <a href="/search/?searchtype=author&amp;query=Wang%2C+L">Lin Wang</a>, <a href="/search/?searchtype=author&amp;query=Yao%2C+S">Sidan Yao</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Yuan Bai</a>, <a href="/search/?searchtype=author&amp;query=Tan%2C+Q">Qi Tan</a>, <a href="/search/?searchtype=author&amp;query=Xu%2C+X">Xiaoke Xu</a>, <a href="/search/?searchtype=author&amp;query=Pei%2C+S">Sen Pei</a>, <a href="/search/?searchtype=author&amp;query=Xiao%2C+J">Jingyi Xiao</a>, <a href="/search/?searchtype=author&amp;query=Tsang%2C+T+K">Tim K. Tsang</a>, <a href="/search/?searchtype=author&amp;query=Liao%2C+Q">Qiuyan Liao</a>, <a href="/search/?searchtype=author&amp;query=Lau%2C+E">Eric Lau</a>, <a href="/search/?searchtype=author&amp;query=Wu%2C+P">Peng Wu</a>, <a href="/search/?searchtype=author&amp;query=Gao%2C+C">Chao Gao</a>, <a href="/search/?searchtype=author&amp;query=Cowling%2C+B+J">Benjamin J Cowling</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2212.05299v1-abstract-short" style="display: inline;"> People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Hong Kong has implemented stringent public health and social measures (PHSMs) to curb COVID-19 epidemic waves since the first COVID-19 case was confirmed on 22 January 2020. People are likely to engage in collective behaviour online during&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2212.05299v1-abstract-full').style.display = 'inline'; document.getElementById('2212.05299v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2212.05299v1-abstract-full" style="display: none;"> People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Hong Kong has implemented stringent public health and social measures (PHSMs) to curb COVID-19 epidemic waves since the first COVID-19 case was confirmed on 22 January 2020. People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Here, we offer a framework to evaluate interactions among individuals emotions, perception, and online behaviours in Hong Kong during the first two waves (February to June 2020) and found a strong correlation between online behaviours of Google search and the real-time reproduction numbers. To validate the model output of risk perception, we conducted 10 rounds of cross-sectional telephone surveys from February 1 through June 20 in 2020 to quantify risk perception levels over time. Compared with the survey results, the estimates of the risk perception of individuals using our network-based mechanistic model capture 80% of the trend of people risk perception (individuals who worried about being infected) during the studied period. We may need to reinvigorate the public by engaging people as part of the solution to live their lives with reduced risk. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2212.05299v1-abstract-full').style.display = 'none'; document.getElementById('2212.05299v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 10 December, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2022. </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>&nbsp;&nbsp;</span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary"> <!-- MetaColumn 1 --> <div class="column"> <div 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