Assessing the severity of influenza: a role for longitudinal telephone surveys?
Identifieur interne : 000685 ( Pmc/Corpus ); précédent : 000684; suivant : 000686Assessing the severity of influenza: a role for longitudinal telephone surveys?
Auteurs : R. G. Pebody ; N. L. Boddington ; H. K. Green ; S. Bolotin ; A. Charlett ; J. M. WatsonSource :
- Epidemiology and Infection [ 0950-2688 ] ; 2018.
Abstract
During the 2009 influenza pandemic, a rapid assessment of disease severity was a challenge as a significant proportion of cases did not seek medical care; care-seeking behaviour changed and the proportion asymptomatic was unknown. A random-digit-dialling telephone survey was undertaken during the 2011/12 winter season in England and Wales to address the feasibility of answering these questions. A proportional quota sampling strategy was employed based on gender, age group, geographical location, employment status and level of education. Households were recruited pre-season and re-contacted immediately following peak seasonal influenza activity. The pre-peak survey was undertaken in October 2011 with 1061 individuals recruited and the post-peak telephone survey in March 2012. Eight hundred and thirty-four of the 1061 (78.6%) participants were successfully re-contacted. Their demographic characteristics compared well to national census data. In total, 8.4% of participants self-reported an influenza-like illness (ILI) in the previous 2 weeks, with 3.2% conforming to the World Health Organization (WHO) ILI case definition. In total, 29.6% of the cases reported consulting their general practitioner. 54.1% of the 1061 participants agreed to be re-contacted about providing biological samples. A population-based cohort was successfully recruited and followed up. Longitudinal survey methodology provides a practical tool to assess disease severity during future pandemics.
Url:
DOI: 10.1017/S0950268818002261
PubMed: 30109834
PubMed Central: 6453002
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PMC:6453002Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>During the 2009 influenza pandemic, a rapid assessment of disease severity was a challenge as a significant proportion of cases did not seek medical care; care-seeking behaviour changed and the proportion asymptomatic was unknown. A random-digit-dialling telephone survey was undertaken during the 2011/12 winter season in England and Wales to address the feasibility of answering these questions. A proportional quota sampling strategy was employed based on gender, age group, geographical location, employment status and level of education. Households were recruited pre-season and re-contacted immediately following peak seasonal influenza activity. The pre-peak survey was undertaken in October 2011 with 1061 individuals recruited and the post-peak telephone survey in March 2012. Eight hundred and thirty-four of the 1061 (78.6%) participants were successfully re-contacted. Their demographic characteristics compared well to national census data. In total, 8.4% of participants self-reported an influenza-like illness (ILI) in the previous 2 weeks, with 3.2% conforming to the World Health Organization (WHO) ILI case definition. In total, 29.6% of the cases reported consulting their general practitioner. 54.1% of the 1061 participants agreed to be re-contacted about providing biological samples. A population-based cohort was successfully recruited and followed up. Longitudinal survey methodology provides a practical tool to assess disease severity during future pandemics.</p>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Epidemiol Infect</journal-id>
<journal-id journal-id-type="iso-abbrev">Epidemiol. Infect</journal-id>
<journal-id journal-id-type="publisher-id">HYG</journal-id>
<journal-title-group><journal-title>Epidemiology and Infection</journal-title>
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<issn pub-type="ppub">0950-2688</issn>
<issn pub-type="epub">1469-4409</issn>
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<article-id pub-id-type="doi">10.1017/S0950268818002261</article-id>
<article-id pub-id-type="pii">S0950268818002261</article-id>
<article-id pub-id-type="publisher-id">00226</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject>
</subj-group>
<subj-group subj-group-type="section"><subject>Influenza</subject>
</subj-group>
</article-categories>
<title-group><article-title>Assessing the severity of influenza: a role for longitudinal telephone surveys?</article-title>
<alt-title alt-title-type="left-running">R. G. Pebody <italic>et al.</italic>
</alt-title>
<alt-title alt-title-type="right-running"><italic>Epidemiology & Infection</italic>
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<contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-9069-2885</contrib-id>
<name><surname>Pebody</surname>
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<contrib contrib-type="author"><name><surname>Boddington</surname>
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<contrib contrib-type="author"><name><surname>Green</surname>
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<aff id="aff1"><label>1</label>
<addr-line>National Infection Service</addr-line>
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<aff id="aff2"><label>2</label>
<addr-line>Health Protection Directorate</addr-line>
,<institution>Public Health England</institution>
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<author-notes><corresp id="cor1"><bold>Author for correspondence:</bold>
R. G. Pebody, E-mail: <email>Richard.Pebody@phe.gov.uk</email>
</corresp>
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<pub-date pub-type="ppub"><month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub"><day>15</day>
<month>8</month>
<year>2018</year>
</pub-date>
<volume>146</volume>
<issue>16</issue>
<fpage>2042</fpage>
<lpage>2048</lpage>
<history><date date-type="received"><day>05</day>
<month>2</month>
<year>2018</year>
</date>
<date date-type="rev-recd"><day>07</day>
<month>7</month>
<year>2018</year>
</date>
<date date-type="accepted"><day>11</day>
<month>7</month>
<year>2018</year>
</date>
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<permissions><copyright-statement>© Cambridge University Press 2018</copyright-statement>
<copyright-year>2018</copyright-year>
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<abstract abstract-type="normal"><p>During the 2009 influenza pandemic, a rapid assessment of disease severity was a challenge as a significant proportion of cases did not seek medical care; care-seeking behaviour changed and the proportion asymptomatic was unknown. A random-digit-dialling telephone survey was undertaken during the 2011/12 winter season in England and Wales to address the feasibility of answering these questions. A proportional quota sampling strategy was employed based on gender, age group, geographical location, employment status and level of education. Households were recruited pre-season and re-contacted immediately following peak seasonal influenza activity. The pre-peak survey was undertaken in October 2011 with 1061 individuals recruited and the post-peak telephone survey in March 2012. Eight hundred and thirty-four of the 1061 (78.6%) participants were successfully re-contacted. Their demographic characteristics compared well to national census data. In total, 8.4% of participants self-reported an influenza-like illness (ILI) in the previous 2 weeks, with 3.2% conforming to the World Health Organization (WHO) ILI case definition. In total, 29.6% of the cases reported consulting their general practitioner. 54.1% of the 1061 participants agreed to be re-contacted about providing biological samples. A population-based cohort was successfully recruited and followed up. Longitudinal survey methodology provides a practical tool to assess disease severity during future pandemics.</p>
</abstract>
<kwd-group><title>Key words</title>
<kwd>Epidemiology</kwd>
<kwd>pneumococci</kwd>
<kwd>vaccine policy development</kwd>
<kwd>vaccine preventable diseases</kwd>
<kwd>vaccines</kwd>
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