Infection Fatality Risk of the Pandemic A(H1N1)2009 Virus in Hong Kong
Identifieur interne : 000246 ( PascalFrancis/Checkpoint ); précédent : 000245; suivant : 000247Infection Fatality Risk of the Pandemic A(H1N1)2009 Virus in Hong Kong
Auteurs : Jessica Y. Wong [Hong Kong] ; PENG WU [Hong Kong] ; Hiroshi Nishiura [Hong Kong, Japon] ; Edward Goldstein [États-Unis] ; Eric H. Y. Lau [Hong Kong] ; LIN YANG [Hong Kong] ; S. K. Chuang [Hong Kong] ; Thomas Tsang [Hong Kong] ; J. S. Malik Peiris [Hong Kong] ; Joseph T. Wu [Hong Kong] ; Benjamin J. Cowling [Hong Kong]Source :
- American journal of epidemiology [ 0002-9262 ] ; 2013.
Descripteurs français
- Pascal (Inist)
- Wicri :
- geographic : Hong Kong.
- topic : Mortalité, Mort, Santé publique, Homme.
English descriptors
- KwdEn :
Abstract
One measure of the severity of a pandemic influenza outbreak at the individual level is the risk of death among people infected by the new virus. However, there are complications in estimating both the numerator and denominator. Regarding the numerator, statistical estimates of the excess deaths associated with influenza virus infections tend to exceed the number of deaths associated with laboratory-confirmed infection. Regarding the denominator, few infections are laboratory confirmed, while differences in case definitions and approaches to case ascertainment can lead to wide variation in case fatality risk estimates. Serological surveillance can be used to estimate the cumulative incidence of infection as a denominator that is more comparable across studies. We estimated that the first wave of the influenza A(H1N1)pdm09 virus in 2009 was associated with approximately 232 (95% confidence interval: 136, 328) excess deaths of all ages in Hong Kong, mainly among the elderly. The point estimates of the risk of death on a per-infection basis increased substantially with age, from below 1 per 100,000 infections in children to 1,099 per 100,000 infections in those 60-69 years of age. Substantial variation in the age-specific infection fatality risk complicates comparison of the severity of different influenza strains.
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>2009</term>
<term>Death</term>
<term>Epidemiology</term>
<term>H1N1 influenza</term>
<term>Hong Kong</term>
<term>Human</term>
<term>Infection</term>
<term>Mortality</term>
<term>Public health</term>
<term>Risk</term>
<term>Risk factor</term>
<term>Virus</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Infection</term>
<term>Mortalité</term>
<term>Mort</term>
<term>Facteur risque</term>
<term>Risque</term>
<term>2009</term>
<term>Santé publique</term>
<term>Virus</term>
<term>Hong Kong</term>
<term>Homme</term>
<term>Epidémiologie</term>
<term>Grippe H1N1</term>
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<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Hong Kong</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Mortalité</term>
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<front><div type="abstract" xml:lang="en">One measure of the severity of a pandemic influenza outbreak at the individual level is the risk of death among people infected by the new virus. However, there are complications in estimating both the numerator and denominator. Regarding the numerator, statistical estimates of the excess deaths associated with influenza virus infections tend to exceed the number of deaths associated with laboratory-confirmed infection. Regarding the denominator, few infections are laboratory confirmed, while differences in case definitions and approaches to case ascertainment can lead to wide variation in case fatality risk estimates. Serological surveillance can be used to estimate the cumulative incidence of infection as a denominator that is more comparable across studies. We estimated that the first wave of the influenza A(H1N1)pdm09 virus in 2009 was associated with approximately 232 (95% confidence interval: 136, 328) excess deaths of all ages in Hong Kong, mainly among the elderly. The point estimates of the risk of death on a per-infection basis increased substantially with age, from below 1 per 100,000 infections in children to 1,099 per 100,000 infections in those 60-69 years of age. Substantial variation in the age-specific infection fatality risk complicates comparison of the severity of different influenza strains.</div>
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<fA11 i1="03" i2="1"><s1>NISHIURA (Hiroshi)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>GOLDSTEIN (Edward)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>LAU (Eric H. Y.)</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>LIN YANG</s1>
</fA11>
<fA11 i1="07" i2="1"><s1>CHUANG (S. K.)</s1>
</fA11>
<fA11 i1="08" i2="1"><s1>TSANG (Thomas)</s1>
</fA11>
<fA11 i1="09" i2="1"><s1>PEIRIS (J. S. Malik)</s1>
</fA11>
<fA11 i1="10" i2="1"><s1>WU (Joseph T.)</s1>
</fA11>
<fA11 i1="11" i2="1"><s1>COWLING (Benjamin J.)</s1>
</fA11>
<fA14 i1="01"><s1>School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong</s1>
<s3>HKG</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency</s1>
<s2>Saitama</s2>
<s3>JPN</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard School of Public Health</s1>
<s2>Boston, Massachusetts</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>Centre for Health Protection, Department of Health, Government of the Hong Kong Special Administrative Region</s1>
<s3>HKG</s3>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Centre for Influenza Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong</s1>
<s3>HKG</s3>
<sZ>9 aut.</sZ>
</fA14>
<fA20><s1>834-840</s1>
</fA20>
<fA21><s1>2013</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>663</s2>
<s5>354000503085690130</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2013 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>34 ref.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>13-0228505</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>American journal of epidemiology</s0>
</fA64>
<fA66 i1="01"><s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>One measure of the severity of a pandemic influenza outbreak at the individual level is the risk of death among people infected by the new virus. However, there are complications in estimating both the numerator and denominator. Regarding the numerator, statistical estimates of the excess deaths associated with influenza virus infections tend to exceed the number of deaths associated with laboratory-confirmed infection. Regarding the denominator, few infections are laboratory confirmed, while differences in case definitions and approaches to case ascertainment can lead to wide variation in case fatality risk estimates. Serological surveillance can be used to estimate the cumulative incidence of infection as a denominator that is more comparable across studies. We estimated that the first wave of the influenza A(H1N1)pdm09 virus in 2009 was associated with approximately 232 (95% confidence interval: 136, 328) excess deaths of all ages in Hong Kong, mainly among the elderly. The point estimates of the risk of death on a per-infection basis increased substantially with age, from below 1 per 100,000 infections in children to 1,099 per 100,000 infections in those 60-69 years of age. Substantial variation in the age-specific infection fatality risk complicates comparison of the severity of different influenza strains.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002B30A01A</s0>
</fC02>
<fC02 i1="02" i2="X"><s0>002B05C02C</s0>
</fC02>
<fC02 i1="03" i2="X"><s0>002B30A11</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Infection</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Infection</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Infección</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Mortalité</s0>
<s5>09</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Mortality</s0>
<s5>09</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Mortalidad</s0>
<s5>09</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Mort</s0>
<s5>10</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Death</s0>
<s5>10</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Muerte</s0>
<s5>10</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Facteur risque</s0>
<s5>11</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Risk factor</s0>
<s5>11</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Factor riesgo</s0>
<s5>11</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Risque</s0>
<s5>12</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Risk</s0>
<s5>12</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Riesgo</s0>
<s5>12</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>2009</s0>
<s5>13</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>2009</s0>
<s5>13</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>2009</s0>
<s5>13</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Santé publique</s0>
<s5>14</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Public health</s0>
<s5>14</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Salud pública</s0>
<s5>14</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Virus</s0>
<s2>NW</s2>
<s5>15</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Virus</s0>
<s2>NW</s2>
<s5>15</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Virus</s0>
<s2>NW</s2>
<s5>15</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Hong Kong</s0>
<s2>NG</s2>
<s5>16</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Hong Kong</s0>
<s2>NG</s2>
<s5>16</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Hong Kong</s0>
<s2>NG</s2>
<s5>16</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Homme</s0>
<s5>17</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Human</s0>
<s5>17</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Hombre</s0>
<s5>17</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Epidémiologie</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Epidemiology</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Epidemiología</s0>
<s5>18</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Grippe H1N1</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>H1N1 influenza</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Gripe H1N1</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Chine</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>China</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>China</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Asie</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Pathologie de l'appareil respiratoire</s0>
<s5>37</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Respiratory disease</s0>
<s5>37</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Aparato respiratorio patología</s0>
<s5>37</s5>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Virose</s0>
<s5>38</s5>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Viral disease</s0>
<s5>38</s5>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Virosis</s0>
<s5>38</s5>
</fC07>
<fN21><s1>210</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
<affiliations><list><country><li>Hong Kong</li>
<li>Japon</li>
<li>États-Unis</li>
</country>
<region><li>Massachusetts</li>
</region>
</list>
<tree><country name="Hong Kong"><noRegion><name sortKey="Wong, Jessica Y" sort="Wong, Jessica Y" uniqKey="Wong J" first="Jessica Y." last="Wong">Jessica Y. Wong</name>
</noRegion>
<name sortKey="Chuang, S K" sort="Chuang, S K" uniqKey="Chuang S" first="S. K." last="Chuang">S. K. Chuang</name>
<name sortKey="Cowling, Benjamin J" sort="Cowling, Benjamin J" uniqKey="Cowling B" first="Benjamin J." last="Cowling">Benjamin J. Cowling</name>
<name sortKey="Lau, Eric H Y" sort="Lau, Eric H Y" uniqKey="Lau E" first="Eric H. Y." last="Lau">Eric H. Y. Lau</name>
<name sortKey="Lin Yang" sort="Lin Yang" uniqKey="Lin Yang" last="Lin Yang">LIN YANG</name>
<name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name>
<name sortKey="Peiris, J S Malik" sort="Peiris, J S Malik" uniqKey="Peiris J" first="J. S. Malik" last="Peiris">J. S. Malik Peiris</name>
<name sortKey="Peiris, J S Malik" sort="Peiris, J S Malik" uniqKey="Peiris J" first="J. S. Malik" last="Peiris">J. S. Malik Peiris</name>
<name sortKey="Peng Wu" sort="Peng Wu" uniqKey="Peng Wu" last="Peng Wu">PENG WU</name>
<name sortKey="Tsang, Thomas" sort="Tsang, Thomas" uniqKey="Tsang T" first="Thomas" last="Tsang">Thomas Tsang</name>
<name sortKey="Wu, Joseph T" sort="Wu, Joseph T" uniqKey="Wu J" first="Joseph T." last="Wu">Joseph T. Wu</name>
</country>
<country name="Japon"><noRegion><name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name>
</noRegion>
</country>
<country name="États-Unis"><region name="Massachusetts"><name sortKey="Goldstein, Edward" sort="Goldstein, Edward" uniqKey="Goldstein E" first="Edward" last="Goldstein">Edward Goldstein</name>
</region>
</country>
</tree>
</affiliations>
</record>
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