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The 1918-1920 influenza pandemic in Peru

Identifieur interne : 000896 ( PascalFrancis/Checkpoint ); précédent : 000895; suivant : 000897

The 1918-1920 influenza pandemic in Peru

Auteurs : G. Chowell [États-Unis] ; C. Viboud [États-Unis] ; L. Simonsen [États-Unis] ; M. A. Miller [États-Unis] ; J. Hurtado [Pérou] ; G. Soto [Pérou] ; R. Vargas [Pérou] ; M. A. Guzman [Pérou] ; M. Ulloa [Pérou] ; C. V. Munayco [Pérou]

Source :

RBID : Pascal:11-0384310

Descripteurs français

English descriptors

Abstract

Background: Increasing our knowledge of past influenza pandemic patterns in different regions of the world is crucial to guide preparedness plans against future influenza pandemics. Here, we undertook extensive archival collection efforts from three representative cities of Peru-Lima in the central coast, Iquitos in the northeastern Amazon region, Ica in the southern coast-to characterize the temporal, age and geographic patterns of the 1918-1920 influenza pandemic in this country. Materials and methods: We analyzed historical documents describing the 1918-1920 influenza pandemic in Peru and retrieved individual mortality records from local provincial archives for quantitative analysis. We applied seasonal excess mortality models to daily and monthly respiratory mortality rates for 1917-1920 and quantified transmissibility estimates based on the daily growth rate in respiratory deaths. Results: A total of 52,739 individual mortality records were inspected from local provincial archives. We found evidence for an initial mild pandemic wave during July-September 1918 in Lima, identified a synchronized severe pandemic wave of respiratory mortality in all three locations during November 1918-February 1919, and a severe pandemic wave during January 1920-March 1920 in Lima and July-October 1920 in Ica. There was no recrudescent pandemic wave in 1920 in Iquitos. Remarkably, Lima experienced the brunt of the 1918-1920 excess mortality impact during the 1920 recrudescent wave, with all age groups experiencing an increase in all cause excess mortality from 1918-1919 to 1920. Middle age groups experienced the highest excess mortality impact, relative to baseline levels, in the 1918-1919 and 1920 pandemic waves. Cumulative excess mortality rates for the 1918-1920 pandemic period were higher in Iquitos (2.9%) than Lima (1.6%). The mean reproduction number for Lima was estimated in the range 1.3-1.5. Conclusions: We identified synchronized pandemic waves of intense excess respiratory mortality during November 1918-February 1919 in Lima, Iquitos, Ica, followed by asynchronous recrudescent waves in 1920. Cumulative data from quantitative studies of the 1918 influenza pandemic in Latin American settings have confirmed the high mortality impact associated with this pandemic. Further historical studies in lesser studied regions of Latin America, Africa, and Asia are warranted for a full understanding of the global impact of the 1918 pandemic virus.


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Pascal:11-0384310

Le document en format XML

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<name sortKey="Vargas, R" sort="Vargas, R" uniqKey="Vargas R" first="R." last="Vargas">R. Vargas</name>
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<name sortKey="Munayco, C V" sort="Munayco, C V" uniqKey="Munayco C" first="C. V." last="Munayco">C. V. Munayco</name>
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<div type="abstract" xml:lang="en">Background: Increasing our knowledge of past influenza pandemic patterns in different regions of the world is crucial to guide preparedness plans against future influenza pandemics. Here, we undertook extensive archival collection efforts from three representative cities of Peru-Lima in the central coast, Iquitos in the northeastern Amazon region, Ica in the southern coast-to characterize the temporal, age and geographic patterns of the 1918-1920 influenza pandemic in this country. Materials and methods: We analyzed historical documents describing the 1918-1920 influenza pandemic in Peru and retrieved individual mortality records from local provincial archives for quantitative analysis. We applied seasonal excess mortality models to daily and monthly respiratory mortality rates for 1917-1920 and quantified transmissibility estimates based on the daily growth rate in respiratory deaths. Results: A total of 52,739 individual mortality records were inspected from local provincial archives. We found evidence for an initial mild pandemic wave during July-September 1918 in Lima, identified a synchronized severe pandemic wave of respiratory mortality in all three locations during November 1918-February 1919, and a severe pandemic wave during January 1920-March 1920 in Lima and July-October 1920 in Ica. There was no recrudescent pandemic wave in 1920 in Iquitos. Remarkably, Lima experienced the brunt of the 1918-1920 excess mortality impact during the 1920 recrudescent wave, with all age groups experiencing an increase in all cause excess mortality from 1918-1919 to 1920. Middle age groups experienced the highest excess mortality impact, relative to baseline levels, in the 1918-1919 and 1920 pandemic waves. Cumulative excess mortality rates for the 1918-1920 pandemic period were higher in Iquitos (2.9%) than Lima (1.6%). The mean reproduction number for Lima was estimated in the range 1.3-1.5. Conclusions: We identified synchronized pandemic waves of intense excess respiratory mortality during November 1918-February 1919 in Lima, Iquitos, Ica, followed by asynchronous recrudescent waves in 1920. Cumulative data from quantitative studies of the 1918 influenza pandemic in Latin American settings have confirmed the high mortality impact associated with this pandemic. Further historical studies in lesser studied regions of Latin America, Africa, and Asia are warranted for a full understanding of the global impact of the 1918 pandemic virus.</div>
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</fA12>
<fA12 i1="04" i2="1">
<s1>CHOWELL (Gerardo)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01">
<s1>Mathematical, Computational & Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University</s1>
<s2>Tempe, AZ</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="02">
<s1>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health</s1>
<s2>Bethesda, MD</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="03">
<s1>Department of Global Health, School of Public Health and Health Services, George Washington University</s1>
<s2>Washington, DC</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="04">
<s1>Direcclón General de Epidemiologia, Peru Ministerio de Salud</s1>
<s2>Lima</s2>
<s3>PER</s3>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
</fA14>
<fA14 i1="05">
<s1>Hospital Belén, Direcclón Regional de Salud</s1>
<s2>La Libertad</s2>
<s3>PER</s3>
<sZ>7 aut.</sZ>
</fA14>
<fA14 i1="06">
<s1>Universidad Nacional de la Amazonia Peruana</s1>
<s3>PER</s3>
<sZ>8 aut.</sZ>
</fA14>
<fA15 i1="01">
<s1>Division of International Epidemiology and Population Studies, Fogarty International Center- NIH</s1>
<s2>Bethesda, MD 20892</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</fA15>
<fA15 i1="02">
<s1>School of Human Evolution and Social Change, Arizona State University</s1>
<s2>Tempe, AZ 85282</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
</fA15>
<fA20>
<s2>B21-B26</s2>
</fA20>
<fA21>
<s1>2011</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>20289</s2>
<s5>354000509461860040</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2011 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>34 ref.</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>11-0384310</s0>
</fA47>
<fA60>
<s1>P</s1>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Vaccine</s0>
</fA64>
<fA66 i1="01">
<s0>GBR</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>Background: Increasing our knowledge of past influenza pandemic patterns in different regions of the world is crucial to guide preparedness plans against future influenza pandemics. Here, we undertook extensive archival collection efforts from three representative cities of Peru-Lima in the central coast, Iquitos in the northeastern Amazon region, Ica in the southern coast-to characterize the temporal, age and geographic patterns of the 1918-1920 influenza pandemic in this country. Materials and methods: We analyzed historical documents describing the 1918-1920 influenza pandemic in Peru and retrieved individual mortality records from local provincial archives for quantitative analysis. We applied seasonal excess mortality models to daily and monthly respiratory mortality rates for 1917-1920 and quantified transmissibility estimates based on the daily growth rate in respiratory deaths. Results: A total of 52,739 individual mortality records were inspected from local provincial archives. We found evidence for an initial mild pandemic wave during July-September 1918 in Lima, identified a synchronized severe pandemic wave of respiratory mortality in all three locations during November 1918-February 1919, and a severe pandemic wave during January 1920-March 1920 in Lima and July-October 1920 in Ica. There was no recrudescent pandemic wave in 1920 in Iquitos. Remarkably, Lima experienced the brunt of the 1918-1920 excess mortality impact during the 1920 recrudescent wave, with all age groups experiencing an increase in all cause excess mortality from 1918-1919 to 1920. Middle age groups experienced the highest excess mortality impact, relative to baseline levels, in the 1918-1919 and 1920 pandemic waves. Cumulative excess mortality rates for the 1918-1920 pandemic period were higher in Iquitos (2.9%) than Lima (1.6%). The mean reproduction number for Lima was estimated in the range 1.3-1.5. Conclusions: We identified synchronized pandemic waves of intense excess respiratory mortality during November 1918-February 1919 in Lima, Iquitos, Ica, followed by asynchronous recrudescent waves in 1920. Cumulative data from quantitative studies of the 1918 influenza pandemic in Latin American settings have confirmed the high mortality impact associated with this pandemic. Further historical studies in lesser studied regions of Latin America, Africa, and Asia are warranted for a full understanding of the global impact of the 1918 pandemic virus.</s0>
</fC01>
<fC02 i1="01" i2="X">
<s0>002A05F04</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Pérou</s0>
<s2>NG</s2>
<s5>05</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Peru</s0>
<s2>NG</s2>
<s5>05</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Perú</s0>
<s2>NG</s2>
<s5>05</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Age</s0>
<s5>06</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG">
<s0>Age</s0>
<s5>06</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Edad</s0>
<s5>06</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Grippe</s0>
<s5>14</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Influenza</s0>
<s5>14</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA">
<s0>Gripe</s0>
<s5>14</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE">
<s0>Amérique du Sud</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG">
<s0>South America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA">
<s0>America del sur</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="FRE">
<s0>Amérique</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG">
<s0>America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA">
<s0>America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="X" l="FRE">
<s0>Zone tropicale</s0>
<s5>13</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG">
<s0>Tropical zone</s0>
<s5>13</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA">
<s0>Zona tropical</s0>
<s5>13</s5>
</fC07>
<fC07 i1="04" i2="X" l="FRE">
<s0>Virose</s0>
</fC07>
<fC07 i1="04" i2="X" l="ENG">
<s0>Viral disease</s0>
</fC07>
<fC07 i1="04" i2="X" l="SPA">
<s0>Virosis</s0>
</fC07>
<fC07 i1="05" i2="X" l="FRE">
<s0>Infection</s0>
</fC07>
<fC07 i1="05" i2="X" l="ENG">
<s0>Infection</s0>
</fC07>
<fC07 i1="05" i2="X" l="SPA">
<s0>Infección</s0>
</fC07>
<fN21>
<s1>262</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
<affiliations>
<list>
<country>
<li>Pérou</li>
<li>États-Unis</li>
</country>
<region>
<li>Arizona</li>
<li>District de Columbia</li>
<li>Maryland</li>
</region>
</list>
<tree>
<country name="États-Unis">
<region name="Arizona">
<name sortKey="Chowell, G" sort="Chowell, G" uniqKey="Chowell G" first="G." last="Chowell">G. Chowell</name>
</region>
<name sortKey="Chowell, G" sort="Chowell, G" uniqKey="Chowell G" first="G." last="Chowell">G. Chowell</name>
<name sortKey="Chowell, G" sort="Chowell, G" uniqKey="Chowell G" first="G." last="Chowell">G. Chowell</name>
<name sortKey="Miller, M A" sort="Miller, M A" uniqKey="Miller M" first="M. A." last="Miller">M. A. Miller</name>
<name sortKey="Simonsen, L" sort="Simonsen, L" uniqKey="Simonsen L" first="L." last="Simonsen">L. Simonsen</name>
<name sortKey="Simonsen, L" sort="Simonsen, L" uniqKey="Simonsen L" first="L." last="Simonsen">L. Simonsen</name>
<name sortKey="Viboud, C" sort="Viboud, C" uniqKey="Viboud C" first="C." last="Viboud">C. Viboud</name>
</country>
<country name="Pérou">
<noRegion>
<name sortKey="Hurtado, J" sort="Hurtado, J" uniqKey="Hurtado J" first="J." last="Hurtado">J. Hurtado</name>
</noRegion>
<name sortKey="Guzman, M A" sort="Guzman, M A" uniqKey="Guzman M" first="M. A." last="Guzman">M. A. Guzman</name>
<name sortKey="Munayco, C V" sort="Munayco, C V" uniqKey="Munayco C" first="C. V." last="Munayco">C. V. Munayco</name>
<name sortKey="Soto, G" sort="Soto, G" uniqKey="Soto G" first="G." last="Soto">G. Soto</name>
<name sortKey="Ulloa, M" sort="Ulloa, M" uniqKey="Ulloa M" first="M." last="Ulloa">M. Ulloa</name>
<name sortKey="Vargas, R" sort="Vargas, R" uniqKey="Vargas R" first="R." last="Vargas">R. Vargas</name>
</country>
</tree>
</affiliations>
</record>

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