Birth Cohort Effects in Influenza Surveillance Data: Evidence That First Influenza Infection Affects Later Influenza-Associated Illness.
J Infect Dis
; 220(5): 820-829, 2019 07 31.
Article
en En
| MEDLINE
| ID: mdl-31053844
BACKGROUND: The evolution of influenza A viruses results in birth cohorts that have different initial influenza virus exposures. Historically, A/H3 predominant seasons have been associated with more severe influenza-associated disease; however, since the 2009 pandemic, there are suggestions that some birth cohorts experience more severe illness in A/H1 predominant seasons. METHODS: United States influenza virologic, hospitalization, and mortality surveillance data during 2000-2017 were analyzed for cohorts born between 1918 and 1989 that likely had different initial influenza virus exposures based on viruses circulating during early childhood. Relative risk/rate during H3 compared with H1 predominant seasons during prepandemic versus pandemic and later periods were calculated for each cohort. RESULTS: During the prepandemic period, all cohorts had more influenza-associated disease during H3 predominant seasons than H1 predominant seasons. During the pandemic and later period, 4 cohorts had higher hospitalization and mortality rates during H1 predominant seasons than H3 predominant seasons. CONCLUSIONS: Birth cohort differences in risk of influenza-associated disease by influenza A virus subtype can be seen in US influenza surveillance data and differ between prepandemic and pandemic and later periods. As the population ages, the amount of influenza-associated disease may be greater in future H1 predominant seasons than H3 predominant seasons.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Virus de la Influenza A
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Parto
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Gripe Humana
Tipo de estudio:
Etiology_studies
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Prognostic_studies
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Risk_factors_studies
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Screening_studies
Límite:
Humans
País/Región como asunto:
America do norte
Idioma:
En
Revista:
J Infect Dis
Año:
2019
Tipo del documento:
Article
País de afiliación:
Georgia