Produção Nacional
Revisado por pares
Distribution of influenza virus types by age using case-based global surveillance data from twenty-nine countries, 1999-2014
2018; BioMed Central; Volume: 18; Issue: 1 Linguagem: Inglês
10.1186/s12879-018-3181-y
ISSN1471-2334
AutoresSaverio Caini, Peter Spreeuwenberg, Gabriela Kusznierz, Juan Manuel Rudi, Rhonda Owen, Kate Pennington, Sonam Wangchuk, Sonam Gyeltshen, Walquíria Aparecida Ferreira de Almeida, Cláudio Maierovitch Pessanha Henriques, Richard Njouom, Guy Vernet, Rodrigo Fasce, Winston Andrade, Hongjie Yu, Shuo Feng, Juan Yang, Zhibin Peng, Jenny Lara, Alfredo Bruno, Doménica de Mora, Celina de Lozano, Maria Zambon, Richard Pebody, Leticia Castillo, Alexey Clara, María Luisa Matute, Herman Kosasih, Nurhayati Nurhayati, Simona Puzelli, Caterina Rizzo, Hervé Kadjo, Daouda Coulibaly, Lyazzat Kiyanbekova, Akerke Ospanova, Joshua A. Mott, Gideon O. Emukule, Jean‐Michel Héraud, Norosoa Harline Razanajatovo, Amal Barakat, Fatima El Falaki, Q. Sue Huang, Liza Lopez, Ángel Balmaseda, Brechla Moreno, Ana Paula Rodrigues, Raquel Guiomar, Li Wei Ang, Vernon Jian Ming Lee, Marietjie Venter, Cheryl Cohen, Selim Badur, Meral A. Cıblak, Alla Mironenko, Olha Holubka, Joseph Bresee, Lynnette Brammer, Phuong Vu Mai Hoang, Mai thi Quynh Le, Douglas Fleming, Clotilde El‐Guerche Séblain, François Schellevis, John Paget,
Tópico(s)Respiratory viral infections research
ResumoInfluenza disease burden varies by age and this has important public health implications. We compared the proportional distribution of different influenza virus types within age strata using surveillance data from twenty-nine countries during 1999-2014 (N=358,796 influenza cases). For each virus, we calculated a Relative Illness Ratio (defined as the ratio of the percentage of cases in an age group to the percentage of the country population in the same age group) for young children (0-4 years), older children (5-17 years), young adults (18-39 years), older adults (40-64 years), and the elderly (65+ years). We used random-effects meta-analysis models to obtain summary relative illness ratios (sRIRs), and conducted meta-regression and sub-group analyses to explore causes of between-estimates heterogeneity. The influenza virus with highest sRIR was A(H1N1) for young children, B for older children, A(H1N1)pdm2009 for adults, and (A(H3N2) for the elderly. As expected, considering the diverse nature of the national surveillance datasets included in our analysis, between-estimates heterogeneity was high (I2>90%) for most sRIRs. The variations of countries' geographic, demographic and economic characteristics and the proportion of outpatients among reported influenza cases explained only part of the heterogeneity, suggesting that multiple factors were at play. These results highlight the importance of presenting burden of disease estimates by age group and virus (sub)type.
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