Browsing by Author "Fasce, Rodrigo A."
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- Distribution of influenza virus types by age using case-based global surveillance data from twenty-nine countries, 1999-2014Publication . Caini, Saverio; Spreeuwenberg, Peter; Kusznierz, Gabriela F.; Rudi, Juan Manuel; Owen, Rhonda; Pennington, Kate; Wangchuk, Sonam; Gyeltshen, Sonam; Ferreira de Almeida, Walquiria Aparecida; Pessanha Henriques, Cláudio Maierovitch; Njouom, Richard; Vernet, Marie-Astrid; Fasce, Rodrigo A.; Andrade, Winston; Yu, Hongjie; Feng, Luzhao; Yang, Juan; Peng, Zhibin; Lara, Jenny; Bruno, Alfredo; de Mora, Doménica; de Lozano, Celina; Zambon, Maria; Pebody, Richard; Castillo, Leticia; Clara, Alexey W.; Matute, Maria Luisa; Kosasih, Herman; Nurhayati, null; Puzelli, Simona; Rizzo, Caterina; Kadjo, Herve A; Daouda, Coulibaly; Kiyanbekova, Lyazzat; Ospanova, Akerke; Mott, Joshua A.; Emukule, Gideon O.; Heraud, Jean-Michel; Razanajatovo, Norosoa Harline; Barakat, Amal; El Falaki, Fatima; Huang, Sue Q.; Lopez, Liza; Balmaseda, Angel; Moreno, Brechla; Rodrigues, Ana Paula; Guiomar, Raquel; Ang, Li Wei; Lee, Vernon Jian Ming; Venter, Marietjie; Cohen, Cheryl; Badur, Selim; Ciblak, Meral A.; Mironenko, Alla; Holubka, Olha; Bresee, Joseph; Brammer, Lynnette; Hoang, Phuong Vu Mai; Le, Mai Thi Quynh; Fleming, Douglas; Séblain, Clotilde El-Guerche; Schellevis, François; Paget, John; Global Influenza B Study groupBackground: Influenza 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). Methods: 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. Results: 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. Conclusions: These results highlight the importance of presenting burden of disease estimates by age group and virus (sub)type.
- The epidemiological signature of influenza B virus and its B/Victoria and B/Yamagata lineages in the 21st centuryPublication . Caini, Saverio; Kusznierz, Gabriela; Garate, Verònica Vera; Wangchuk, Sonam; Thapa, Binay; de Paula Júnior, Francisco José; Ferreira de Almeida, Walquiria Aparecida; Njouom, Richard; Fasce, Rodrigo A.; Bustos, Patricia; Feng, Luzhao; Peng, Zhibin; Araya, Jenny Lara; Bruno, Alfredo; de Mora, Doménica; Barahona de Gámez, Mónica Jeannette; Pebody, Richard; Zambon, Maria; Higueros, Rocio; Rivera, Rudevelinda; Kosasih, Herman; Castrucci, Maria Rita; Bella, Antonino; Kadjo, Hervé A.; Daouda, Coulibaly; Makusheva, Ainash; Bessonova, Olga; Chaves, Sandra S.; Emukule, Gideon O.; Heraud, Jean-Michel; Razanajatovo, Norosoa H.; Barakat, Amal; El Falaki, Fatima; Meijer, Adam; Donker, Gé A.; Huang, Q. Sue; Wood, Tim; Balmaseda, Angel; Palekar, Rakhee; Arévalo, Brechla Moreno; Rodrigues, Ana Paula; Guiomar, Raquel; Lee, Vernon Jian Ming; Ang, Li Wei; Cohen, Cheryl; Treurnicht, Florette; Mironenko, Alla; Holubka, Olha; Bresee, Joseph; Brammer, Lynnette; Le, Mai T.Q.; Hoang, Phuong V.M.; El Guerche-Séblain, Clotilde; Paget, John; Global Influenza B Study teamWe describe the epidemiological characteristics, pattern of circulation, and geographical distribution of influenza B viruses and its lineages using data from the Global Influenza B Study. We included over 1.8 million influenza cases occurred in thirty-one countries during 2000-2018. We calculated the proportion of cases caused by influenza B and its lineages; determined the timing of influenza A and B epidemics; compared the age distribution of B/Victoria and B/Yamagata cases; and evaluated the frequency of lineage-level mismatch for the trivalent vaccine. The median proportion of influenza cases caused by influenza B virus was 23.4%, with a tendency (borderline statistical significance, p = 0.060) to be higher in tropical vs. temperate countries. Influenza B was the dominant virus type in about one every seven seasons. In temperate countries, influenza B epidemics occurred on average three weeks later than influenza A epidemics; no consistent pattern emerged in the tropics. The two B lineages caused a comparable proportion of influenza B cases globally, however the B/Yamagata was more frequent in temperate countries, and the B/Victoria in the tropics (p = 0.048). B/Yamagata patients were significantly older than B/Victoria patients in almost all countries. A lineage-level vaccine mismatch was observed in over 40% of seasons in temperate countries and in 30% of seasons in the tropics. The type B virus caused a substantial proportion of influenza infections globally in the 21st century, and its two virus lineages differed in terms of age and geographical distribution of patients. These findings will help inform health policy decisions aiming to reduce disease burden associated with seasonal influenza.