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      Epidemiological and virological characteristics of influenza B: results of the Global Influenza B Study

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          Abstract

          Introduction Literature on influenza focuses on influenza A, despite influenza B having a large public health impact. The Global Influenza B Study aims to collect information on global epidemiology and burden of disease of influenza B since 2000. Methods Twenty-six countries in the Southern (n = 5) and Northern (n = 7) hemispheres and intertropical belt (n = 14) provided virological and epidemiological data. We calculated the proportion of influenza cases due to type B and Victoria and Yamagata lineages in each country and season; tested the correlation between proportion of influenza B and maximum weekly influenza-like illness (ILI) rate during the same season; determined the frequency of vaccine mismatches; and described the age distribution of cases by virus type. Results The database included 935 673 influenza cases (2000–2013). Overall median proportion of influenza B was 22·6%, with no statistically significant differences across seasons. During seasons where influenza B was dominant or co-circulated (>20% of total detections), Victoria and Yamagata lineages predominated during 64% and 36% of seasons, respectively, and a vaccine mismatch was observed in ≈25% of seasons. Proportion of influenza B was inversely correlated with maximum ILI rate in the same season in the Northern and (with borderline significance) Southern hemispheres. Patients infected with influenza B were usually younger (5–17 years) than patients infected with influenza A. Conclusion Influenza B is a common disease with some epidemiological differences from influenza A. This should be considered when optimizing control/prevention strategies in different regions and reducing the global burden of disease due to influenza.

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          Most cited references17

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          Latitudinal Variations in Seasonal Activity of Influenza and Respiratory Syncytial Virus (RSV): A Global Comparative Review

          Background There is limited information on influenza and respiratory syncytial virus (RSV) seasonal patterns in tropical areas, although there is renewed interest in understanding the seasonal drivers of respiratory viruses. Methods We review geographic variations in seasonality of laboratory-confirmed influenza and RSV epidemics in 137 global locations based on literature review and electronic sources. We assessed peak timing and epidemic duration and explored their association with geography and study settings. We fitted time series model to weekly national data available from the WHO influenza surveillance system (FluNet) to further characterize seasonal parameters. Results Influenza and RSV activity consistently peaked during winter months in temperate locales, while there was greater diversity in the tropics. Several temperate locations experienced semi-annual influenza activity with peaks occurring in winter and summer. Semi-annual activity was relatively common in tropical areas of Southeast Asia for both viruses. Biennial cycles of RSV activity were identified in Northern Europe. Both viruses exhibited weak latitudinal gradients in the timing of epidemics by hemisphere, with peak timing occurring later in the calendar year with increasing latitude (P<0.03). Time series model applied to influenza data from 85 countries confirmed the presence of latitudinal gradients in timing, duration, seasonal amplitude, and between-year variability of epidemics. Overall, 80% of tropical locations experienced distinct RSV seasons lasting 6 months or less, while the percentage was 50% for influenza. Conclusion Our review combining literature and electronic data sources suggests that a large fraction of tropical locations experience focused seasons of respiratory virus activity in individual years. Information on seasonal patterns remains limited in large undersampled regions, included Africa and Central America. Future studies should attempt to link the observed latitudinal gradients in seasonality of viral epidemics with climatic and population factors, and explore regional differences in disease transmission dynamics and attack rates.
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            The burden of influenza B: a structured literature review.

            We reviewed the epidemiology, clinical characteristics, disease severity, and economic burden of influenza B as reported in the peer-reviewed published literature. We used MEDLINE to perform a systematic literature review of peer-reviewed, English-language literature published between 1995 and 2010. Widely variable frequency data were reported. Clinical presentation of influenza B was similar to that of influenza A, although we observed conflicting reports. Influenza B-specific data on hospitalization rates, length of stay, and economic outcomes were limited but demonstrated that the burden of influenza B can be significant. The medical literature demonstrates that influenza B can pose a significant burden to the global population. The comprehensiveness and quality of reporting on influenza B, however, could be substantially improved. Few articles described complications. Additional data regarding the incidence, clinical burden, and economic impact of influenza B would augment our understanding of the disease and assist in vaccine development.
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              Seasonality, timing, and climate drivers of influenza activity worldwide.

              Although influenza is a vaccine-preventable disease that annually causes substantial disease burden, data on virus activity in tropical countries are limited. We analyzed publicly available influenza data to better understand the global circulation of influenza viruses. We reviewed open-source, laboratory-confirmed influenza surveillance data. For each country, we abstracted data on the percentage of samples testing positive for influenza each epidemiologic week from the annual number of samples testing positive for influenza. The start of influenza season was defined as the first week when the proportion of samples that tested positive remained above the annual mean. We assessed the relationship between percentage of samples testing positive and mean monthly temperature with use of regression models. We identified data on laboratory-confirmed influenza virus infection from 85 countries. More than one influenza epidemic period per year was more common in tropical countries (41%) than in temperate countries (15%). Year-round activity (ie, influenza virus identified each week having ≥ 10 specimens submitted) occurred in 3 (7%) of 43 temperate, 1 (17%) of 6 subtropical, and 11 (37%) of 30 tropical countries with available data (P = .006). Percentage positivity was associated with low temperature (P = .001). Annual influenza epidemics occur in consistent temporal patterns depending on climate.
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                Author and article information

                Journal
                Influenza and Other Respiratory Viruses
                Influenza Other Respi Viruses
                Wiley
                17502640
                August 2015
                August 2015
                August 10 2015
                : 9
                : 3-12
                Affiliations
                [1 ]Netherlands Institute for Health Services Research (NIVEL); Utrecht The Netherlands
                [2 ]Institute of Environmental Science and Research; Wellington New Zealand
                [3 ]Istanbul University; Istanbul Turkey
                [4 ]Instituto Nacional de Enfermedades Respiratorias Dr. Emilio Coni; Santa Fe Argentina
                [5 ]Department of Health and Ageing; Influenza Surveillance Section; Surveillance Branch; Office of Health Protection; Woden ACT Australia
                [6 ]Public Health Laboratory; Department of Public Health; Ministry of Health; Thimphu Bhutan
                [7 ]Ministry of Health; Brasília DF Brazil
                [8 ]Service de Virologie; Centre Pasteur du Cameroun; Yaounde Cameroon
                [9 ]Sección de Virus Respiratorios y Exantemáticos; Instituto de Salud Pública de Chile; Santiago de Chile Chile
                [10 ]Division of Infectious Disease; Key Laboratory of Surveillance and Early-warning on Infectious Disease; Chinese Center for Disease Control and Prevention; Beijing China
                [11 ]Respiratory Virus Unit; Public Health England; Colindale UK
                [12 ]US Centers for Disease Control; Central American Region; Guatemala City Guatemala
                [13 ]US Naval Medical Research Unit No. 2; Jakarta Indonesia
                [14 ]National Influenza Center; Istituto Superiore Sanità; Rome Italy
                [15 ]Respiratory Viruses Unit; Pasteur Institute of Côte d'Ivoire; Abidjan Côte d'Ivoire
                [16 ]US Centers for Disease Control and Prevention; Nairobi Kenya
                [17 ]National Influenza Center; Virology Unit; Institut Pasteur of Madagascar; Antananarivo Madagascar
                [18 ]Epidemiology and Disease Control Division; Ministry of Health; Singapore Singapore
                [19 ]Global Disease Detection; US-CDC; Pretoria South Africa
                [20 ]Zoonoses Research Unit; Department of Medical Virology; University of Pretoria; Pretoria South Africa
                [21 ]L.V.Gromashevsky Institute of Epidemiology and Infectious Diseases National Academy of Medical Science of Ukraine; Kiev Ukraine
                [22 ]Epidemiology and Prevention Branch; Influenza Division; Centers for Disease Control and Prevention; Atlanta GA USA
                [23 ]National Institute of Hygiene and Epidemiology; Hanoi Vietnam
                [24 ]University of Pennsylvania; Philadelphia PA USA
                Article
                10.1111/irv.12319
                7fc93ef1-7e60-4be5-9e05-d42e22393252
                © 2015

                http://doi.wiley.com/10.1002/tdm_license_1.1

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