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1. Laboratorios híbridos en ciencias experimentales: una estrategia metodológica para la inclusión educativa en la escuela secundaria

Author

Juan Manuel Rudi, María Silvina Reyes, Daniel Larpin, and Paula Inés Gatti

Subjects
tecnologías de la información y la comunicación, inclusión educativa, extensión universitaria, Special aspects of education, LC8-6691
Abstract

La experiencia narrada en este artículo intenta contribuir a una mayor inclusión educativa en instituciones de la ciudad de Santa Fe mediante la utilización de las Tecnologías de la Información y la Comunicación como herramientas útiles para el aprendizaje significativo de contenidos estructurantes de ciencias naturales en el nivel medio. Se trabaja junto al personal docente de instituciones socias del proyecto, que no disponen de materiales de laboratorio ni de una infraestructura edilicia adecuada, en el desarrollo de actividades experimentales simples mediadas por tecnologías digitales, que contribuyan a la enseñanza de temáticas relacionadas con la Química propuestas en el diseño curricular provincial. El trabajo sinérgico del equipo extensionista y del profesorado socio del proyecto facilitó la implementación de estrategias didácticas relevantes en contextos signados por la falta de recursos y en donde resulta dificultoso garantizar una educación de calidad para los y las estudiantes de sectores vulnerables.

Published
2024
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2. DESARROLLO DE DISPOSITIVOS DIDÁCTICOS COMO ESTRATEGIA PARA LA ENSEÑANZA DE LAS CIENCIAS NATURALES EN EL NIVEL INICIAL

Author

María Silvina Reyes Gagneten and Juan Manuel Rudi

Subjects
Dispositivos didácticos, Ciencias Naturales, Nivel Inicial, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

La enseñanza de las Ciencias Naturales en el Nivel Inicial es un tema complejo y existe un desinterés notorio por abordar sus contenidos en las aulas, como así tampoco se promueve una capacitación adecuada en ciencias del profesorado de este nivel. El objetivo principal de este trabajo fue diseñar y desarrollar dispositivos didácticos que contribuyan, de manera interdisciplinaria, a la enseñanza de contenidos estructurantes de Ciencias Naturales en las primeras infancias, recurriendo al enfoque STEAM y a la Investigación Basada en el Diseño para la evaluación de los materiales. Un dispositivo para estudiar el proceso de germinación, las partes de una planta y los tropismos; un tablero de damas utilizado para la enseñanza de taxismos; y un extracto de curcuminas que cambia de color cuando reacciona con soluciones de características químicas diferentes, son algunos ejemplos de los materiales diseñados, y que fueron distribuidos en jardines de infantes de la ciudad de Santa Fe, Argentina. El personal docente que ha hecho uso de estos dispositivos valoró positivamente los mismos y destacó la potencialidad de la propuesta.

Published
2023

3. Desarrollo y validación de una aplicación tecnológica para la enseñanza de la nomenclatura orgánica desde una perspectiva CTS

Author

Juan Manuel Rudi, María Silvina Reyes, Faustino Gagneten, and Silvia Porro

Subjects
aprendizaje móvil, nomenclatura de compuestos orgánicos, tecnologías de la información y la comunicación, Education (General), L7-991, Theory and practice of education, LB5-3640, Special aspects of education, LC8-6691, History of education, LA5-2396
Abstract

Muchas investigaciones coinciden en afirmar que la enseñanza de la Química en los diferentes ámbitos educativos no logra despertar el interés esperado en el alumnado. Esta situación puede deberse a la existencia de currículos disciplinares alejados de la realidad de la sociedad actual y a la utilización de metodologías de enseñanza tradicionales. En los últimos años, las Tecnologías de la Información y la Comunicación están siendo muy utilizadas para la elaboración de materiales didácticos, y son numerosos los estudios que coinciden en demostrar cómo las mismas facilitan los procesos de enseñanza y de aprendizaje en sus diferentes etapas. Como un ejemplo del aporte de la tecnología a la educación CTS en determinados contextos sociales, el presente trabajo explica el desarrollo de una aplicación informática que aborda el tema de la nomenclatura de los compuestos orgánicos y que está destinada a estudiantes de Educación Media y Superior que cursen Química Orgánica. Dicha aplicación, que ha sido validada mediante la opinión de personas expertas en la temática, puede instalarse en cualquier teléfono celular con sistema operativo Android y contiene conceptos teóricos, ejercicios prácticos resueltos y autoevaluaciones para que puedan ser utilizadas por el estudiantado que cursa dicha asignatura en el momento en que lo considere necesario.

Published
2020
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4. Distribution of influenza virus types by age using case-based global surveillance data from twenty-nine countries, 1999-2014

Author

Saverio Caini, Peter Spreeuwenberg, Gabriela F. Kusznierz, Juan Manuel Rudi, Rhonda Owen, Kate Pennington, Sonam Wangchuk, Sonam Gyeltshen, Walquiria Aparecida Ferreira de Almeida, Cláudio Maierovitch Pessanha Henriques, Richard Njouom, Marie-Astrid Vernet, Rodrigo A. Fasce, Winston Andrade, Hongjie Yu, Luzhao Feng, Juan Yang, Zhibin Peng, Jenny Lara, Alfredo Bruno, Doménica de Mora, Celina de Lozano, Maria Zambon, Richard Pebody, Leticia Castillo, Alexey W. Clara, Maria Luisa Matute, Herman Kosasih, Nurhayati, Simona Puzelli, Caterina Rizzo, Herve A. Kadjo, Coulibaly Daouda, Lyazzat Kiyanbekova, Akerke Ospanova, Joshua A. Mott, Gideon O. Emukule, Jean-Michel Heraud, Norosoa Harline Razanajatovo, Amal Barakat, Fatima el Falaki, Sue Q. Huang, Liza Lopez, Angel Balmaseda, Brechla Moreno, Ana Paula Rodrigues, Raquel Guiomar, Li Wei Ang, Vernon Jian Ming Lee, Marietjie Venter, Cheryl Cohen, Selim Badur, Meral A. Ciblak, 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, and Global Influenza B Study group

Subjects
Influenza, Age distribution, Influenza A virus, H3N2 subtype, H1N1 subtype, Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background 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.

Published
2018
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5. Characteristics of seasonal influenza A and B in Latin America: Influenza surveillance data from ten countries.

Author

Saverio Caini, Wladimir J Alonso, Angel Balmaseda, Alfredo Bruno, Patricia Bustos, Leticia Castillo, Celina de Lozano, Doménica de Mora, Rodrigo A Fasce, Walquiria Aparecida Ferreira de Almeida, Gabriela F Kusznierz, Jenny Lara, Maria Luisa Matute, Brechla Moreno, Claudio Maierovitch Pessanha Henriques, Juan Manuel Rudi, Clotilde El-Guerche Séblain, François Schellevis, John Paget, and Global Influenza B Study group–Latin America

Subjects
Medicine, Science
Abstract

INTRODUCTION:The increased availability of influenza surveillance data in recent years justifies an actual and more complete overview of influenza epidemiology in Latin America. We compared the influenza surveillance systems and assessed the epidemiology of influenza A and B, including the spatio-temporal patterns of influenza epidemics, in ten countries and sub-national regions in Latin America. METHODS:We aggregated the data by year and country and characteristics of eighty-two years were analysed. We calculated the median proportion of laboratory-confirmed influenza cases caused by each virus strain, and compared the timing and amplitude of the primary and secondary peaks between countries. RESULTS:37,087 influenza cases were reported during 2004-2012. Influenza A and B accounted for a median of 79% and, respectively, 21% of cases in a year. The percentage of influenza A cases that were subtyped was 82.5%; for influenza B, 15.6% of cases were characterized. Influenza A and B were dominant in seventy-five (91%) and seven (9%) years, respectively. In half (51%) of the influenza A years, influenza A(H3N2) was dominant, followed by influenza A(H1N1)pdm2009 (41%) and pre-pandemic A(H1N1) (8%). The primary peak of influenza activity was in June-September in temperate climate countries, with little or no secondary peak. Tropical climate countries had smaller primary peaks taking place in different months and frequently detectable secondary peaks. CONCLUSIONS:We found that good influenza surveillance data exists in Latin America, although improvements can still be made (e.g. a better characterization of influenza B specimens); that influenza B plays a considerable role in the seasonal influenza burden; and that there is substantial heterogeneity of spatio-temporal patterns of influenza epidemics. To improve the effectiveness of influenza control measures in Latin America, tropical climate countries may need to develop innovative prevention strategies specifically tailored to the spatio-temporal patterns of influenza in this region.

Published
2017
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6. Temporal Patterns of Influenza A and B in Tropical and Temperate Countries: What Are the Lessons for Influenza Vaccination?

Author

Saverio Caini, Winston Andrade, Selim Badur, Angel Balmaseda, Amal Barakat, Antonino Bella, Abderrahman Bimohuen, Lynnette Brammer, Joseph Bresee, Alfredo Bruno, Leticia Castillo, Meral A Ciblak, Alexey W Clara, Cheryl Cohen, Jeffery Cutter, Coulibaly Daouda, Celina de Lozano, Domenica De Mora, Kunzang Dorji, Gideon O Emukule, Rodrigo A Fasce, Luzhao Feng, Walquiria Aparecida Ferreira de Almeida, Raquel Guiomar, Jean-Michel Heraud, Olha Holubka, Q Sue Huang, Herve A Kadjo, Lyazzat Kiyanbekova, Herman Kosasih, Gabriela Kusznierz, Jenny Lara, Ming Li, Liza Lopez, Phuong Vu Mai Hoang, Cláudio Maierovitch Pessanha Henriques, Maria Luisa Matute, Alla Mironenko, Brechla Moreno, Joshua A Mott, Richard Njouom, Nurhayati, Akerke Ospanova, Rhonda Owen, Richard Pebody, Kate Pennington, Simona Puzelli, Mai Thi Quynh Le, Norosoa Harline Razanajatovo, Ana Rodrigues, Juan Manuel Rudi, Raymond Tzer Pin Lin, Marietjie Venter, Marie-Astrid Vernet, Sonam Wangchuk, Juan Yang, Hongjie Yu, Maria Zambon, François Schellevis, John Paget, and Global Influenza B Study

Subjects
Medicine, Science
Abstract

INTRODUCTION:Determining the optimal time to vaccinate is important for influenza vaccination programmes. Here, we assessed the temporal characteristics of influenza epidemics in the Northern and Southern hemispheres and in the tropics, and discuss their implications for vaccination programmes. METHODS:This was a retrospective analysis of surveillance data between 2000 and 2014 from the Global Influenza B Study database. The seasonal peak of influenza was defined as the week with the most reported cases (overall, A, and B) in the season. The duration of seasonal activity was assessed using the maximum proportion of influenza cases during three consecutive months and the minimum number of months with ≥80% of cases in the season. We also assessed whether co-circulation of A and B virus types affected the duration of influenza epidemics. RESULTS:212 influenza seasons and 571,907 cases were included from 30 countries. In tropical countries, the seasonal influenza activity lasted longer and the peaks of influenza A and B coincided less frequently than in temperate countries. Temporal characteristics of influenza epidemics were heterogeneous in the tropics, with distinct seasonal epidemics observed only in some countries. Seasons with co-circulation of influenza A and B were longer than influenza A seasons, especially in the tropics. DISCUSSION:Our findings show that influenza seasonality is less well defined in the tropics than in temperate regions. This has important implications for vaccination programmes in these countries. High-quality influenza surveillance systems are needed in the tropics to enable decisions about when to vaccinate.

Published
2016
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7. Parotiditis e influenza: inusual asociación durante 2017, en Santa Fe, Argentina

Author

Freyre Cecilia, Carolina Cudós, Judith Pierini, Juan Carlos Beltramino, Cecilia Cantero, Patricia Schoult, Natalia Sioli, Juan Manuel Rudi, Adriana Cesoni, Carlos Pastor, José D`Jorge, Gabriela Kusznierz, Elsa Baumesteir, Gerardo Pigliacampo, Gonzalo Vidal, Andrea Uboldi, Raquel Cociglio, and Verónica Vera Garate

Subjects
education.field_of_study, medicine.medical_specialty, Pediatrics, Acute viral disease, business.industry, Population, Public Health, Environmental and Occupational Health, virus diseases, Influenza a, medicine.disease, Virus, Infectious Diseases, Epidemiology, Medicine, Differential diagnosis, Young adult, influenza, education, business, Parotiditis, diagnóstico diferencial, Parotitis
Abstract

Resumen Introducción: La parotiditis es una enfermedad vírica aguda caracterizada por tumefacción y dolor en una o ambas glándulas salivales, submaxilar o submentoniana, fiebre, dolor de cabeza, dolor muscular y/o fatiga. Objetivos Investigar la ocurrencia de infección por el virus influenza en casos de parotiditis en una población de Santa Fe, durante 2017 y analizar las características clínicas y epidemiológicas de los casos. Materiales y Métodos: Se estudiaron pacientes con diagnóstico de parotiditis, que acudieron a la consulta desde la semana 26 en la red de médicos que forman la Unidad Centinela de Influenza en Santa Fe. Resultados: Entre las semanas epidemiológicas 26 y 44, se incluyeron 22 casos de parotiditis clínica. El virus influenza se detectó en 68,2%, influenza A (H3N2) 93% e influenza B 7%. Los síntomas clínicos de los casos fueron leves, con una tumefacción de cinco días y sin complicaciones. El 74% presentó una enfermedad tipo influenza en conjunto con la parotiditis. Conclusiones: Este estudio evidencia que niños que presentaban parotiditis tenían una infección por el virus de la influenza A (H3N2). Es necesario implementar una vigilancia sistemática de las parotiditis asociadas con influenza y el diagnóstico diferencial, incluso en ausencia de síntomas respiratorios.

Published
2019

8. Distribution of influenza virus types by age using case-based global surveillance data from twenty-nine countries, 1999-2014

Author

François G. Schellevis, Raquel Guiomar, Zhibin Peng, Phuong Vu Mai Hoang, Brechla Moreno, Juan Yang, Cheryl Cohen, Lynnette Brammer, Jenny Lara, Hongjie Yu, Mai thi Quynh Le, Joshua A. Mott, Rodrigo Fasce, Gabriela Kusznierz, Simona Puzelli, Doménica de Mora, Leticia Castillo, Selim Badur, Akerke Ospanova, Vernon J. Lee, Liza Lopez, Richard Njouom, Douglas M. Fleming, Coulibaly Daouda, Nurhayati, Juan Manuel Rudi, Clotilde El-Guerche Séblain, Li Wei Ang, Joseph S. Bresee, Celina de Lozano, Sonam Gyeltshen, Maria Zambon, Maria Luisa Matute, Norosoa Harline Razanajatovo, Saverio Caini, Amal Barakat, Marie-Astrid Vernet, Alla Mironenko, Angel Balmaseda, Alexey Clara, Walquiria Aparecida Ferreira de Almeida, Richard Pebody, Herman Kosasih, Cláudio Maierovitch Pessanha Henriques, Marietjie Venter, Caterina Rizzo, Meral Akcay Ciblak, Olha Holubka, Gideon O. Emukule, Fatima el Falaki, Winston Andrade, Herve A. Kadjo, Alfredo Bruno, Kate Pennington, Lyazzat Kiyanbekova, Ana Paula Rodrigues, Rhonda Owen, John Paget, Peter Spreeuwenberg, Sue Q. Huang, Jean-Michel Heraud, Sonam Wangchuk, Luzhao Feng, Netherlands Institute for Health Services Research, Instituto Nacional de Enfermedades Respiratorias 'Dr. Emilio Coni', Department of Health and Ageing, Influenza Surveillance Section, Surveillance Branch, Office of Health Protection (DHAISS), Department of Health and Ageing, Influenza Surveillance Section, Surveillance Branch, Office of Health Protection, Woden, ACT, Australia, Office of Health Protection, Woden, ACT, Australia (DHAISS), Ministry of Health [Bhoutan], Ministry of Health [Brasília, Brazil], Centre Pasteur du Cameroun, Réseau International des Instituts Pasteur (RIIP), Instituto de Salud Pública de Chile (ISP), Chinese Centre for Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Ministry of Health [Costa Rica], Instituto Nacional de Investigación en Salud Pública [Guayaquil, Ecuador] (INSPI), Ministerio de Salud de El Salvador (MINSAL), Public Health England [London], Ministerio de Salud Publica y Asistencia Social [Guatemala] (MSPAS), US Centers for Disease Control, Ministry of Health [Honduras] (SESAL), US Naval Medical Research Unit n°2, Istituto Superiore di Sanita [Rome], Institut Pasteur de Côte d'Ivoire, Institut National d'Hygiène Publique [Côte d'Ivoire] (INHP), Astana Center of Sanitary Epidemiology Expertise, Centers for Disease Control and Prevention [Kenya], U.S. Public Health Service (USPHS), Unité de Virologie [Antananarivo, Madagascar] (IPM), Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Ministry of Health [Morocco], Institute of Environmental Science and Research (ESR), Ministry of Health [Nicaragua] (MINSA), National Influenza Center, Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), Ministry of Health [Singapore], Centers for Disease Control and Prevention, University of Pretoria [South Africa], University of the Witwatersrand [Johannesburg] (WITS), National Institute for Communicable Diseases [Johannesburg] (NICD), Istanbul University, National Academy of Medical Sciences of Ukraine, Centers for Disease Control and Prevention [Atlanta] (CDC), National Institute of Hygiene and Epidemiology [Hanoi, Vietnam] (NIHE), Chercheur indépendant, Sanofi Pasteur [Lyon, France], VU University Medical Center [Amsterdam], The Global Influenza B Study is funded by an unrestricted research grant from Sanofi Pasteur., The Global Influenza B Study group also includes the following members: Binay Thapa 4, Sangay Zangmo 4, Guy Vernet 6, Patricia Bustos 7, Patricio Loyola 7, Joanna Ellis 12, Antonino Bella 19, Maria Rita Castrucci 18, Gulzhan Muratbayeva 45, Julia Guillebaud 26, Laurence Randrianasolo 46, Ausenda Machado 47, Pedro Pechirra 32, Jeffery Cutter 34, Raymond Tzer Pin Lin 34. 45 Centers for Disease Control and Prevention, Central Asia Regional Office, Almaty, Kazakhstan 46 Epidemiology Unit, Institut Pasteur of Madagascar, Antananarivo, Madagascar 47 National Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal, APH - Quality of Care, APH - Aging & Later Life, and General practice

Subjects
0301 basic medicine, Male, Databases, Factual, Distribution (economics), CHILDREN, Global Health, 0302 clinical medicine, Influenza A Virus, H1N1 Subtype, 1108 Medical Microbiology, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Influenza A Virus, H3N2 subtype, 030212 general & internal medicine, Young adult, Child, POPULATION, education.field_of_study, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Age Factors, Middle Aged, 3. Good health, Global Influenza B Study group, Infectious Diseases, INFECTIONS, Influenza A virus, Child, Preschool, H3N2 Subtype, [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Female, BURDEN, Life Sciences & Biomedicine, Age distribution, 0605 Microbiology, Adult, medicine.medical_specialty, Surveillance data, Adolescent, Population, UNITED-STATES, Microbiology, Virus, lcsh:Infectious and parasitic diseases, 03 medical and health sciences, Young Adult, Age Distribution, Influenza, Human, medicine, Humans, H1N1 Subtype, COHORT, lcsh:RC109-216, education, Disease burden, METAANALYSIS, Aged, Science & Technology, business.industry, Public health, Influenza A Virus, H3N2 Subtype, Infant, Newborn, Infant, 1103 Clinical Sciences, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Estados de Saúde e de Doença, Influenza B Virus, Influenza, Influenza B virus, Meta-analysis, 030104 developmental biology, H1N1 subtype, Virus type, RISK-FACTORS, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Demography
Abstract

The database of the Global Influenza B Study was created by collecting surveillance datasets from each of the participating countries. These national datasets are owned by the participating countries, and thus cannot be shared publicly. Researchers interested in obtaining the country-specific datasets may contact the individuals listed below for further details regarding data access.Argentina (Santa Fe Province): Gabriela Kusznierz (labconi@yahoo.com.ar)Australia: Kate Pennington (kate.pennington@health.gov.au)Bhutan: Sonam Wangchuk (swangchuk@health.gov.bt)Brazil: Cláudio Maierovitch Pessanha Henriques (claudio.henriques@saude.gov.br)Cameroon: Guy Vernet (vernet@pasteur-yaounde.org)Chile: Rodrigo Fasce (rfasce@ispch.cl)China: Feng Luzhao (fenglz@chinacdc.cn)Costa Rica: Alexey W. Clara (wclara@cdc.gov)Ecuador: Alfredo Bruno (alfredobruno@yahoo.es)El Salvador: Alexey W. Clara (wclara@cdc.gov)England: Maria Zambon (maria.zambon@phe.gov.uk)Guatemala: Alexey W. Clara (wclara@cdc.gov)Honduras: Alexey W. Clara (wclara@cdc.gov)Indonesia: Herman Kosasih (hermaninarespond@gmail.com)Italy: Caterina Rizzo (caterina.rizzo@iss.it)Ivory Coast: Herve A. Kadjo (hervekadjo@pasteur.ci)Kazakhstan: Gulzhan Muratbayeva (hnv2@cdc.gov)Kenya: Joshua Mott (zud9@cdc.gov)Madagascar: Jean-Michel Heraud (jmheraud@pasteur.mg)Morocco: Amal Barakat (amal.barakat@yahoo.fr)New Zealand: Sue Huang (sue.huang@esr.cri.nz)Nicaragua: Alexey W. Clara (wclara@cdc.gov)Panama: Alexey W. Clara (wclara@cdc.gov)Portugal: Ana Paula Rodrigues (ana.rodrigues@insa.min-saude.pt)Singapore: Vernon Lee (vernonljm@hotmail.com)South Africa: Cheryl Cohen (cherylc@nicd.ac.za)Turkey: Meral Akcay Ciblak (ciblakm@yahoo.com)Ukraine: Alla Mironenko (miralla@ukr.net)Viet Nam: Le Thi Quinh Mai (lom9@hotmail.com); International audience; BACKGROUND: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.

Published
2018

9. Activity-Structure Study on the Peptide Fraction of AG2: a Potent In Vitro Transfection Agent

Author

Claudio Prieto, Antonella Giorello, Sebastián Antuña, Diana María Müller, Lucía Daniela Grippo, María Mercedes de Zan, Juan Manuel Rudi, and Carolina Veaute

Subjects
0106 biological sciences, Stereochemistry, Lysine, Bioengineering, Peptide, CHO Cells, Transfection, 01 natural sciences, Applied Microbiology and Biotechnology, Biochemistry, Palmitic acid, TRANSFECTION, Ciencias Biológicas, chemistry.chemical_compound, N-ACYLATED, GEMINI, Cricetulus, 010608 biotechnology, Animals, Humans, Molecular Biology, Micelles, chemistry.chemical_classification, 010405 organic chemistry, food and beverages, General Medicine, Ornithine, Bioquímica y Biología Molecular, ORNITHINE, 0104 chemical sciences, Amino acid, HEK293 Cells, chemistry, Critical micelle concentration, CYSTEINE, lipids (amino acids, peptides, and proteins), Peptides, AMPHIPHILE, CIENCIAS NATURALES Y EXACTAS, Biotechnology, Cysteine
Abstract

Gemini-based amphiphiles are candidates for biomedical applications. In fact, most of thegemini compounds described in the literature have been prepared to be used as new syntheticvectors in gene transfection. Our group carried out an activity-structure study starting from thestructure of the gemini [AG2-C18/]2, which is an effective in vitro transfection reagent. Wesynthesized a series of novel amphiphilic amino acid derivatives of low molecular weight,named AGn-Cm(N), in which the same apolar region (m) of oleic or palmitic acid wasmaintained and the peptide region was modified by amino acid insertions, deletions, andsubstitutions. We also determined the transfection efficiency, critical micelle concentration,particle size, and ζ-potential for these derivatives. Amphiphiles AG10-C16and AG 10-C18weremore active at a lower N/P ratio than AG2-C18. These amphiphiles showed no activity whenlysine was replaced by ornithine, and the activity of all derivatives increased when there weremore ornithine residues and a W/O = 1 ratio in the peptide region. It can be said that for AG10-C16, these two structural requirements on the amino acid portion predominated over the type ofaliphatic chain used. Fil: Grippo, Lucía Daniela. Laboratorio de Química Aplicada; Argentina Fil: Rudi, Juan Manuel. Laboratorio de Química Aplicada; Argentina Fil: de Zan, María Mercedes. Laboratorio de Control de Medicamentos; Argentina Fil: Giorello, Antonella. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina Fil: Antuña, Sebastián. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Cultivos Celulares; Argentina Fil: Prieto, Claudio. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Cultivos Celulares; Argentina Fil: Veaute, Carolina Melania Isabel. Laboratorio de Inmunología Básica; Argentina Fil: Müller, Diana María. Laboratorio de Química Aplicada; Argentina

Published
2018

10. Detección de bocavirus humano en la población infantil de Tucumán y Santa Fe, Argentina

Author

Stella Maris Sánchez, Dardo Costas, Fabiana Molina, Judith Pierini, Natalia Sioli, Susana López de Caillou, Ana María Zamora, Graciela Rodríguez, Lucila Ortellao, Nora Mamani, Gustavo Ru Z de Huidobro, Juan Manuel Rudi, María Florencia Viotti, Alejandra Gómez, Rosanna Leva, Gabriela Kusznierz, Raquel Cociglio, Sara Gallardo, and M Verónica Vera-Garate

Subjects
infección respiratoria aguda, 0301 basic medicine, biology, media_common.quotation_subject, 030106 microbiology, Human bocavirus, Public Health, Environmental and Occupational Health, Art, biology.organism_classification, Bocavirus, 03 medical and health sciences, Infectious Diseases, Humanities, niños, media_common
Abstract

Introducción: Un alto porcentaje de las infecciones respiratorias agudas (IRA) permanece sin diagnostico etiológico, por lo cual se investigan nuevos patógenos continuamente. Bocavirus humano (HBoV) fue descubierto en 2005, como un nuevo miembro de la familia Parvoviridae y propuesto como causante de IRA. Objetivos: Investigar la prevalencia de HBoV en niños bajo 5 años de edad, hospitalizados por IRA en dos provincias de Argentina: Santa Fe y Tucumán y describir aspectos epidemiológicos y clínicos asociados a su detección. Materiales y Métodos: Se estudiaron retrospectivamente los aspirados nasofaríngeos (ANF) de pacientes bajo 5 años de edad, con diagnóstico de IRA, hospitalizados durante el año 2013. La presencia de HBoV se detectó mediante la RPC de punto final descripta por Allander y cols. Los virus tradicionales se estudiaron mediante inmunofluorescencia. Datos personales, clínicos y epidemiológicos se recolectaron en una planilla estandarizada. Resultados: HBoV fue detectado en 7% de las muestras con prevalencia en primavera y verano; y principalmente en pacientes bajo 2 años de edad. Se registró co-detecciones en 22% de los casos. Discusión: Hemos detectado HBoV en estas dos provincias de Argentina; estudios posteriores deberán efectuarse para determinar si se trata de una infección reciente o una excreción prolongada del virus.

Published
2016

11. [Parotitis and influenza: unusual association during 2017, in Santa Fe, Argentina]

Author

Gabriela, Kusznierz, Juan Manuel, Rudi, Verónica Vera, Garate, Andrea, Uboldi, Raquel, Cociglio, Juan Carlos, Beltramino, Judith, Pierini, Natalia, Sioli, Gerardo, Pigliacampo, Adriana, Cesoni, José, D Jorge, Cecilia, Cantero, Patricia, Schoult, Freyre, Cecilia, Elsa, Baumesteir, Carlos, Pastor, Gonzalo, Vidal, and Carolina, Cudós

Subjects
Adult, Male, Adolescent, Argentina, Infant, Diagnosis, Differential, Young Adult, Child, Preschool, Influenza, Human, Humans, Female, Seasons, Child, Parotitis
Abstract

Parotitis is an acute viral disease characterized by swelling and pain in one or both salivary glands, submaxillary or submental, fever, headache, muscle ache and/or fatigue.To investigate the occurrence of influenza virus infection in parotitis cases in a population of Santa Fe during 2017 and analyze clinical and epidemiological characteristics of the cases.We studied patients with diagnosis of mumps without age restriction, who came for examination from week 26 to the network of clinicians forming the Sentinel Influenza Unit in Santa Fe.Between epidemiological weeks 26 and 44, 22 clinical parotitis cases we enrolled. The influenza virus was detected in 68.2%, influenza A (H3N2) 93%, and influenza B, 7%. The clinical signs of cases were mild, with an average swelling development of 5 days and no complications. 74% presented with influenza-like illness in tandem with parotitis.This study provides evidence that a proportion of children presenting with parotitis had influenza A(H3N2) virus infection. It is necessary to implement systematic surveillance of parotitis associated with influenza and differential diagnosis even in the absence of respiratory symptoms.

Published
2018

12. The role of rhinovirus in children hospitalized for acute respiratory disease, Santa Fe, Argentina

Author

Gabriela Kusznierz, Alejandra Gómez, Virginia Bonet, Judith Pierini, Raquel Cociglio, Diego Cantarutti, Fabiana Molina, Rocío Díaz, Lucila Ortellao, and Juan Manuel Rudi

Subjects
Pediatrics, medicine.medical_specialty, business.industry, Respiratory infection, medicine.disease_cause, medicine.disease, respiratory tract diseases, Pneumonia, Infectious Diseases, medicine.anatomical_structure, Bronchiolitis, Virology, Intensive care, medicine, Bronchitis, Rhinovirus, business, Airway, Respiratory tract
Abstract

Human rhinoviruses (HRVs) were historically considered upper airway pathogens. However, they have recently been proven to cause infections in the lower respiratory tract, resulting in hospitalization of children with pneumonia, bronchiolitis, and chronic pulmonary obstruction. In this report, HRV frequency and seasonality are described together with patient clinical-epidemiological aspects. From a total of 452 surveyed samples, the HRV nucleic acids was detected in 172 (38.1%) and found in every month of the study year. 60% of inpatients with acute respiratory infection (ARI) associated with HRV were under 6 months of age and 31% had a clinical history, being preterm birth and recurrent wheezing the prevailing conditions. The most frequent discharge diagnoses were pneumonia (35.2%), bronchiolitis (32.4%), and bronchitis (12.4%). Fifteen point nine percent of patients required admission into intensive care units. The results obtained in this study demonstrated the association between HRV and children hospitalizations caused by ARI.

Published
2015

13. Temporal Patterns of Influenza A and B in Tropical and Temperate Countries: What Are the Lessons for Influenza Vaccination?

Author

Marietjie Venter, Juan Yang, Simona Puzelli, Antonino Bella, Joshua A. Mott, Rodrigo Fasce, Coulibaly Daouda, Jenny Lara, Hongjie Yu, Winston Andrade, Selim Badur, Cláudio Maierovitch Pessanha Henriques, François G. Schellevis, Jean-Michel Heraud, Akerke Ospanova, Sonam Wangchuk, Brechla Moreno, Herve A. Kadjo, Raymond T. P. Lin, Juan Manuel Rudi, Walquiria Aparecida Ferreira de Almeida, Gabriela Kusznierz, Joseph S. Bresee, Cheryl Cohen, Mai thi Quynh Le, Rhonda Owen, Maria Zambon, Maria Luisa Matute, Kunzang Dorji, Kate Pennington, Global Influenza B Study, Herman Kosasih, Nurhayati, Alla Mironenko, Ming Li, Angel Balmaseda, Alexey Clara, Alfredo Bruno, Richard Njouom, Phuong Vu Mai Hoang, Ana Paula Rodrigues, Celina de Lozano, Luzhao Feng, Olha Holubka, Amal Barakat, Lyazzat Kiyanbekova, Norosoa Harline Razanajatovo, Saverio Caini, Meral Akcay Ciblak, Raquel Guiomar, Richard Pebody, Leticia Castillo, Gideon O. Emukule, Liza Lopez, Doménica de Mora, Jeffery Cutter, Q. Sue Huang, Marie-Astrid Vernet, Abderrahman Bimohuen, John Paget, Lynnette Brammer, General practice, EMGO - Quality of care, Netherlands Institute for Health Services Research, Instituto de Salud Pública de Chile (ISP), Istanbul University, Ministry of Health [Nicaragua] (MINSA), Ministry of Health [Morocco], Istituto Superiore di Sanita [Rome], Centers for Disease Control and Prevention [Atlanta] (CDC), Centers for Disease Control and Prevention, Instituto Nacional de Investigación en Salud Pública [Guayaquil, Ecuador] (INSPI), Ministerio de Salud Publica y Asistencia Social [Guatemala] (MSPAS), US Centers for Disease Control, University of the Witwatersrand [Johannesburg] (WITS), Ministry of Health, Institut Pasteur de Côte d'Ivoire, Réseau International des Instituts Pasteur (RIIP), Ministerio de Salud de El Salvador (MINSAL), Ministry of Health [Bhoutan], US Centers for Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Instituto nacional de saude, Unité de Virologie [Antananarivo, Madagascar] (IPM), Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), National Academy of Medical Sciences of Ukraine, Institute of Environmental Science and Research (ESR), Astana Center of Sanitary Epidemiology Expertise, US Naval Medical Research Unit n°2, Instituto Nacional de Enfermedades Respiratorias 'Dr. Emilio Coni', Ministry of Health [Costa Rica], National Institute of Hygiene and Epidemiology [Hanoi, Vietnam] (NIHE), Ministry of Health [Honduras] (SESAL), National Influenza Center, Centre Pasteur du Cameroun, Office of Health Protection, Woden, ACT, Australia (DHAISS), Public Health England [London], National Institute of Health, University of Pretoria [South Africa], The Global Influenza B Study is supported by an unrestricted research grant from Sanofi Pasteur. The study sponsor had no role in the design of the study, in the collection, analysis, and interpretation of data, in the writing of the report, and and in the decision to submit the paper for publication. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication. The study sponsor had no access to the data in the study.

Subjects
Infecções Respiratórias, Influenza Viruses, Epidemiology, Gripe, Pathology and Laboratory Medicine, Geographical locations, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, DRIVERS, Estados de Saúde, Public and Occupational Health, SUB-SAHARAN AFRICA, lcsh:Science, MESH: Influenza B virus, Northern Hemisphere, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Geography, MESH: Influenza, Human, Vaccination, virus diseases, 3. Good health, Global Influenza B Study, MESH: Tropical Climate, [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Science & Technology - Other Topics, Immunology, Disease Surveillance, SEASONAL INFLUENZA, Microbiology, Influenza Vaccin, 03 medical and health sciences, Influenza Vaccination, SURVEILLANCE, Humans, Microbial Pathogens, Retrospective Studies, MESH: Humans, Science & Technology, lcsh:R, Organisms, Correction, Influenza a, MESH: Retrospective Studies, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, medicine.disease, Virology, Influenza, MADAGASCAR, lcsh:Q, Preventive Medicine, People and places, Demography, RNA viruses, Viral Diseases, lcsh:Medicine, medicine.disease_cause, Tropical climate, Medicine and Health Sciences, Influenza A virus, 030212 general & internal medicine, Multidisciplinary, Medical microbiology, Vaccination and Immunization, Multidisciplinary Sciences, Infectious Diseases, Viruses, Human mortality from H5N1, Southern Hemisphere, Seasons, Pathogens, Brazil, Research Article, Infectious Disease Control, General Science & Technology, 030231 tropical medicine, MESH: Influenza A virus, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], MD Multidisciplinary, Influenza, Human, Temperate climate, medicine, Tropical Climate, Biology and life sciences, business.industry, Other Research Radboud Institute for Health Sciences [Radboudumc 0], Viral pathogens, Tropics, MESH: Vaccination, South America, Seasonality, Earth sciences, Influenza B virus, Infectious Disease Surveillance, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Geographic areas, MESH: Seasons, Orthomyxoviruses
Abstract

Erratum in - Correction: Temporal Patterns of Influenza A and B in Tropical and Temperate Countries: What Are the Lessons for Influenza Vaccination? PLoS One. 2016 May 2;11(5):e0155089. doi: 10.1371/journal.pone.0155089. Introduction: Determining the optimal time to vaccinate is important for influenza vaccination programmes. Here, we assessed the temporal characteristics of influenza epidemics in the Northern and Southern hemispheres and in the tropics, and discuss their implications for vaccination programmes. Methods: This was a retrospective analysis of surveillance data between 2000 and 2014 from the Global Influenza B Study database. The seasonal peak of influenza was defined as the week with the most reported cases (overall, A, and B) in the season. The duration of seasonal activity was assessed using the maximum proportion of influenza cases during three consecutive months and the minimum number of months with 80% of cases in the season. We also assessed whether co-circulation of A and B virus types affected the duration of influenza epidemics. Results: 212 influenza seasons and 571,907 cases were included from 30 countries. In tropical countries, the seasonal influenza activity lasted longer and the peaks of influenza A and B coincided less frequently than in temperate countries. Temporal characteristics of influenza epidemics were heterogeneous in the tropics, with distinct seasonal epidemics observed only in some countries. Seasons with co-circulation of influenza A and B were longer than influenza A seasons, especially in the tropics. Discussion: Our findings show that influenza seasonality is less well defined in the tropics than in temperate regions. This has important implications for vaccination programmes in these countries. High-quality influenza surveillance systems are needed in the tropics to enable decisions about when to vaccinate. The Global Influenza B Study is supported by an unrestricted research grant from Sanofi Pasteur. info:eu-repo/semantics/publishedVersion

Published
2016

14. The role of rhinovirus in children hospitalized for acute respiratory disease, Santa Fe, Argentina

Author

Juan Manuel, Rudi, Fabiana, Molina, Rocío, Díaz, Virginia, Bonet, Lucila, Ortellao, Diego, Cantarutti, Alejandra, Gómez, Judith, Pierini, Raquel, Cociglio, and Gabriela, Kusznierz

Subjects
Male, Picornaviridae Infections, Adolescent, Critical Care, Rhinovirus, Incidence, Age Factors, Argentina, Infant, Newborn, Infant, Hospitalization, Risk Factors, Child, Preschool, Prevalence, Humans, Female, Seasons, Child, Respiratory Tract Infections, Retrospective Studies
Abstract

Human rhinoviruses (HRVs) were historically considered upper airway pathogens. However, they have recently been proven to cause infections in the lower respiratory tract, resulting in hospitalization of children with pneumonia, bronchiolitis, and chronic pulmonary obstruction. In this report, HRV frequency and seasonality are described together with patient clinical-epidemiological aspects. From a total of 452 surveyed samples, the HRV nucleic acids was detected in 172 (38.1%) and found in every month of the study year. 60% of inpatients with acute respiratory infection (ARI) associated with HRV were under 6 months of age and 31% had a clinical history, being preterm birth and recurrent wheezing the prevailing conditions. The most frequent discharge diagnoses were pneumonia (35.2%), bronchiolitis (32.4%), and bronchitis (12.4%). Fifteen point nine percent of patients required admission into intensive care units. The results obtained in this study demonstrated the association between HRV and children hospitalizations caused by ARI.

Published
2015

15. The epidemiological signature of influenza B virus and its B/Victoria and B/Yamagata lineages in the 21st century

Author

John Paget, Olga Bessonova, Joseph S. Bresee, Norosoa Harline Razanajatovo, Saverio Caini, Binay Thapa, Francisco José de Paula Júnior, Jenny Lara Araya, Florette K. Treurnicht, Walquiria Aparecida Ferreira de Almeida, Brechla Moreno Arévalo, Zhibin Peng, Raquel Guiomar, Gabriela Kusznierz, Q. Sue Huang, Herman Kosasih, Antonino Bella, Doménica de Mora, Rakhee Palekar, Olha Holubka, Maria R. Castrucci, Rudevelinda Rivera, Phuong Vu Mai Hoang, Gideon O. Emukule, Rodrigo Fasce, Rocio Higueros, Sandra S. Chaves, Fatima el Falaki, Mai T. Q. Le, Herve A. Kadjo, Patricia Bustos, Luzhao Feng, Ainash Makusheva, Vernon J. Lee, Richard Njouom, Ana Paula Rodrigues, Coulibaly Daouda, Gé Donker, Alfredo Bruno, Alla Mironenko, Cheryl Cohen, Jean-Michel Heraud, Li Wei Ang, Sonam Wangchuk, Mónica Jeannette Barahona de Gámez, Maria Zambon, Clotilde El Guerche-Séblain, Angel Balmaseda, Lynnette Brammer, Amal Barakat, Richard Pebody, Adam Meijer, Verònica Vera Garate, Tim Wood, Netherlands Institute for Health Services Research [Utrecht] (NIVEL), Instituto Nacional de Enfermedades Respiratorias Dr. Emilio Coni [Santa Fe, Argentina] (INER), Ministry of Health [Bhoutan], Ministry of Health [Brasília, Brazil], Centre Pasteur du Cameroun, Réseau International des Instituts Pasteur (RIIP), Instituto de Salud Pública de Chile (ISP), Chinese Center for Disease Control and Prevention, Ministry of Health [Costa Rica], Instituto Nacional de Investigación en Salud Pública [Guayaquil, Ecuador] (INSPI), Ministerio de Salud de El Salvador (MINSAL), Public Health England [London], Ministerio de Salud Publica y Asistencia Social [Guatemala] (MSPAS), Ministry of Health [Honduras] (SESAL), US Naval Medical Research Unit No.2 [Jakarta, Indonesia] (NAMRU-2), Naval Medical Research Center [Silver Spring, USA] (NMRC), Istituto Superiore di Sanita [Rome], Institut Pasteur de Côte d'Ivoire, Institut National de Santé Publique d'Abidjan-INSP, Ministry of Healthcare [Kazakhstan], Centers for Disease Control and Prevention [Atlanta] (CDC), Centers for Disease Control and Prevention, Centers for Disease Control and Prevention [Kenya], Unité de Virologie [Antananarivo, Madagascar] (IPM), Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Institut National d'Hygiène [Maroc], National Institute for Public Health and the Environment [Bilthoven] (RIVM), Institute of Environmental Science and Research (ESR), Ministry of Health [Nicaragua] (MINSA), Pan American Health Organization [Washington] (PAHO), Instituto Conmemorativo Gorgas de Estudios de la Salud [Panamá], Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), Ministry of Health [Singapore], National Institute for Communicable Diseases [Johannesburg] (NICD), University of the Witwatersrand [Johannesburg] (WITS), National Academy of Sciences of Ukraine (NASU), National Institute of Hygiene and Epidemiology [Hanoi, Vietnam] (NIHE), Sanofi Pasteur [Lyon, France], The study is supported by a research grant from Sanofi Pasteur: the ‘Global Epidemiology of Influenza B’ research project. The funder provided support in the form of salaries for two authors (CEGS and JP) but did not have any additional role in the data collection, analysis, decision to publish, or preparation of the manuscript., The 'Global Influenza B Study team' (group authorship) includes the following scientists: Juan Manuel Rudi (jmrudi@anlis.gov.ar), National Institute of Respiratory Diseases 'Emilio Coni', Santa Fe, Argentina, Dorji Wangchuk (dorjiwangchuk@health.gov.bt) and Sangay Zangmo (szangmo@health.gov.bt), Royal Centre for Disease Control, Department of Public Health, Ministry of Health, Thimphu, Bhutan, Daiana Araujo da Silva (daiana.silva@saude.gov.br), Ministry of Health, Department of Surveillance of Transmissible Diseases, Brasília/DF, Brazil, Winston Andrade (wandrade@ispch.cl), Sub-Department of Viral Diseases, Instituto de Salud Pública de Chile, Santiago, Chile, Jiandong Zheng (zhengjd@chinacdc.cn) and Ying Qin (qinying@chinacdc.cn), Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, P.R. China, Joanna Ellis (joanna.ellis@phe.gov.uk), Public Health England, London, United Kingdom, Simona Puzelli (simona.puzelli@iss.it), National Influenza Center, Department of Infectious Diseases, National Institute of Health, Rome, Italy, Caterina Rizzo (rizzocaterina@gmail.com), Bambino Gesù Children's Hospital, Rome, Italy, Linus Ndegwa (ikf7@cdc.gov), Influenza Program, Centers for Disease Control and Prevention, Nairobi, Kenya, Marit MA de Lange (marit.de.lange@rivm.nl) and Anne C. Teirlinck (anne.teirlinck@rivm.nl), National Institute for Public Health and the Environment, Centre for Infectious Diseases, Epidemiology and Surveillance, Bilthoven, The Netherlands, Jeffery Cutter (jeffery_cutter@moh.gov.sg) and Raymond Tzer Pin Lin (raymond_lin@moh.gov.sg), Public Health Group, Ministry of Health, Singapore, Singapore, Than T. Le (lmot82@yahoo.com), National Institute of Hygiene and Epidemiology, Hanoi, Vietnam, and Peter Kinuthia 42 (polorien@gmail.com), IHRC Inc., Atlanta, USA.

Subjects
RNA viruses, Male, Infecções Respiratórias, 0301 basic medicine, Viral Diseases, medicine.disease_cause, MESH: Influenza Vaccines, Seasonal influenza, Influenza A Virus, H1N1 Subtype, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Epidemiology, Medicine and Health Sciences, Influenza A virus, 030212 general & internal medicine, MESH: Influenza B virus, Pathology and laboratory medicine, Northern Hemisphere, Vaccines, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Multidisciplinary, Geography, MESH: Influenza, Human, virus diseases, Medical microbiology, 3. Good health, Infectious Diseases, Influenza Vaccines, Population Surveillance, Viruses, Epidemiological Monitoring, [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Medicine, Southern Hemisphere, Female, Age distribution, Seasons, Pathogens, MESH: History, 21st Century, Research Article, medicine.medical_specialty, Infectious Disease Control, Science, MESH: Influenza A virus, Biology, Microbiology, History, 21st Century, Virus, MESH: Population Surveillance, MESH: Influenza A Virus, H1N1 Subtype, 03 medical and health sciences, Age Distribution, Population Metrics, Influenza, Human, medicine, Influenza viruses, Humans, Epidemics, MESH: Epidemics, Disease burden, MESH: Humans, Biology and life sciences, Population Biology, Organisms, Viral pathogens, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Estados de Saúde e de Doença, Virology, Influenza, MESH: Male, Microbial pathogens, Earth sciences, Influenza B virus, Vaccine mismatch, 030104 developmental biology, Virus type, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Epidemiological Monitoring, Geographic areas, MESH: Seasons, MESH: Female, Orthomyxoviruses
Abstract

Free PMC article: https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/31513690/ We 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. info:eu-repo/semantics/publishedVersion

Published
2019

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