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2. Effectiveness of seasonal influenza vaccination in community-dwelling elderly people: an individual participant data meta-analysis of test-negative design case-control studies

Author

Darvishian, Maryam, van den Heuvel, Edwin R, Bissielo, Ange, Castilla, Jesus, Cohen, Cheryl, Englund, Helene, Gefenaite, Giedre, Huang, Wan-Ting, la Bastide-van Gemert, Sacha, Martinez-Baz, Iván, McAnerney, Johanna M, Ntshoe, Genevie M, Suzuki, Motoi, Turner, Nikki, and Hak, Eelko

Published
2017
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6. Estimates of global seasonal influenza-associated respiratory mortality: a modelling study

Author

Iuliano, A Danielle, primary, Roguski, Katherine M, additional, Chang, Howard H, additional, Muscatello, David J, additional, Palekar, Rakhee, additional, Tempia, Stefano, additional, Cohen, Cheryl, additional, Gran, Jon Michael, additional, Schanzer, Dena, additional, Cowling, Benjamin J, additional, Wu, Peng, additional, Kyncl, Jan, additional, Ang, Li Wei, additional, Park, Minah, additional, Redlberger-Fritz, Monika, additional, Yu, Hongjie, additional, Espenhain, Laura, additional, Krishnan, Anand, additional, Emukule, Gideon, additional, van Asten, Liselotte, additional, Pereira da Silva, Susana, additional, Aungkulanon, Suchunya, additional, Buchholz, Udo, additional, Widdowson, Marc-Alain, additional, Bresee, Joseph S, additional, Azziz-Baumgartner, Eduardo, additional, Cheng, Po-Yung, additional, Dawood, Fatimah, additional, Foppa, Ivo, additional, Olsen, Sonja, additional, Haber, Michael, additional, Jeffers, Caprichia, additional, MacIntyre, C Raina, additional, Newall, Anthony T, additional, Wood, James G, additional, Kundi, Michael, additional, Popow-Kraupp, Therese, additional, Ahmed, Makhdum, additional, Rahman, Mahmudur, additional, Marinho, Fatima, additional, Sotomayor Proschle, C Viviana, additional, Vergara Mallegas, Natalia, additional, Luzhao, Feng, additional, Sa, Li, additional, Barbosa-Ramírez, Juliana, additional, Sanchez, Diana Malo, additional, Gomez, Leandra Abarca, additional, Vargas, Xiomara Badilla, additional, Acosta Herrera, aBetsy, additional, Llanés, María Josefa, additional, Fischer, Thea Kølsen, additional, Krause, Tyra Grove, additional, Mølbak, Kåre, additional, Nielsen, Jens, additional, Trebbien, Ramona, additional, Bruno, Alfredo, additional, Ojeda, Jenny, additional, Ramos, Hector, additional, an der Heiden, Matthias, additional, del Carmen Castillo Signor, Leticia, additional, Serrano, Carlos Enrique, additional, Bhardwaj, Rohit, additional, Chadha, Mandeep, additional, Narayan, Venkatesh, additional, Kosen, Soewarta, additional, Bromberg, Michal, additional, Glatman-Freedman, Aharona, additional, Kaufman, Zalman, additional, Arima, Yuzo, additional, Oishi, Kazunori, additional, Chaves, Sandra, additional, Nyawanda, Bryan, additional, Al-Jarallah, Reem Abdullah, additional, Kuri-Morales, Pablo A, additional, Matus, Cuitláhuac Ruiz, additional, Corona, Maria Eugenia Jimenez, additional, Burmaa, Alexander, additional, Darmaa, Oyungerel, additional, Obtel, Majdouline, additional, Cherkaoui, Imad, additional, van den Wijngaard, Cees C, additional, van der Hoek, Wim, additional, Baker, Michael, additional, Bandaranayake, Don, additional, Bissielo, Ange, additional, Huang, Sue, additional, Lopez, Liza, additional, Newbern, Claire, additional, Flem, Elmira, additional, Grøneng, Gry M, additional, Hauge, Siri, additional, de Cosío, Federico G, additional, de Moltó, Yadira, additional, Castillo, Lourdes Moreno, additional, Cabello, Maria Agueda, additional, von Horoch, Marta, additional, Medina Osis, Jose, additional, Machado, Ausenda, additional, Nunes, Baltazar, additional, Rodrigues, Ana Paula, additional, Rodrigues, Emanuel, additional, Calomfirescu, Cristian, additional, Lupulescu, Emilia, additional, Popescu, Rodica, additional, Popovici, Odette, additional, Bogdanovic, Dragan, additional, Kostic, Marina, additional, Lazarevic, Konstansa, additional, Milosevic, Zoran, additional, Tiodorovic, Branislav, additional, Chen, Mark, additional, Cutter, Jeffery, additional, Lee, Vernon, additional, Lin, Raymond, additional, Ma, Stefan, additional, Cohen, Adam L, additional, Treurnicht, Florette, additional, Kim, Woo Joo, additional, Delgado-Sanz, Concha, additional, de mateo Ontañón, Salvador, additional, Larrauri, Amparo, additional, León, Inmaculada León, additional, Vallejo, Fernando, additional, Born, Rita, additional, Junker, Christoph, additional, Koch, Daniel, additional, Chuang, Jen-Hsiang, additional, Huang, Wan-Ting, additional, Kuo, Hung-Wei, additional, Tsai, Yi-Chen, additional, Bundhamcharoen, Kanitta, additional, Chittaganpitch, Malinee, additional, Green, Helen K, additional, Pebody, Richard, additional, Goñi, Natalia, additional, Chiparelli, Hector, additional, Brammer, Lynnette, additional, and Mustaquim, Desiree, additional

Published
2018
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7. Risk Factors and Attack Rates of Seasonal Influenza Infection: Results of the Southern Hemisphere Influenza and Vaccine Effectiveness Research and Surveillance (SHIVERS) Seroepidemiologic Cohort Study.

Author

Huang, Q Sue, Bandaranayake, Don, Wood, Tim, Newbern, E Claire, Seeds, Ruth, Ralston, Jacqui, Waite, Ben, Bissielo, Ange, Prasad, Namrata, Todd, Angela, Jelley, Lauren, Gunn, Wendy, McNicholas, Anne, Metz, Thomas, Lawrence, Shirley, Collis, Emma, Retter, Amanda, Wong, Sook-san, Webby, Richard, and Bocacao, Judy

Subjects
INFLUENZA, VACCINE effectiveness, BLOOD agglutination, SEROCONVERSION, POLYMERASE chain reaction
Abstract

Background: Understanding the attack rate of influenza infection and the proportion who become ill by risk group is key to implementing prevention measures. While population-based studies of antihemagglutinin antibody responses have been described previously, studies examining both antihemagglutinin and antineuraminidase antibodies are lacking.Methods: In 2015, we conducted a seroepidemiologic cohort study of individuals randomly selected from a population in New Zealand. We tested paired sera for hemagglutination inhibition (HAI) or neuraminidase inhibition (NAI) titers for seroconversion. We followed participants weekly and performed influenza polymerase chain reaction (PCR) for those reporting influenza-like illness (ILI).Results: Influenza infection (either HAI or NAI seroconversion) was found in 321 (35% [95% confidence interval, 32%-38%]) of 911 unvaccinated participants, of whom 100 (31%) seroconverted to NAI alone. Young children and Pacific peoples experienced the highest influenza infection attack rates, but overall only a quarter of all infected reported influenza PCR-confirmed ILI, and one-quarter of these sought medical attention. Seroconversion to NAI alone was higher among children aged <5 years vs those aged ≥5 years (14% vs 4%; P < .001) and among those with influenza B vs A(H3N2) virus infections (7% vs 0.3%; P < .001).Conclusions: Measurement of antineuraminidase antibodies in addition to antihemagglutinin antibodies may be important in capturing the true influenza infection rates. [ABSTRACT FROM AUTHOR]

Published
2019
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8. A chest radiograph scoring system in patients with severe acute respiratory infection: a validation study.

Author

Taylor, Emma, Haven, Kathryn, Reed, Peter, Bissielo, Ange, Harvey, Dave, McArthur, Colin, Bringans, Cameron, Freundlich, Simone, Joan, R., Ingram, H., Perry, David, Wilson, Francessa, Milne, David, Modahl, Lucy, Sue Huang, Q., Gross, Diane, Widdowson, Marc-Alain, and Grant, Cameron C.

Subjects
RADIOGRAPHY, SARS treatment, VALIDATION therapy, ATELECTASIS, HEART rate monitoring
Abstract

Background: The term severe acute respiratory infection (SARI) encompasses a heterogeneous group of respiratory illnesses. Grading the severity of SARI is currently reliant on indirect disease severity measures such as respiratory and heart rate, and the need for oxygen or intensive care. With the lungs being the primary organ system involved in SARI, chest radiographs (CXRs) are potentially useful for describing disease severity. Our objective was to develop and validate a SARI CXR severity scoring system. Methods: We completed validation within an active SARI surveillance project, with SARI defined using the World Health Organization case definition of an acute respiratory infection with a history of fever, or measured fever of ≥ 38 °C; and cough; and with onset within the last 10 days; and requiring hospital admission. We randomly selected 250 SARI cases. Admission CXR findings were categorized as: 1 = normal; 2 = patchy atelectasis and/or hyperinflation and/or bronchial wall thickening; 3 = focal consolidation; 4 = multifocal consolidation; and 5 = diffuse alveolar changes. Initially, four radiologists scored CXRs independently. Subsequently, a pediatrician, physician, two residents, two medical students, and a research nurse independently scored CXR reports. Inter-observer reliability was determined using a weighted Kappa (κ) for comparisons between radiologists; radiologists and clinicians; and clinicians. Agreement was defined as moderate (κ > 0.4-0.6), good (κ > 0.6-0.8) and very good (κ > 0.8-1.0). Results: Agreement between the two pediatric radiologists was very good (κ = 0.83, 95 % CI 0.65-1.00) and between the two adult radiologists was good (κ = 0.75, 95 % CI 0.57-0. 93). Agreement of the clinicians with the radiologists was moderate-to-good (pediatrician:κ = 0.65; pediatric resident:κ = 0.69; physician:κ = 0.68; resident:κ = 0.67; research nurse:κ = 0.49, medical students: κ = 0.53 and κ = 0.56). Agreement between clinicians was good-to-very good (pediatrician vs. physician:κ = 0.85; vs. pediatric resident:κ = 0.81; vs. medicine resident:κ = 0.76; vs. research nurse:κ = 0.75; vs. medical students:κ = 0.63 and 0.66). Following review of discrepant CXR report scores by clinician pairs, κ values for radiologist-clinician agreement ranged from 0.59 to 0.70 and for clinician-clinician agreement from 0.97 to 0.99. Conclusions: This five-point CXR scoring tool, suitable for use in poorly- and well-resourced settings and by clinicians of varying experience levels, reliably describes SARI severity. The resulting numerical data enables epidemiological comparisons of SARI severity between different countries and settings. [ABSTRACT FROM AUTHOR]

Published
2015
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