Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis
Data CreatorNair, Harish
PublisherUniversity of Edinburgh
Relation (Is Referenced By)https://doi.org/10.1016/S2214-109X(19)30264-5
MetadataShow full item record
CitationNair, Harish; Li, You. (2019). Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis, [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/2531.
DescriptionBackground: Influenza virus (IFV), respiratory syncytial virus (RSV), parainfluenza virus (PIV), and metapneumovirus (MPV) are the most common viruses associated with acute lower respiratory infections in young children and the elderly. A global report of the monthly activity of these viruses is needed to inform public health strategies and programmes for their control. Methods: We conducted a systematic review of population-based studies supplemented by online data and unpublished research data reporting seasonality of IFV, RSV, PIV, and MPV. We calculated monthly annual average percentage (AAP) as the relative strength of virus activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of IFV and RSV using site-specific temperature and relative humidity for the prediction of local average epidemic months. We also predicted global epidemic months of IFV and RSV on a 5° by 5° grid. The dataset contains the global seasonality of influenza virus, respiratory syncytial virus, parainfluenza virus, and human metapneumovirus. The data dictionary can be found in the second sheet of the excel file. R codes can be found in the word file. Funding: European Union Innovative Medicines Initiative: Respiratory Syncytial Virus Consortium in Europe (RESCEU)
Showing items related by title, author, creator and subject.
Dudas, Gytis; Lemey, Philippe; Rambaut, AndrewMolecular epidemiological analysis output files and trees used in: Dudas et al (2017) Nature. # Abstract: # The 2013–2016 epidemic of Ebola virus disease was of unprecedented magnitude, duration and impact. ...
Small interfering RNAs (siRNA) genome-scale screen data for investigating host factors (HFs) involved in Herpes Simplex Virus Type 1 Replication Griffiths, Samantha; Koegl, Manfred; Boutell, Chris; Zenner, Helen; Crump, Colin; Pica, Francesca; Gonzalez, Orland; Friedel, Caroline; Barry, Gerald; Martin, Kim; Craigon, Marie; Chen, Rui; Kaza, Lakshmi; Fossum, Even; Fazakerley, John; Efstathiou, Stacey; Volpi, Antonio; Zimmer, Ralf; Ghazal, Peter; Haas, JurgenSmall interfering RNA (siRNA) data associated with the following manuscript by Griffiths et al.(2013): A Systematic Analysis of Host Factors Reveals a Med23-Interferon-l Regulatory Axis against Herpes Simplex Virus Type 1 ...
Global disease burden estimates of respiratory syncytial virus associated with acute respiratory infections in older adults in 2015: A systematic review and meta-analysis Shi, TingRespiratory syncytial virus-associated acute respiratory infection (RSV-ARI) constitutes a substantial disease burden in older adults aged ≥65 years. We aimed to identify all studies worldwide investigating the disease ...