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Title: | Contribution of respiratory pathogens to influenza-like illness consultations | Authors: | BOLLAERTS, Kaatje Antoine, J. Van Casteren, V. Ducoffre, G. HENS, Niel Quoilin, S. |
Issue Date: | 2013 | Source: | EPIDEMIOLOGY AND INFECTION, 141 (10), p. 2196-2204 | Abstract: | Influenza-like illnesses (ILIs) are caused by several respiratory pathogens. These pathogens show weak to strong seasonal activity implying seasonality in ILI consultations. In this paper, the contribution of pathogens to seasonality of ILI consultations was statistically modelled. Virological count data were first smoothed using modulation models for seasonal time series. Second, Poisson regression was used regressing ILI consultation counts on the smoothed time series. Using ratios of the estimated regression parameters, relative measures of the under-reporting of pathogens were obtained. Influenza viruses A and B, parainfluenza virus and respiratory syncytial virus (RSV) significantly contributed to explain the seasonal variation in ILI consultations. We also found that RSV was the least and influenza virus A is the most underreported pathogen in Belgian laboratory surveillance. The proposed methods and results are helpful in interpreting the data of clinical and laboratory surveillance, which are the essential parts of influenza surveillance. | Notes: | [Bollaerts, K.; Antoine, J.; Van Casteren, V.; Ducoffre, G.; Quoilin, S.] Sci Inst Publ Hlth, Operat Directorate Publ Hlth & Surveillance, B-1050 Brussels, Belgium. [Hens, N.] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. [Hens, N.] Univ Antwerp, Vaccine & Infect Dis Inst, Ctr Evaluat Vacciniat, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium. kaatje.bollaerts@wiv-isp.be | Keywords: | Infectious disease epidemiology; influenza; statistics; surveillance system | Document URI: | http://hdl.handle.net/1942/15521 | ISSN: | 0950-2688 | e-ISSN: | 1469-4409 | DOI: | 10.1017/S0950268812002506 | ISI #: | 000323887200024 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2014 |
Appears in Collections: | Research publications |
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