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      Burden of salmonellosis, campylobacteriosis and listeriosis: a time series analysis, Belgium, 2012 to 2020

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          Abstract

          Salmonellosis, campylobacteriosis and listeriosis are food-borne diseases. We estimated and forecasted the number of cases of these three diseases in Belgium from 2012 to 2020, and calculated the corresponding number of disability-adjusted life years (DALYs). The salmonellosis time series was fitted with a Bai and Perron two-breakpoint model, while a dynamic linear model was used for campylobacteriosis and a Poisson autoregressive model for listeriosis. The average monthly number of cases of salmonellosis was 264 (standard deviation (SD): 86) in 2012 and predicted to be 212 (SD: 87) in 2020; campylobacteriosis case numbers were 633 (SD: 81) and 1,081 (SD: 311); listeriosis case numbers were 5 (SD: 2) in 2012 and 6 (SD: 3) in 2014. After applying correction factors, the estimated DALYs for salmonellosis were 102 (95% uncertainty interval (UI): 8–376) in 2012 and predicted to be 82 (95% UI: 6–310) in 2020; campylobacteriosis DALYs were 1,019 (95% UI: 137–3,181) and 1,736 (95% UI: 178–5,874); listeriosis DALYs were 208 (95% UI: 192–226) in 2012 and 252 (95% UI: 200–307) in 2014. New actions are needed to reduce the risk of food-borne infection with Campylobacter spp. because campylobacteriosis incidence may almost double through 2020.

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          GBD 2010: design, definitions, and metrics.

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            Estimating and Testing Linear Models with Multiple Structural Changes

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              Population Incidence of Guillain-Barré Syndrome: A Systematic Review and Meta-Analysis

              Population incidence of Guillain-Barré syndrome (GBS) is required to assess changes in GBS epidemiology, but published estimates of GBS incidence vary greatly depending on case ascertainment, definitions, and sample size. We performed a meta-analysis of articles on GBS incidence by searching Medline (1966–2009), Embase (1988–2009), Cinahl (1981–2009) and CABI (1973–2009) as well as article bibliographies. We included studies from North America and Europe with at least 20 cases, and used population-based data, subject matter experts to confirm GBS diagnosis, and an accepted GBS case definition. With these data, we fitted a random-effects negative binomial regression model to estimate age-specific GBS incidence. Of 1,683 nonduplicate citations, 16 met the inclusion criteria, which produced 1,643 cases and 152.7 million person-years of follow-up. GBS incidence increased by 20% for every 10-year increase in age; the risk of GBS was higher for males than females. The regression equation for calculating the average GBS rate per 100,000 person-years as a function of age in years was exp[–12.0771 + 0.01813(age in years)] × 100,000. Our findings provide a robust estimate of background GBS incidence in Western countries. Our regression model may be used in comparable populations to estimate the background age-specific rate of GBS incidence for future studies.
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                Author and article information

                Journal
                Euro Surveill
                Euro Surveill
                eurosurveillance
                Eurosurveillance
                European Centre for Disease Prevention and Control (ECDC)
                1025-496X
                1560-7917
                21 September 2017
                : 22
                : 38
                : 30615
                Affiliations
                [1 ]Institute of Health and Society (IRSS), Université catholique de Louvain, Brussels, Belgium
                [2 ]Department of Public Health and Surveillance, Scientific Institute of Public Health (WIV-ISP), Brussels, Belgium
                [3 ]Department of Public Health, Erasmus MC, Rotterdam, the Netherlands
                [4 ]University of Florida, Gainesville, Florida, United States
                [5 ]Utrecht University, Utrecht, the Netherlands
                [6 ]Université libre de Bruxelles, Brussels, Belgium
                [7 ]University of Texas, Dallas, Richardson, Texas, United States
                Author notes

                Correspondence: Charline Maertens de Noordhout ( charline.maertens@ 123456uclouvain.be )

                Article
                16-00401 30615
                10.2807/1560-7917.ES.2017.22.38.30615
                5709949
                28935025
                ebdcdb4a-ba56-4553-b7ae-2d7f48c1e526
                This article is copyright of The Authors, 2017.

                This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.

                History
                : 10 June 2016
                : 09 May 2017
                Categories
                Research Article
                Custom metadata
                3

                salmonellosis,campylobacteriosis,listeriosis,belgium,burden,time series,prediction,dalys

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