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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26538

Title: The impact of regular school closure on seasonal influenza epidemics: a data-driven spatial transmission model for Belgium
Authors: De Luca, Giancarlo
Van Kerckhove, Kim
Coletti, Pietro
Poletto, Chiara
Bossuyt, Nathalie
Hens, Niel
Colizza, Vittoria
Issue Date: 2018
Citation: BMC INFECTIOUS DISEASES, 18 (Art N° 29)
Abstract: Background: School closure is often considered as an option to mitigate influenza epidemics because of its potential to reduce transmission in children and then in the community. The policy is still however highly debated because of controversial evidence. Moreover, the specific mechanisms leading to mitigation are not clearly identified. Methods: We introduced a stochastic spatial age-specific metapopulation model to assess the role of holiday-associated behavioral changes and how they affect seasonal influenza dynamics. The model is applied to Belgium, parameterized with country-specific data on social mixing and travel, and calibrated to the 2008/ 2009 influenza season. It includes behavioral changes occurring during weekend vs. weekday, and holiday vs. school-term. Several experimental scenarios are explored to identify the relevant social and behavioral mechanisms. Results: Stochastic numerical simulations show that holidays considerably delay the peak of the season and mitigate its impact. Changes in mixing patterns are responsible for the observed effects, whereas changes in travel behavior do not alter the epidemic. Weekends are important in slowing down the season by periodically dampening transmission. Christmas holidays have the largest impact on the epidemic, however later school breaks may help in reducing the epidemic size, stressing the importance of considering the full calendar. An extension of the Christmas holiday of 1 week may further mitigate the epidemic. Conclusion: Changes in the way individuals establish contacts during holidays are the key ingredient explaining the mitigating effect of regular school closure. Our findings highlight the need to quantify these changes in different demographic and epidemic contexts in order to provide accurate and reliable evaluations of closure effectiveness. They also suggest strategic policies in the distribution of holiday periods to minimize the epidemic impact.
Notes: [De Luca, Giancarlo; Poletto, Chiara; Colizza, Vittoria] UPMC Univ Paris 06, Inst Pierre Louis Epidemiol & Sante Publ, INSERM, Sorbonne Univ,IPLESP UMR S 1136, F-75012 Paris, France. [Van Kerckhove, Kim; Coletti, Pietro; Hens, Niel] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Agoralaan Gebouw D, B-3590 Diepenbeek, Belgium. [Bossuyt, Nathalie] Sci Inst Publ Hlth WIV ISP, Epidemiol Infect Dis Serv, Publ Hlth & Surveillance Directorate, Rue Juliette,Wytsmanstr 14, B-1050 Brussels, Belgium. [Hens, Niel] Univ Antwerp, Ctr Hlth Econ Res & Modelling Infect Dis, Vaccine & Infect Dis Inst, Univ Pl 1, B-2610 Antwerp, Belgium. [Colizza, Vittoria] ISI Fdn, I-10126 Turin, Italy.
URI: http://hdl.handle.net/1942/26538
DOI: 10.1186/s12879-017-2934-3
ISI #: 000419897200003
ISSN: 1471-2334
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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