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Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios

BACKGROUND: Individual-based models can provide the most reliable estimates of the spread of infectious diseases. In the present study, we evaluated the diffusion of pandemic influenza in Italy and the impact of various control measures, coupling a global SEIR model for importation of cases with an...

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Autores principales: Ciofi degli Atti, Marta Luisa, Merler, Stefano, Rizzo, Caterina, Ajelli, Marco, Massari, Marco, Manfredi, Piero, Furlanello, Cesare, Scalia Tomba, Gianpaolo, Iannelli, Mimmo
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258437/
https://www.ncbi.nlm.nih.gov/pubmed/18335060
http://dx.doi.org/10.1371/journal.pone.0001790
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author Ciofi degli Atti, Marta Luisa
Merler, Stefano
Rizzo, Caterina
Ajelli, Marco
Massari, Marco
Manfredi, Piero
Furlanello, Cesare
Scalia Tomba, Gianpaolo
Iannelli, Mimmo
author_facet Ciofi degli Atti, Marta Luisa
Merler, Stefano
Rizzo, Caterina
Ajelli, Marco
Massari, Marco
Manfredi, Piero
Furlanello, Cesare
Scalia Tomba, Gianpaolo
Iannelli, Mimmo
author_sort Ciofi degli Atti, Marta Luisa
collection PubMed
description BACKGROUND: Individual-based models can provide the most reliable estimates of the spread of infectious diseases. In the present study, we evaluated the diffusion of pandemic influenza in Italy and the impact of various control measures, coupling a global SEIR model for importation of cases with an individual based model (IBM) describing the Italian epidemic. METHODOLOGY/PRINCIPAL FINDINGS: We co-located the Italian population (57 million inhabitants) to households, schools and workplaces and we assigned travel destinations to match the 2001 census data. We considered different R(0 )values (1.4; 1.7; 2), evaluating the impact of control measures (vaccination, antiviral prophylaxis -AVP-, international air travel restrictions and increased social distancing). The administration of two vaccine doses was considered, assuming that first dose would be administered 1-6 months after the first world case, and different values for vaccine effectiveness (VE). With no interventions, importation would occur 37–77 days after the first world case. Air travel restrictions would delay the importation of the pandemic by 7–37 days. With an R(0 )of 1.4 or 1.7, the use of combined measures would reduce clinical attack rates (AR) from 21–31% to 0.3–4%. Assuming an R(0) of 2, the AR would decrease from 38% to 8%, yet only if vaccination were started within 2 months of the first world case, in combination with a 90% reduction in international air traffic, closure of schools/workplaces for 4 weeks and AVP of household and school/work close contacts of clinical cases. Varying VE would not substantially affect the results. CONCLUSIONS: This IBM, which is based on country-specific demographic data, could be suitable for the real-time evaluation of measures to be undertaken in the event of the emergence of a new pandemic influenza virus. All preventive measures considered should be implemented to mitigate the pandemic.
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spelling pubmed-22584372008-03-12 Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios Ciofi degli Atti, Marta Luisa Merler, Stefano Rizzo, Caterina Ajelli, Marco Massari, Marco Manfredi, Piero Furlanello, Cesare Scalia Tomba, Gianpaolo Iannelli, Mimmo PLoS One Research Article BACKGROUND: Individual-based models can provide the most reliable estimates of the spread of infectious diseases. In the present study, we evaluated the diffusion of pandemic influenza in Italy and the impact of various control measures, coupling a global SEIR model for importation of cases with an individual based model (IBM) describing the Italian epidemic. METHODOLOGY/PRINCIPAL FINDINGS: We co-located the Italian population (57 million inhabitants) to households, schools and workplaces and we assigned travel destinations to match the 2001 census data. We considered different R(0 )values (1.4; 1.7; 2), evaluating the impact of control measures (vaccination, antiviral prophylaxis -AVP-, international air travel restrictions and increased social distancing). The administration of two vaccine doses was considered, assuming that first dose would be administered 1-6 months after the first world case, and different values for vaccine effectiveness (VE). With no interventions, importation would occur 37–77 days after the first world case. Air travel restrictions would delay the importation of the pandemic by 7–37 days. With an R(0 )of 1.4 or 1.7, the use of combined measures would reduce clinical attack rates (AR) from 21–31% to 0.3–4%. Assuming an R(0) of 2, the AR would decrease from 38% to 8%, yet only if vaccination were started within 2 months of the first world case, in combination with a 90% reduction in international air traffic, closure of schools/workplaces for 4 weeks and AVP of household and school/work close contacts of clinical cases. Varying VE would not substantially affect the results. CONCLUSIONS: This IBM, which is based on country-specific demographic data, could be suitable for the real-time evaluation of measures to be undertaken in the event of the emergence of a new pandemic influenza virus. All preventive measures considered should be implemented to mitigate the pandemic. Public Library of Science 2008-03-12 /pmc/articles/PMC2258437/ /pubmed/18335060 http://dx.doi.org/10.1371/journal.pone.0001790 Text en Ciofi degli Atti et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ciofi degli Atti, Marta Luisa
Merler, Stefano
Rizzo, Caterina
Ajelli, Marco
Massari, Marco
Manfredi, Piero
Furlanello, Cesare
Scalia Tomba, Gianpaolo
Iannelli, Mimmo
Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios
title Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios
title_full Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios
title_fullStr Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios
title_full_unstemmed Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios
title_short Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios
title_sort mitigation measures for pandemic influenza in italy: an individual based model considering different scenarios
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258437/
https://www.ncbi.nlm.nih.gov/pubmed/18335060
http://dx.doi.org/10.1371/journal.pone.0001790
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