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The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics
BACKGROUND: The 2009 H1N1 pandemic influenza dynamics in Italy was characterized by a notable pattern: as it emerged from the analysis of influenza-like illness data, after an initial period (September–mid-October 2009) characterized by a slow exponential increase in the weekly incidence, a sudden a...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3034726/ https://www.ncbi.nlm.nih.gov/pubmed/21326878 http://dx.doi.org/10.1371/journal.pone.0016460 |
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author | Poletti, Piero Ajelli, Marco Merler, Stefano |
author_facet | Poletti, Piero Ajelli, Marco Merler, Stefano |
author_sort | Poletti, Piero |
collection | PubMed |
description | BACKGROUND: The 2009 H1N1 pandemic influenza dynamics in Italy was characterized by a notable pattern: as it emerged from the analysis of influenza-like illness data, after an initial period (September–mid-October 2009) characterized by a slow exponential increase in the weekly incidence, a sudden and sharp increase of the growth rate was observed by mid-October. The aim here is to understand whether spontaneous behavioral changes in the population could be responsible for such a pattern of epidemic spread. METHODOLOGY/PRINCIPAL FINDINGS: In order to face this issue, a mathematical model of influenza transmission, accounting for spontaneous behavioral changes driven by cost/benefit considerations on the perceived risk of infection, is proposed and validated against empirical epidemiological data. The performed investigation revealed that an initial overestimation of the risk of infection in the general population, possibly induced by the high concern for the emergence of a new influenza pandemic, results in a pattern of spread compliant with the observed one. This finding is also supported by the analysis of antiviral drugs purchase over the epidemic period. Moreover, by assuming a generation time of 2.5 days, the initially diffuse misperception of the risk of infection led to a relatively low value of the reproductive number [Image: see text], which increased to [Image: see text] in the subsequent phase of the pandemic. CONCLUSIONS/SIGNIFICANCE: This study highlights that spontaneous behavioral changes in the population, not accounted by the large majority of influenza transmission models, can not be neglected to correctly inform public health decisions. In fact, individual choices can drastically affect the epidemic spread, by altering timing, dynamics and overall number of cases. |
format | Text |
id | pubmed-3034726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30347262011-02-15 The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics Poletti, Piero Ajelli, Marco Merler, Stefano PLoS One Research Article BACKGROUND: The 2009 H1N1 pandemic influenza dynamics in Italy was characterized by a notable pattern: as it emerged from the analysis of influenza-like illness data, after an initial period (September–mid-October 2009) characterized by a slow exponential increase in the weekly incidence, a sudden and sharp increase of the growth rate was observed by mid-October. The aim here is to understand whether spontaneous behavioral changes in the population could be responsible for such a pattern of epidemic spread. METHODOLOGY/PRINCIPAL FINDINGS: In order to face this issue, a mathematical model of influenza transmission, accounting for spontaneous behavioral changes driven by cost/benefit considerations on the perceived risk of infection, is proposed and validated against empirical epidemiological data. The performed investigation revealed that an initial overestimation of the risk of infection in the general population, possibly induced by the high concern for the emergence of a new influenza pandemic, results in a pattern of spread compliant with the observed one. This finding is also supported by the analysis of antiviral drugs purchase over the epidemic period. Moreover, by assuming a generation time of 2.5 days, the initially diffuse misperception of the risk of infection led to a relatively low value of the reproductive number [Image: see text], which increased to [Image: see text] in the subsequent phase of the pandemic. CONCLUSIONS/SIGNIFICANCE: This study highlights that spontaneous behavioral changes in the population, not accounted by the large majority of influenza transmission models, can not be neglected to correctly inform public health decisions. In fact, individual choices can drastically affect the epidemic spread, by altering timing, dynamics and overall number of cases. Public Library of Science 2011-02-07 /pmc/articles/PMC3034726/ /pubmed/21326878 http://dx.doi.org/10.1371/journal.pone.0016460 Text en Poletti 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 Poletti, Piero Ajelli, Marco Merler, Stefano The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics |
title | The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics |
title_full | The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics |
title_fullStr | The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics |
title_full_unstemmed | The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics |
title_short | The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics |
title_sort | effect of risk perception on the 2009 h1n1 pandemic influenza dynamics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3034726/ https://www.ncbi.nlm.nih.gov/pubmed/21326878 http://dx.doi.org/10.1371/journal.pone.0016460 |
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