The Effect of Risk Perception on the 2009 H1N1 Pandemic Influenza Dynamics

被引:120
作者
Poletti, Piero [1 ,2 ]
Ajelli, Marco [1 ]
Merler, Stefano [1 ]
机构
[1] Bruno Kessler Fdn, Trento, Italy
[2] Univ Trento, Dept Math, Trento, Italy
来源
PLOS ONE | 2011年 / 6卷 / 02期
关键词
BEHAVIORAL-CHANGES; SELF-INTEREST; SPREAD; STRATEGIES; MOBILITY; MODELS;
D O I
10.1371/journal.pone.0016460
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 1: 24, which increased to 1: 48 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.
引用
收藏
页数:7
相关论文
共 59 条
  • [1] Model predictions and evaluation of possible control strategies for the 2009 A/H1N1v influenza pandemic in Italy
    Ajelli, M.
    Merler, S.
    Pugliese, A.
    Rizzo, C.
    [J]. EPIDEMIOLOGY AND INFECTION, 2011, 139 (01) : 68 - 79
  • [2] Basic mathematical models for the temporal dynamics of HAV in medium-endemicity Italian areas
    Ajelli, Marco
    Iannelli, Mimmo
    Manfredi, Piero
    Attie, Marta L. Ciofi degli
    [J]. VACCINE, 2008, 26 (13) : 1697 - 1707
  • [3] The Impact of the Unstructured Contacts Component in Influenza Pandemic Modeling
    Ajelli, Marco
    Merler, Stefano
    [J]. PLOS ONE, 2008, 3 (01):
  • [4] ANDERSON R M, 1991
  • [5] [Anonymous], 2009, SIT UPD PAND H1N1
  • [6] [Anonymous], 2005, Stochastic local search-Foundations and applications
  • [7] [Anonymous], LA REPUBBLICA
  • [8] [Anonymous], 1947, Theory of Games and Economic Behavior
  • [9] [Anonymous], 1998, EVOLUTIONARY GAMES P
  • [10] Vaccination against pandemic influenza A/H1N1v in England: A real-time economic evaluation
    Baguelin, Marc
    Van Hoek, Albert Jan
    Jit, Mark
    Flasche, Stefan
    White, Peter J.
    Edmunds, W. John
    [J]. VACCINE, 2010, 28 (12) : 2370 - 2384