Literature DB >> 19864279

The role of population heterogeneity and human mobility in the spread of pandemic influenza.

Stefano Merler1, Marco Ajelli.   

Abstract

Little is known on how different levels of population heterogeneity and different patterns of human mobility affect the course of pandemic influenza in terms of timing and impact. By employing a large-scale spatially explicit individual-based model, founded on a highly detailed model of the European populations and on a careful analysis of air and railway transportation data, we provide quantitative measures of the influence of such factors at the European scale. Our results show that Europe has to be prepared to face a rapid diffusion of a pandemic influenza, because of the high mobility of the population, resulting in the early importation of the first cases from abroad and highly synchronized local epidemics. The impact of the epidemic in European countries is highly variable because of the marked differences in the sociodemographic structure of European populations. R(0), cumulative attack rate and peak daily attack rate depend heavily on sociodemographic parameters, such as the size of household groups and the fraction of workers and students in the population.

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Year:  2009        PMID: 19864279      PMCID: PMC2842687          DOI: 10.1098/rspb.2009.1605

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  20 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-11       Impact factor: 11.205

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Authors:  Marta C González; César A Hidalgo; Albert-László Barabási
Journal:  Nature       Date:  2008-06-05       Impact factor: 49.962

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Authors:  Ira M Longini; M Elizabeth Halloran; Azhar Nizam; Yang Yang
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9.  Transmissibility of 1918 pandemic influenza.

Authors:  Christina E Mills; James M Robins; Marc Lipsitch
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

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Authors:  Stefano Merler; Marco Ajelli; Caterina Rizzo
Journal:  BMC Infect Dis       Date:  2009-07-28       Impact factor: 3.090

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  101 in total

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Journal:  Eur Phys J E Soft Matter       Date:  2011-02-16       Impact factor: 1.890

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Authors:  Naizhuo Zhao; Guofeng Cao; Jennifer K Vanos; Daniel J Vecellio
Journal:  Int J Biometeorol       Date:  2017-02-11       Impact factor: 3.787

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Journal:  J R Soc Interface       Date:  2013-02-06       Impact factor: 4.118

4.  Deciphering the relative weights of demographic transition and vaccination in the decrease of measles incidence in Italy.

Authors:  Stefano Merler; Marco Ajelli
Journal:  Proc Biol Sci       Date:  2014-01-08       Impact factor: 5.349

5.  An operational epidemiological model for calibrating agent-based simulations of pandemic influenza outbreaks.

Authors:  D Prieto; T K Das
Journal:  Health Care Manag Sci       Date:  2014-04-08

6.  Indemics: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling.

Authors:  Keith R Bisset; Jiangzhuo Chen; Suruchi Deodhar; Xizhou Feng; Yifei Ma; Madhav V Marathe
Journal:  ACM Trans Model Comput Simul       Date:  2014-01       Impact factor: 1.075

7.  Infection of the fittest: devil facial tumour disease has greatest effect on individuals with highest reproductive output.

Authors:  Konstans Wells; Rodrigo K Hamede; Douglas H Kerlin; Andrew Storfer; Paul A Hohenlohe; Menna E Jones; Hamish I McCallum
Journal:  Ecol Lett       Date:  2017-05-10       Impact factor: 9.492

8.  Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks.

Authors:  Paolo Bosetti; Piero Poletti; Massimo Stella; Bruno Lepri; Stefano Merler; Manlio De Domenico
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-17       Impact factor: 11.205

9.  Characterizing the initial diffusion pattern of pandemic (H1N1) 2009 using surveillance data.

Authors:  Shui Shan Lee; Ngai Sze Wong
Journal:  PLoS Curr       Date:  2010-03-10

10.  Little Italy: an agent-based approach to the estimation of contact patterns- fitting predicted matrices to serological data.

Authors:  Fabrizio Iozzi; Francesco Trusiano; Matteo Chinazzi; Francesco C Billari; Emilio Zagheni; Stefano Merler; Marco Ajelli; Emanuele Del Fava; Piero Manfredi
Journal:  PLoS Comput Biol       Date:  2010-12-02       Impact factor: 4.475

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