Contact network structure explains the changing epidemiology of pertussis.
about
The pertussis enigma: reconciling epidemiology, immunology and evolutionPertussis models to inform vaccine policyPertussis immunity and epidemiology: mode and duration of vaccine-induced immunity.An evidence synthesis approach to estimating the incidence of symptomatic pertussis infection in the Netherlands, 2005-2011.Inferring the structure of social contacts from demographic data in the analysis of infectious diseases spreadMetapopulation epidemic models with heterogeneous mixing and travel behaviour.Pertussis: Microbiology, Disease, Treatment, and Prevention.Transmission dynamics: critical questions and challenges.The contribution of social behaviour to the transmission of influenza A in a human population.Infectious disease modeling methods as tools for informing response to novel influenza viruses of unknown pandemic potential.Modelling the long-term dynamics of pre-vaccination pertussis.Improving the modeling of disease data from the government surveillance system: a case study on malaria in the Brazilian AmazonIncorporating social contact data in spatio-temporal models for infectious disease spreadImmune boosting explains regime-shifts in prevaccine-era pertussis dynamics.Characterization of a Bvg-regulated fatty acid methyl-transferase in Bordetella pertussis.Network epidemiology and plant trade networksStructured models of infectious disease: inference with discrete data.Measured dynamic social contact patterns explain the spread of H1N1v influenzaResolving pertussis immunity and vaccine effectiveness using incidence time series.Deciphering the impacts of vaccination and immunity on pertussis epidemiology in Thailand.Understanding metropolitan patterns of daily encountersPertussis circulation has increased T-cell immunity during childhood more than a second acellular booster vaccination in Dutch children 9 years of age.Bordetella pertussis pathogenesis: current and future challenges.Detecting differential transmissibilities that affect the size of self-limited outbreaks.Close encounters of the infectious kind: methods to measure social mixing behaviour.Boosting understanding of pertussis outbreaks.The social life of infants in the context of infectious disease transmission; social contacts and mixing patterns of the very young.Combating pertussis resurgence: One booster vaccination schedule does not fit allEstimating the risk of parvovirus B19 infection in blood donors and pregnant women in Japan.A change in vaccine efficacy and duration of protection explains recent rises in pertussis incidence in the United States.Inferring a district-based hierarchical structure of social contacts from census data.Short-lived immunity against pertussis, age-specific routes of transmission, and the utility of a teenage booster vaccine.The French Connection: The First Large Population-Based Contact Survey in France Relevant for the Spread of Infectious Diseases.Vaccine Induced Herd Immunity for Control of Respiratory Syncytial Virus Disease in a Low-Income Country Setting.Edge-based compartmental modelling for infectious disease spread.Global circulation patterns of seasonal influenza viruses vary with antigenic drift.Examining the role of different age groups, and of vaccination during the 2012 Minnesota pertussis outbreakOrgan-to-Cell-Scale Health Assessment Using Geographical Information System Approaches with Multibeam Scanning Electron Microscopy.Using age-stratified incidence data to examine the transmission consequences of pertussis vaccination.Age patterns and transmission characteristics of hand, foot and mouth disease in China.
P2860
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P2860
Contact network structure explains the changing epidemiology of pertussis.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Contact network structure explains the changing epidemiology of pertussis.
@en
Contact network structure explains the changing epidemiology of pertussis.
@nl
type
label
Contact network structure explains the changing epidemiology of pertussis.
@en
Contact network structure explains the changing epidemiology of pertussis.
@nl
prefLabel
Contact network structure explains the changing epidemiology of pertussis.
@en
Contact network structure explains the changing epidemiology of pertussis.
@nl
P2860
P356
P1433
P1476
Contact network structure explains the changing epidemiology of pertussis.
@en
P2093
Pejman Rohani
P2860
P304
P356
10.1126/SCIENCE.1194134
P407
P577
2010-11-01T00:00:00Z