Online citations, reference lists, and bibliographies.
Referencing for people who value simplicity, privacy, and speed.
Get Citationsy
← Back to Search

Using Data On Social Contacts To Estimate Age-specific Transmission Parameters For Respiratory-spread Infectious Agents.

J. Wallinga, P. Teunis, M. Kretzschmar
Published 2006 · Medicine, Physics

Save to my Library
Download PDF
Analyze on Scholarcy Visualize in Litmaps
Reduce the time it takes to create your bibliography by a factor of 10 by using the world’s favourite reference manager
Time to take this seriously.
Get Citationsy
The estimation of transmission parameters has been problematic for diseases that rely predominantly on transmission of pathogens from person to person through small infectious droplets. Age-specific transmission parameters determine how such respiratory agents will spread among different age groups in a human population. Estimating the values of these parameters is essential in planning an effective response to potentially devastating pandemics of smallpox or influenza and in designing control strategies for diseases such as measles or mumps. In this study, the authors estimated age-specific transmission parameters by augmenting infectious disease data with auxiliary data on self-reported numbers of conversational partners per person. They show that models that use transmission parameters based on these self-reported social contacts are better able to capture the observed patterns of infection of endemically circulating mumps, as well as observed patterns of spread of pandemic influenza. The estimated age-specific transmission parameters suggested that school-aged children and young adults will experience the highest incidence of infection and will contribute most to further spread of infections during the initial phase of an emerging respiratory-spread epidemic in a completely susceptible population. These findings have important implications for controlling future outbreaks of novel respiratory-spread infectious agents.
This paper references
Mumps, measles and rubella, a longitudinal serological study into degree of protection and risk of infection
JAM Van Druten (1990)
Models for Infectious Human Diseases: Modeling heterogeneous mixing in infectious disease dynamics
H. Hethcote (1996)
Social network analysis - methods and applications
S. Wasserman (2007)
Nonparticipation in a population-based seroprevalence study of vaccine-preventable diseases
H DeMelker (2000)
Infectious Diseases of Humans: Dynamics and Control
R. Anderson (1991)
Results of contact examination in Rotterdam, 1967-1969.
H. V. van Geuns (1975)
Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections
W. Edmunds (1997)
Containing Pandemic Influenza at the Source
I. Longini (2005)
Comparison of a neutralization enzyme immunoassay and an enzyme-linked immunosorbent assay for evaluation of immune status of children vaccinated for mumps.
T. Harmsen (1992)
Containing pandemic influenza with antiviral agents.
I. Longini (2004)
A study of illness in a group of Cleveland families. XVII. The occurrence of Asian influenza.
W. S. Jordan (1958)
Perspective: human contact patterns and the spread of airborne infectious diseases.
J. Wallinga (1999)
Control of communicable diseases.
S. E. Miller (1949)
Strategies for containing an emerging influenza pandemic in Southeast Asia
N. Ferguson (2005)
Modelling disease outbreaks in realistic urban social networks
S. Eubank (2004)
An age-structured model of pre- and post-vaccination measles transmission.
D. Schenzle (1984)
On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations
O. Diekmann (1990)
Control of Communicable Diseases Manual
D. Heymann (2004)
Epidemiologic Determinants for Modeling Pneumonic Plague Outbreaks
R. Gani (2004)
A study of illness in a group of Cleveland families. XXII. Antibodies to Toxoplasma gondii in 40 families observed for ten years.
K. Warren (1966)
Containing Bioterrorist Smallpox
M. Halloran (2002)
Estimating the Dimension of a Model
G. Schwarz (1978)
Estimation of the basic reproduction number for infectious diseases from age‐stratified serological survey data
C. Farrington (2001)
Estimation of measles reproduction ratios and prospects for elimination of measles by vaccination in some Western European countries
J. Wallinga (2001)
parison of a neutralization enzyme immunoassay and an enzyme - linked immunosorbent assay for evaluation of immune status of children vaccinated for mumps
T Harmsen (1992)
A log-linear modeling framework for selective mixing.
M. Morris (1991)
Experience with influenza vaccination in Iceland, 1957.
J. Sigurjonsson (1959)
Matrix models for childhood infections: a Bayesian approach with applications to rubella and mumps
M. Kanaan (2005)
Models for Infectious Human Diseases: Their Structure and Relation to Data
R. Lyerla (1996)
Public Health Risk from the Avian H5N1 Influenza Epidemic
N. Ferguson (2004)
Modeling heterogeneous mixing in infectious disease
HW Hethcote (1996)
Informant accuracy in social-network data V. An experimental attempt to predict actual communication from recall data☆
H. Bernard (1982)
Experience with influenza vaccination
J Sigurjonsson (1957)
Planning for smallpox outbreaks
N. Ferguson (2003)
Summary report on the Asian influenza epidemic in Japan, 1957.
H. Fukumi (1959)
Geographic spread of measles on the island of Dominica, West Indies.
L. Sattenspiel (1993)
Non-participation in a population-based seroprevalence study of vaccine-preventable diseases
H. D. de Melker (2000)
Age-related changes in the rate of disease transmission: implications for the design of vaccination programmes.
R. Anderson (1985)

This paper is referenced by
Multiple Lattice Model for Influenza Spreading
A. Liccardo (2015)
Models for managing the impact of an influenza epidemic
D. Bienstock (2012)
Food- and water-borne disease: using case control studies to estimate the force of infection that accounts for primary, sporadic cases.
G. Smith (2013)
Vaccine Induced Herd Immunity for Control of Respiratory Syncytial Virus Disease in a Low-Income Country Setting
T. Kinyanjui (2015)
The Effects of School Closures on Influenza Outbreaks and Pandemics: Systematic Review of Simulation Studies
C. Jackson (2014)
Influence of social contact patterns and demographic factors on influenza simulation results
R. Schmidt-Ott (2016)
Risk stratification in compartmental epidemic models: Where to draw the line?
Sze-chuan Suen (2017)
Forecasting based on surveillance data
L. Held (2020)
Modeling individual heterogeneity in the acquisition of recurrent infections: an application to parvovirus B19.
S. Abrams (2015)
Enfoque de los sistemas complejos en la epidemiología: [revisión]
B. JoséABetancourt (2009)
Finding the probability of infection in an SIR network is NP-Hard.
M. Shapiro (2012)
Dynamics and control of infections transmitted from person to person through the environment.
S. Li (2009)
Estimating the impact of school closure on social mixing behaviour and the transmission of close contact infections in eight European countries
N. Hens (2009)
Lattice Model for Influenza Spreading with Spontaneous Behavioral Changes
A. Fierro (2013)
Mirjam Kretzschmar (2007)
Contact Profiles in Eight European Countries and Implications for Modelling the Spread of Airborne Infectious Diseases
M. Kretzschmar (2009)
Full title: Identifying Human Encounters that Shape the Transmission of Streptococcus
Olivier (2017)
On the relative role of different age groups during influenza A epidemics in Germany, 2002-2017
E. Goldstein (2017)
Investment decisions in influenza pandemic contingency planning: cost-effectiveness of stockpiling antiviral drugs
A. Lugnér (2009)
Social mixing patterns in rural and urban areas of southern China
J. Read (2014)
Metapopulation epidemic models with heterogeneous mixing and travel behaviour
A. Apolloni (2013)
Estimation of basic reproduction numbers: individual heterogeneity and robustness to perturbation of the contact function.
C. Farrington (2013)
Patterns of human social contact and contact with animals in Shanghai, China
J. Zhang (2019)
Epidemic Spread on Weighted Networks
C. Kamp (2013)
Modeling optimal treatment strategies in a heterogeneous mixing model
Seoyun Choe (2015)
Dynamics of infectious disease transmission by inhalable respiratory droplets
N. Stilianakis (2010)
Dynamic pricing strategy to optimally allocate vaccines
M. Gasser (2012)
The Final Size of an Epidemic and Its Relation to the Basic Reproduction Number
V. Andreasen (2011)
The Shifting Demographic Landscape of Pandemic Influenza
S. Bansal (2010)
Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic
Jude Bayham (2015)
Early detection and control of potential pandemics.
Shengpeng Jin (2011)
Avian, inter-pandemic, and pandemic influenza in Vietnam
P. Horby (2012)
See more
Semantic Scholar Logo Some data provided by SemanticScholar