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Showing content from https://pubmed.ncbi.nlm.nih.gov/18366252/ below:

Social contacts and mixing patterns relevant to the spread of infectious diseases

doi: 10.1371/journal.pmed.0050074. Social contacts and mixing patterns relevant to the spread of infectious diseases Niel Hens, Mark Jit, Philippe Beutels, Kari Auranen, Rafael Mikolajczyk, Marco Massari, Stefania Salmaso, Gianpaolo Scalia Tomba, Jacco Wallinga, Janneke Heijne, Malgorzata Sadkowska-Todys, Magdalena Rosinska, W John Edmunds

Affiliations

Affiliation

¹ Microbiology Unit, Laboratoire National de Santé, Luxembourg, Luxembourg. joel.mossong@lns.etat.lu

PMID: 18366252
PMCID: PMC2270306
DOI: 10.1371/journal.pmed.0050074

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Social contacts and mixing patterns relevant to the spread of infectious diseases

Joël Mossong et al. PLoS Med. 2008.

doi: 10.1371/journal.pmed.0050074. Authors Joël Mossong¹, Niel Hens, Mark Jit, Philippe Beutels, Kari Auranen, Rafael Mikolajczyk, Marco Massari, Stefania Salmaso, Gianpaolo Scalia Tomba, Jacco Wallinga, Janneke Heijne, Malgorzata Sadkowska-Todys, Magdalena Rosinska, W John Edmunds Affiliation

¹ Microbiology Unit, Laboratoire National de Santé, Luxembourg, Luxembourg. joel.mossong@lns.etat.lu

PMID: 18366252
PMCID: PMC2270306
DOI: 10.1371/journal.pmed.0050074

Item in Clipboard

Abstract

Background: Mathematical modelling of infectious diseases transmitted by the respiratory or close-contact route (e.g., pandemic influenza) is increasingly being used to determine the impact of possible interventions. Although mixing patterns are known to be crucial determinants for model outcome, researchers often rely on a priori contact assumptions with little or no empirical basis. We conducted a population-based prospective survey of mixing patterns in eight European countries using a common paper-diary methodology.

Methods and findings: 7,290 participants recorded characteristics of 97,904 contacts with different individuals during one day, including age, sex, location, duration, frequency, and occurrence of physical contact. We found that mixing patterns and contact characteristics were remarkably similar across different European countries. Contact patterns were highly assortative with age: schoolchildren and young adults in particular tended to mix with people of the same age. Contacts lasting at least one hour or occurring on a daily basis mostly involved physical contact, while short duration and infrequent contacts tended to be nonphysical. Contacts at home, school, or leisure were more likely to be physical than contacts at the workplace or while travelling. Preliminary modelling indicates that 5- to 19-year-olds are expected to suffer the highest incidence during the initial epidemic phase of an emerging infection transmitted through social contacts measured here when the population is completely susceptible.

Conclusions: To our knowledge, our study provides the first large-scale quantitative approach to contact patterns relevant for infections transmitted by the respiratory or close-contact route, and the results should lead to improved parameterisation of mathematical models used to design control strategies.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures
Figure 1. The Mean Proportion of Contacts…

Figure 1. The Mean Proportion of Contacts That Involved Physical Contact, by Duration, Frequency, and…
Figure 1. The Mean Proportion of Contacts That Involved Physical Contact, by Duration, Frequency, and Location of Contact in All Countries

Graphs show data by (A) duration, (B) location, and (C) frequency of contact; the correlation between duration and frequency of contact is shown in (D). All correlations are highly significant (p < 0.001, χ²-test). The figures are based on pooled contact data from all eight countries and weighted according to sampling weights as explained in the Methods (based on household size and age).

Figure 2. The Distribution by Location and…

Figure 2. The Distribution by Location and by Country of (A) All Reported Contacts and…
Figure 2. The Distribution by Location and by Country of (A) All Reported Contacts and (B) Physical Contacts Only

Sampling weights were used for each country. “Other” refers to contacts made at locations other than home, work, school, travel, or leisure. “Multiple” refers to the fact that the person was contacted during the day in multiple locations, not just a single location.

Figure 3. Smoothed Contact Matrices for Each…

Figure 3. Smoothed Contact Matrices for Each Country Based on (A) All Reported Contacts and…
Figure 3. Smoothed Contact Matrices for Each Country Based on (A) All Reported Contacts and (B) Physical Contacts Weighted by Sampling Weights

White indicates high contact rates, green intermediate contact rates, and blue low contact rates, relative to the country-specific contact intensity. Fitting is based on a tensor-product spline to contact matrix data using a negative binomial distribution to account for overdispersion.

Figure 4. Relative Incidence of a New…

Figure 4. Relative Incidence of a New Emerging Infection in a Completely Susceptible Population, When…
Figure 4. Relative Incidence of a New Emerging Infection in a Completely Susceptible Population, When the Infection Is Spread between and within Age Groups by the Contacts as Observed in Figure 3

For each country, we monitored incidence five generations of infection after the introduction of a single infected individual in the 65–70 age group; the incidence is normalized such that height of all bars sums to one for each country. (A) Results for all reported contacts; (B) for physical contacts only.