Efficient estimation of age-specific social contact rates between men and women

Kassteele, Jan van de; Eijkeren, Jan van; Wallinga, Jacco

doi:10.1214/16-aoas1006

Cited by 43 publications

(78 citation statements)

References 38 publications

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“…More details on number of social contact surveys in each of these countries are shown in the global map (see S7 Fig). Only 14 studies were conducted at the wholecountry level 4,11,12,24,26,30,35,36 , whereas remaining studies focused on a region 10,32,33,37,39,41,45 , a city/town 3,34,38,40,49 or a specific setting (school/university, health care facility, etc.) and were therefore not representative of the entire country.…”

Section: Resultsmentioning

confidence: 99%

“…Of these, there were only 4 household-based surveys that asked every member of each participating household to complete the survey 12,33,37,42 , whereas in other surveys only one person in each participating household was asked to participate. The majority of surveys conducted in the general population aimed at people of all ages (65%) 4,10,12,[24][25][26][30][31][32][34][35][36][37][38][40][41][42]45 . In contrast, two surveys excluded infants younger than one year 3 , and one excluded children less than two years 33 .…”

Section: Study Settings and Subjectsmentioning

confidence: 99%

“…Specifically, males between 60 and 90 years of age are more likely to appear in the sample, compared with the population distribution; one-and two-person households are overrepresented. Twenty surveys determined sampling weights based on demographic characteristics of the populations to reduce the effects of sample bias 4,[9][10][11]23,24,30,[34][35][36][37][38][39]49 .…”

Section: Sample Size and Response Ratementioning

confidence: 99%

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A systematic review of social contact surveys to inform transmission models of close contact infections

Hoang

Coletti

Melegaro

et al. 2018

Preprint

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101

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Social contact data are increasingly being used to inform models for infectious disease spread with the aim of guiding effective policies on disease prevention and control. In this paper, we undertake a systematic review of the study design, statistical analyses and outcomes of the many social contact surveys that have been published. Our primary focus is to identify the designs that have worked best and the most important determinants and to highlight the most robust findings. Two publicly accessible online databases were systematically searched for articles regarding social contact surveys. PRISMA guidelines were followed as closely as possible. In total, 64 social contact surveys were identified. These surveys were conducted in 24 countries, and more than 80% of the surveys were conducted in high-income countries. Study settings included general population (58%), schools/universities (37%) and health care/conference/research institutes (5%). The majority of studies did not focus on a specific age group (38%), whereas others focused on adults (32%) or children (19%). Retrospective and prospective designs were used mostly (45% and 41% of the surveys, respectively) with 6% using both for comparison purposes. The definition of a contact varied among surveys, e.g. a non-physical contact may require conversation, 1. CC-BY-NC-ND 4.0 International license It is made available under a (which was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint . http://dx.doi.org/10.1101/292235 doi: bioRxiv preprint first posted online Mar. 31, 2018; close proximity or both. Age, time schedule (e.g., weekday/weekend) and household size were identified as relevant determinants for contact pattern across a large number of studies. The surveys present a wide range of study designs. Throughout, we found that the overall contact patterns were remarkably robust for the study details. By considering the most common approach in each aspect of design (e.g., sampling schemes, data collection, definition of contact), we could identify a common practice approach that can be used to facilitate comparison between studies and for benchmarking future studies.

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Section: Resultsmentioning

confidence: 99%

Section: Study Settings and Subjectsmentioning

confidence: 99%

Section: Sample Size and Response Ratementioning

confidence: 99%

See 1 more Smart Citation

A systematic review of social contact surveys to inform transmission models of close contact infections

Hoang

Coletti

Melegaro

et al. 2018

Preprint

Self Cite

101

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show abstract

“…In this paper, the contact rates are assumed indifferent for men and women. Recently, van de Kassteele et al (2017) presented a Bayesian model for estimating social contact rates for men and women. Their results reveal that different contact patterns exist between men and women.…”

Section: Discussionmentioning

confidence: 99%

“…For smoothing purposes, but in addition to ensure enough flexibility, a bivariate smoothing approach (within the likelihood framework) is undertaken using a tensor product spline as a function of the respondent's and contact's age as a smooth interaction term (Mossong et al, 2008;Hens et al, 2009;Goeyvaerts et al, 2010). Recently, also hierarchical Bayesian models have been used for social contact rates estimation (van de Kassteele et al, 2017). When estimating the social contact rates, the reciprocal nature of contacts needs to be taken into account (which means that the total number of contacts on the population level from age i to age j must equal the total number of contacts from age j to age i) and this will be achieved by the proposed method.…”

Section: Introductionmentioning

confidence: 99%

Cohort-based smoothing methods for age-specific contact rates

Vandendijck

Camarda

Hens

2018

Preprint

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The use of social contact rates is widespread in infectious disease modelling, since it is known that they provide proxies of crucial determinants of epidemiological and disease transmission parameters. Information on social contact rates can, for example, be obtained from a population-based contact diary survey, such as the POLYMOD study. Estimation of age-specific contact rates from these studies is often done using bivariate smoothing techniques. Typically, smoothing is done in the dimensions of the respondent's and contact's age. In this paper, we introduce a smoothing constrained approach -taking into account the reciprocal nature of contacts -where the contact rates are assumed smooth from a cohort perspective as well as from the age distribution of contacts. This is achieved by smoothing over the diagonal components (including all subdiagonals) of the social contact matrix. This approach is supported by the fact that people age with time and thus contact rates should vary smoothly by cohorts. Two approaches that allow for smoothing of social contact data over cohorts are proposed:(1) reordening of the diagonal components of the social contact rate matrix; and (2) reordening of the penalty matrix associated with the diagonal components. Parameter estimation is done using constrained penalized iterative reweighted least squares. A simulation study is presented to compare methods. The proposed methods are illustrated on the Belgian POLYMOD data of 2006.

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Design and Analysis of Social Contact Surveys Relevant for the Spread of Infectious Diseases

Hens

Wallinga

2019

Wiley StatsRef: Statistics Reference Online

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To understand how infections spread through a population, it is crucial to have a correct description of the transmission network. However, it is often impossible to observe transmission of infection directly. To compensate for this lack of direct observations on the structure of the transmission network, we can use information on the social contact network obtained from sociological surveys asking people how frequently they experience at risk events for transmission. We focus on those studies that collect data on at‐risk contacts for infection using proxy measures such as having a conversation or touching. There are relatively few approaches to statistical analysis of such social contact data sets. Here we provide an overview of methods used to estimate contact rates by age from social contact data. For two methods we show how this is done using the statistical software R.

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Efficient estimation of age-specific social contact rates between men and women

Cited by 43 publications

References 38 publications

A systematic review of social contact surveys to inform transmission models of close contact infections

A systematic review of social contact surveys to inform transmission models of close contact infections

Cohort-based smoothing methods for age-specific contact rates

Design and Analysis of Social Contact Surveys Relevant for the Spread of Infectious Diseases

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