ArticleBiostatistics (Oxford, England)2017
Incorporating social contact data in spatio-temporal models for infectious disease spread.
Article in Biostatistics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Intraindividual variability in non-household contacts: a German longitudinal study, April 2020-December 2021.BMC infectious diseases · 2026Article
- Capturing the spatiotemporal spread of COVID-19 in 30 European countries during 2020 - 2022.BMC public health · 2025Article
- Modeling sparse Rift Valley fever incidence data: a Bayesian perspective on zero-inflated self-exciting and autoregressive models.BMC infectious diseases · 2025Article
- Exploring RSV Transmission Patterns in Different Age Groups in the United States.The Journal of infectious diseases · 2025Article
- Endemic-epidemic modelling of school closure to prevent spread of COVID-19 in Switzerland.BMC infectious diseases · 2024Article
- Review
- Predicting subnational incidence of COVID-19 cases and deaths in EU countries.BMC infectious diseases · 2024Article
- Landscape-Scale Epidemiological Dynamics of SARS-CoV-2 in White-Tailed Deer.Transboundary and emerging diseases · 2024Article
- Comparison of statistical approaches to predicting norovirus laboratory reports before and during COVID-19: insights to inform public health surveillance.Scientific reports · 2023Article
- Association between pertussis vaccination coverage and other sociodemographic factors and pertussis incidence using surveillance data.Epidemics · 2023Article
- The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021.BMC infectious diseases · 2023Article
- Exploring human mixing patterns based on time use and social contact data and their implications for infectious disease transmission models.BMC infectious diseases · 2022Article
- Assessing the effect of school closures on the spread of COVID-19 in Zurich.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2022Article
- Measles epidemic in Southern Vietnam: an age-stratified spatio-temporal model for infectious disease counts.Epidemiology and infection · 2022Article
- Extended Bayesian endemic-epidemic models to incorporate mobility data into COVID-19 forecasting.The Canadian journal of statistics = Revue canadienne de statistique · 2022Article
- On the interplay of regional mobility, social connectedness and the spread of COVID-19 in Germany.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2022Article
- An endemic-epidemic beta model for time series of infectious disease proportions.Journal of applied statistics · 2022Article
- Understanding norovirus reporting patterns in England: a mixed model approach.BMC public health · 2021Article
- The geography of COVID-19 and the structure of local economies: The case of Italy.Journal of regional science · 2021Article
- Simulation of the COVID-19 epidemic on the social network of Slovenia: Estimating the intrinsic forecast uncertainty.PloS one · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Routine public health surveillance of notifiable infectious diseases gives rise to weekly counts of reported cases-possibly stratified by region and/or age group. We investigate how an age-structured social contact matrix can be incorporated into a spatio-temporal endemic-epidemic model for infectious disease counts. To illustrate the approach, we analyze the spread of norovirus gastroenteritis over six age groups within the 12 districts of Berlin, 2011-2015, using contact data from the POLYMOD study. The proposed age-structured model outperforms alternative scenarios with homogeneous or no mixing between age groups. An extended contact model suggests a power transformation of the survey-based contact matrix toward more within-group transmission.
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