[HTML][HTML] Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era

K Prem, K Zandvoort, P Klepac, RM Eggo… - PLoS computational …, 2021 - journals.plos.org
Mathematical models have played a key role in understanding the spread of directly-
transmissible infectious diseases such as Coronavirus Disease 2019 (COVID-19), as well as …

[PDF][PDF] Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group. 2021 Projecting contact matrices in 177 geographical regions: an …

K Prem, Z Kv, P Klepac, R Eggo, N Davies - PLoS Comput Biol, 2021 - journals.plos.org
Mathematical models have played a key role in understanding the spread of directly-
transmissible infectious diseases such as Coronavirus Disease 2019 (COVID-19), as well as …

[HTML][HTML] SOCRATES-CoMix: a platform for timely and open-source contact mixing data during and in between COVID-19 surges and interventions in over 20 …

F Verelst, L Hermans, S Vercruysse, A Gimma, P Coletti… - BMC medicine, 2021 - Springer
Background SARS-CoV-2 dynamics are driven by human behaviour. Social contact data are
of utmost importance in the context of transmission models of close-contact infections …

[HTML][HTML] Projecting social contact matrices in 152 countries using contact surveys and demographic data

K Prem, AR Cook, M Jit - PLoS computational biology, 2017 - journals.plos.org
Heterogeneities in contact networks have a major effect in determining whether a pathogen
can become epidemic or persist at endemic levels. Epidemic models that determine which …

[HTML][HTML] Inferring high-resolution human mixing patterns for disease modeling

D Mistry, M Litvinova, A Pastore y Piontti… - Nature …, 2021 - nature.com
Mathematical and computational modeling approaches are increasingly used as
quantitative tools in the analysis and forecasting of infectious disease epidemics. The …

[HTML][HTML] Inferring the structure of social contacts from demographic data in the analysis of infectious diseases spread

L Fumanelli, M Ajelli, P Manfredi, A Vespignani… - 2012 - journals.plos.org
Social contact patterns among individuals encode the transmission route of infectious
diseases and are a key ingredient in the realistic characterization and modeling of …

[HTML][HTML] What are the underlying transmission patterns of COVID-19 outbreak? An age-specific social contact characterization

Y Liu, Z Gu, S Xia, B Shi, XN Zhou, Y Shi, J Liu - EClinicalMedicine, 2020 - thelancet.com
Background COVID-19 has spread to 6 continents. Now is opportune to gain a deeper
understanding of what may have happened. The findings can help inform mitigation …

[HTML][HTML] Projecting social contact matrices to different demographic structures

S Arregui, A Aleta, J Sanz… - PLoS computational …, 2018 - journals.plos.org
The modeling of large-scale communicable epidemics has greatly benefited in the last years
from the increasing availability of highly detailed data. Particullarly, in order to achieve …

Predicting the second wave of COVID-19 in Washtenaw County, MI

M Renardy, M Eisenberg, D Kirschner - Journal of theoretical biology, 2020 - Elsevier
The COVID-19 pandemic has highlighted the patchwork nature of disease epidemics, with
infection spread dynamics varying wildly across countries and across states within the US …

[HTML][HTML] Little Italy: an agent-based approach to the estimation of contact patterns-fitting predicted matrices to serological data

F Iozzi, F Trusiano, M Chinazzi, FC Billari… - PLoS computational …, 2010 - journals.plos.org
Knowledge of social contact patterns still represents the most critical step for understanding
the spread of directly transmitted infections. Data on social contact patterns are, however …