 | Up a level |
Jarvis, Christopher I; Coletti, Pietro; Backer, Jantien A; Munday, James D; Faes, Christel; Beutels, Philippe; Althaus, Christian L; Low, Nicola; Wallinga, Jacco; Hens, Niel; Edmunds, W John (2024). Social contact patterns following the COVID-19 pandemic: a snapshot of post-pandemic behaviour from the CoMix study. Epidemics, 48, p. 100778. Elsevier 10.1016/j.epidem.2024.100778
Jit, Mark; Ainslie, Kylie; Althaus, Christian; Caetano, Constantino; Colizza, Vittoria; Paolotti, Daniela; Beutels, Philippe; Willem, Lander; Edmunds, John; Nunes, Baltazar; Namorado, Sónia; Faes, Christel; Low, Nicola; Wallinga, Jacco; Hens, Niel (2023). Reflections On Epidemiological Modeling To Inform Policy During The COVID-19 Pandemic In Western Europe, 2020-23. Health affairs, 42(12), pp. 1630-1636. Project Hope 10.1377/hlthaff.2023.00688
Wong, Kerry L M; Gimma, Amy; Coletti, Pietro; CoMix, European Working Group; Faes, Christel; Beutels, Philippe; Hens, Niel; Jaeger, Veronika K; Karch, Andre; Johnson, Helen; Edmunds, WJohn; Jarvis, Christopher I (2023). Social contact patterns during the COVID-19 pandemic in 21 European countries - evidence from a two-year study. BMC infectious diseases, 23(1), p. 268. BioMed Central 10.1186/s12879-023-08214-y
Gressani, Oswaldo; Wallinga, Jacco; Althaus, Christian L; Hens, Niel; Faes, Christel (2022). EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number. PLoS computational biology, 18(10), e1010618. Public Library of Science 10.1371/journal.pcbi.1010618
Wong, Kerry L M; Gimma, Amy; Paixao, Enny S; Faes, Christel; Beutels, Philippe; Hens, Niel; Jarvis, Christopher I; Edmunds, W John (2022). Pregnancy during COVID-19: social contact patterns and vaccine coverage of pregnant women from CoMix in 19 European countries. BMC pregnancy and childbirth, 22(1), p. 757. BioMed Central 10.1186/s12884-022-05076-1
Kremer, Cécile; Torneri, Andrea; Boesmans, Sien; Meuwissen, Hanne; Verdonschot, Selina; Vanden Driessche, Koen; Althaus, Christian L.; Faes, Christel; Hens, Niel (2021). Quantifying superspreading for COVID-19 using Poisson mixture distributions. Scientific reports, 11(1), p. 14107. Springer Nature 10.1038/s41598-021-93578-x
