Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020 T Ganyani, C Kremer, D Chen, A Torneri, C Faes, J Wallinga, N Hens Eurosurveillance 25 (17), 2000257, 2020 | 769 | 2020 |
A prospect on the use of antiviral drugs to control local outbreaks of COVID-19 A Torneri, P Libin, J Vanderlocht, AM Vandamme, J Neyts, N Hens BMC medicine 18, 1-9, 2020 | 57 | 2020 |
Household members do not contact each other at random: implications for infectious disease modelling N Goeyvaerts, E Santermans, G Potter, A Torneri, K Van Kerckhove, ... Proceedings of the Royal Society B 285 (1893), 20182201, 2018 | 50 | 2018 |
Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics PJK Libin, L Willem, T Verstraeten, A Torneri, J Vanderlocht, N Hens PLoS computational biology 17 (3), e1008688, 2021 | 38 | 2021 |
Quantifying superspreading for COVID-19 using Poisson mixture distributions C Kremer, A Torneri, S Boesmans, H Meuwissen, S Verdonschot, ... Scientific reports 11 (1), 14107, 2021 | 29 | 2021 |
Serial intervals for SARS-CoV-2 omicron and delta variants, Belgium, November 19–December 31, 2021 C Kremer, T Braeye, K Proesmans, E André, A Torneri, N Hens Emerging infectious diseases 28 (8), 1699, 2022 | 23 | 2022 |
On realized serial and generation intervals given control measures: The COVID-19 pandemic case A Torneri, P Libin, G Scalia Tomba, C Faes, JG Wood, N Hens PLoS computational biology 17 (3), e1008892, 2021 | 20 | 2021 |
Authors’ response: Estimating the generation interval for COVID-19 based on symptom onset data C Kremer, T Ganyani, D Chen, A Torneri, C Faes, J Wallinga, N Hens Eurosurveillance 25 (29), 2001269, 2020 | 16 | 2020 |
A tale of three recent pandemics: influenza, HIV and SARS-CoV-2 MNS Miranda, M Pingarilho, V Pimentel, A Torneri, SG Seabra, PJK Libin, ... Frontiers in Microbiology 13, 889643, 2022 | 15 | 2022 |
Controlling SARS-CoV-2 in schools using repetitive testing strategies A Torneri, L Willem, V Colizza, C Kremer, C Meuris, G Darcis, N Hens, ... Elife 11, e75593, 2022 | 10 | 2022 |
Estimating the generation interval for COVID-19 based on symptom onset data [Pre-print] T Ganyani, C Kremer, D Chen medRxiv, 2020 | 5 | 2020 |
Realized generation times: contraction and impact of infectious period, reproduction number and population size A Torneri, A Azmon, C Faes, E Kenah, GS Tomba, J Wallinga, N Hens bioRxiv, 568485, 2019 | 4 | 2019 |
Different forms of superspreading lead to different outcomes: heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2 EJ Kuylen, A Torneri, L Willem, PJK Libin, S Abrams, P Coletti, N Franco, ... PloS Computational Biology 18 (8), e1009980, 2022 | 2 | 2022 |
Repetition in Social Contact Interactions: Implications in Modelling the Transmission of Respiratory Infectious Diseases in Pre-pandemic & Pandemic Settings N Loedy, J Wallinga, N Hens, A Torneri medRxiv, 2024.02. 09.24302560, 2024 | 1 | 2024 |
Reconstruction of SARS-CoV-2 outbreaks in a primary school using epidemiological and genomic data C Kremer, A Torneri, PJK Libin, C Meex, MP Hayette, S Bontems, ... Epidemics 44, 100701, 2023 | 1 | 2023 |
Repetition in social contacts: implications in modelling the transmission of respiratory infectious diseases in pre-pandemic and pandemic settings N Loedy, J Wallinga, N Hens, A Torneri Proceedings B 291 (2027), 20241296, 2024 | | 2024 |
Flexible Bayesian estimation of incubation times O Gressani, A Torneri, N Hens, C Faes American Journal of Epidemiology, kwae192, 2024 | | 2024 |
The impact of quality-adjusted life years on evaluating COVID-19 mitigation strategies: lessons from age-specific vaccination roll-out and variants of concern in Belgium (2020 … L Willem, S Abrams, N Franco, P Coletti, PJK Libin, J Wambua, ... BMC public health 24 (1), 1171, 2024 | | 2024 |
Quantifying superspreading for COVID-19 using Poisson mixture distributions: Supplementary Information C Kremer, A Torneri, S Boesmans, H Meuwissen, S Verdonschot, ... | | |