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List of bibliographic references indexed by modelling

Number of relevant bibliographic references: 39.
[0-20] [0 - 20][0 - 39][20-38][20-40]
Ident.Authors (with country if any)Title
000141 (2020) Kiesha Prem [Royaume-Uni] ; Yang Liu [Royaume-Uni] ; Timothy W. Russell [Royaume-Uni] ; Adam J. Kucharski [Royaume-Uni] ; Rosalind M. Eggo [Royaume-Uni] ; Nicholas Davies [Royaume-Uni] ; Mark Jit [Royaume-Uni] ; Petra Klepac [Royaume-Uni]The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study
000205 (2020) Jacques Fantini [France] ; Coralie Di Scala [France] ; Henri Chahinian [France] ; Nouara Yahi [France]Structural and molecular modelling studies reveal a new mechanism of action of chloroquine and hydroxychloroquine against SARS-CoV-2 infection.
000440 (2020) Joseph T. Wu [République populaire de Chine] ; Kathy Leung [République populaire de Chine] ; Gabriel M. Leung [République populaire de Chine]Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study
000532 (2020) Joel R. Koo [Singapour] ; Alex R. Cook [Singapour] ; Minah Park [Singapour] ; Yinxiaohe Sun [Singapour] ; Haoyang Sun [Singapour] ; Jue Tao Lim [Singapour] ; Clarence Tam [Singapour, Royaume-Uni] ; Borame L. Dickens [Singapour]Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study
000659 (2020) Shi Zhao [République populaire de Chine] ; Salihu S. Musa ; Qianying Lin ; Jinjun Ran ; Guangpu Yang [République populaire de Chine] ; Weiming Wang [République populaire de Chine] ; Yijun Lou ; Lin Yang ; Daozhou Gao ; Daihai He ; Maggie H. Wang [République populaire de Chine]Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak
000701 (2020) Adam J. Kucharski [Royaume-Uni] ; Timothy W. Russell [Royaume-Uni] ; Charlie Diamond [Royaume-Uni] ; Yang Liu [Royaume-Uni] ; John Edmunds [Royaume-Uni] ; Sebastian Funk [Royaume-Uni] ; Rosalind M. Eggo [Royaume-Uni]Early dynamics of transmission and control of COVID-19: a mathematical modelling study
000F41 (2016) Rui-Xing Ming [République populaire de Chine] ; Jiming Liu [Hong Kong] ; William K. W. Cheung [Hong Kong] ; Xiang Wan [Hong Kong]Stochastic modelling of infectious diseases for heterogeneous populations
000F79 (2016) Li Wang [République populaire de Chine] ; Jinfeng Wang [République populaire de Chine] ; Chengdong Xu [République populaire de Chine] ; Tiejun Liu [République populaire de Chine]Modelling input-output flows of severe acute respiratory syndrome in mainland China
001190 (2016) A. G. Murray [Royaume-Uni]A Modelling Framework for Assessing the Risk of Emerging Diseases Associated with the Use of Cleaner Fish to Control Parasitic Sea Lice on Salmon Farms
001307 (2015) Michael Berry [Afrique du Sud] ; Burtram Fielding [Afrique du Sud] ; Junaid Gamieldien [Afrique du Sud]Human coronavirus OC43 3CL protease and the potential of ML188 as a broad-spectrum lead compound: homology modelling and molecular dynamic studies.
001A82 (2013) Wenbin Wang [République populaire de Chine] ; Ziniu Wu [République populaire de Chine] ; Chunfeng Wang [République populaire de Chine] ; Ruifeng Hu [République populaire de Chine]Modelling the spreading rate of controlled communicable epidemics through an entropy-based thermodynamic model
001B47 (2013) S. Dorjee [Canada] ; Z. Poljak [Canada] ; C. W. Revie [Canada] ; J. Bridgland [Canada] ; B. Mcnab [Canada] ; E. Leger [Canada] ; J. Sanchez [Canada]A Review of Simulation Modelling Approaches Used for the Spread of Zoonotic Influenza Viruses in Animal and Human Populations
002024 (2011) Pei-Yu Liao [États-Unis] ; Yong Seok Choi ; Jonathan D. Dinman ; Kelvin H. LeeThe many paths to frameshifting: kinetic modelling and analysis of the effects of different elongation steps on programmed -1 ribosomal frameshifting.
002707 (2010) Qiuyan Liao [République populaire de Chine] ; Benjamin J. Cowling [République populaire de Chine] ; Wendy Wing Tak Lam [République populaire de Chine] ; Richard Fielding [République populaire de Chine, Hong Kong]The Influence of Social-Cognitive Factors on Personal Hygiene Practices to Protect Against Influenzas: Using Modelling to Compare Avian A/H5N1 and 2009 Pandemic A/H1N1 Influenzas in Hong Kong
002718 (2010) Kim-Hung Kwong [Hong Kong] ; Poh-Chin Lai [Hong Kong]Spatial Components in Disease Modelling
002877 (2010) Andy Fenton [Royaume-Uni] ; Sarah E. Perkins [États-Unis]Applying predator-prey theory to modelling immune-mediated, within-host interspecific parasite interactions
002A60 (2009) Andrea Spallarossa [Italie] ; Sara Cesarini ; Angelo Ranise ; Silvia Schenone ; Olga Bruno ; Alberto Borassi ; Paolo La Colla ; Margherita Pezzullo ; Giuseppina Sanna ; Gabriella Collu ; Barbara Secci ; Roberta LoddoParallel synthesis, molecular modelling and further structure-activity relationship studies of new acylthiocarbamates as potent non-nucleoside HIV-1 reverse transcriptase inhibitors.
002D55 (2009) Modelling the spread of sexually transmitted diseases on scale-free networks
002E44 (2009) H. Hesketh [Royaume-Uni] ; H. E. Roy [Royaume-Uni] ; J. Eilenberg [Danemark] ; J. K. Pell [Royaume-Uni] ; R. S. Hails [Royaume-Uni]Challenges in modelling complexity of fungal entomopathogens in semi-natural populations of insects
002F19 (2009) Andrea Spallarossa [Italie] ; Sara Cesarini [Italie] ; Angelo Ranise [Italie] ; Silvia Schenone [Italie] ; Olga Bruno [Italie] ; Alberto Borassi [Italie] ; Paolo La Colla [Italie] ; Margherita Pezzullo [Italie] ; Giuseppina Sanna [Italie] ; Gabriella Collu [Italie] ; Barbara Secci [Italie] ; Roberta Loddo [Italie]Parallel synthesis, molecular modelling and further structure-activity relationship studies of new acylthiocarbamates as potent non-nucleoside HIV-1 reverse transcriptase inhibitors
002F26 (2009) Ji-Lung Hsieh [Taïwan] ; Chung-Yuan Huang [Taïwan] ; Chuen-Tsai Sun [Taïwan] ; Yu-Shiuan Tsai [Taïwan] ; Gloria Yi-Ming Kao [Taïwan]Learning to build network-oriented epidemic simulation models in epidemiology education : Modelling and simulation education

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