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Articles published in PLoS Comput Biol

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    January 2021
  1. LEE BY, Bartsch SM, Ferguson MC, Wedlock PT, et al
    The value of decreasing the duration of the infectious period of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.
    PLoS Comput Biol. 2021;17:e1008470.
    PubMed     Abstract available


    December 2020
  2. GOSTIC KM, McGough L, Baskerville EB, Abbott S, et al
    Practical considerations for measuring the effective reproductive number, Rt.
    PLoS Comput Biol. 2020;16:e1008409.
    PubMed     Abstract available


  3. CATALA M, Alonso S, Alvarez-Lacalle E, Lopez D, et al
    Empirical model for short-time prediction of COVID-19 spreading.
    PLoS Comput Biol. 2020;16:e1008431.
    PubMed     Abstract available


  4. RODRIGUES JPGLM, Barrera-Vilarmau S, M C Teixeira J, Sorokina M, et al
    Insights on cross-species transmission of SARS-CoV-2 from structural modeling.
    PLoS Comput Biol. 2020;16:e1008449.
    PubMed     Abstract available


  5. ANDERSON SC, Edwards AM, Yerlanov M, Mulberry N, et al
    Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing.
    PLoS Comput Biol. 2020;16:e1008274.
    PubMed     Abstract available


  6. ZHANG H, Yang Y, Li J, Wang M, et al
    A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro.
    PLoS Comput Biol. 2020;16:e1008489.
    PubMed     Abstract available


  7. RICH S, Diaconescu AO, Griffiths JD, Lankarany M, et al
    Ten simple rules for creating a brand-new virtual academic meeting (even amid a pandemic).
    PLoS Comput Biol. 2020;16:e1008485.
    PubMed     Abstract available


  8. PADMANABHAN P, Desikan R, Dixit NM
    Targeting TMPRSS2 and Cathepsin B/L together may be synergistic against SARS-CoV-2 infection.
    PLoS Comput Biol. 2020;16:e1008461.
    PubMed     Abstract available


  9. DELGADO BLANCO J, Hernandez-Alias X, Cianferoni D, Serrano L, et al
    In silico mutagenesis of human ACE2 with S protein and translational efficiency explain SARS-CoV-2 infectivity in different species.
    PLoS Comput Biol. 2020;16:e1008450.
    PubMed     Abstract available


  10. SEGO TJ, Aponte-Serrano JO, Ferrari Gianlupi J, Heaps SR, et al
    A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness.
    PLoS Comput Biol. 2020;16:e1008451.
    PubMed     Abstract available


  11. LIU QH, Bento AI, Yang K, Zhang H, et al
    The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions.
    PLoS Comput Biol. 2020;16:e1008467.
    PubMed     Abstract available


    November 2020
  12. LEUBA SI, Yaesoubi R, Antillon M, Cohen T, et al
    Tracking and predicting U.S. influenza activity with a real-time surveillance network.
    PLoS Comput Biol. 2020;16:e1008180.
    PubMed     Abstract available


  13. QUIROUETTE C, Younis NP, Reddy MB, Beauchemin CAA, et al
    Correction: A mathematical model describing the localization and spread of influenza A virus infection within the human respiratory tract.
    PLoS Comput Biol. 2020;16:e1008424.
    PubMed     Abstract available


  14. RILLIG MC, Bielcik M, Chaudhary VB, Grunfeld L, et al
    Ten simple rules for increased lab resilience.
    PLoS Comput Biol. 2020;16:e1008313.
    PubMed     Abstract available


    October 2020
  15. PEI S, Shaman J
    Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness.
    PLoS Comput Biol. 2020;16:e1008301.
    PubMed     Abstract available


  16. KRAMER SC, Pei S, Shaman J
    Forecasting influenza in Europe using a metapopulation model incorporating cross-border commuting and air travel.
    PLoS Comput Biol. 2020;16:e1008233.
    PubMed     Abstract available


  17. HILL EM, Petrou S, Forster H, de Lusignan S, et al
    Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation.
    PLoS Comput Biol. 2020;16:e1008278.
    PubMed     Abstract available


  18. NORDMANN E, Horlin C, Hutchison J, Murray JA, et al
    Ten simple rules for supporting a temporary online pivot in higher education.
    PLoS Comput Biol. 2020;16:e1008242.
    PubMed     Abstract available


  19. SADRIA M, Layton AT
    Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers During the COVID-19 Pandemic: A Modeling Analysis.
    PLoS Comput Biol. 2020;16:e1008235.
    PubMed     Abstract available


  20. HOLLINGSWORTH B, Okamoto KW, Lloyd AL
    After the honeymoon, the divorce: Unexpected outcomes of disease control measures against endemic infections.
    PLoS Comput Biol. 2020;16:e1008292.
    PubMed     Abstract available


  21. MCCOMBS A, Kadelka C
    A model-based evaluation of the efficacy of COVID-19 social distancing, testing and hospital triage policies.
    PLoS Comput Biol. 2020;16:e1008388.
    PubMed     Abstract available


  22. KREEGER PK, Brock A, Gibbs HC, Grande-Allen KJ, et al
    Ten simple rules for women principal investigators during a pandemic.
    PLoS Comput Biol. 2020;16:e1008370.
    PubMed    


    September 2020
  23. ZHAO Z, Sokhansanj BA, Malhotra C, Zheng K, et al
    Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization.
    PLoS Comput Biol. 2020;16:e1008269.
    PubMed     Abstract available


  24. POLITANO G, Benso A
    IL6-mediated HCoV-host interactome regulatory network and GO/Pathway enrichment analysis.
    PLoS Comput Biol. 2020;16:e1008238.
    PubMed     Abstract available


    July 2020
  25. SCARPINO SV, Scott JG, Eggo RM, Clements B, et al
    Socioeconomic bias in influenza surveillance.
    PLoS Comput Biol. 2020;16:e1007941.
    PubMed     Abstract available


  26. HILTON J, Keeling MJ
    Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices.
    PLoS Comput Biol. 2020;16:e1008031.
    PubMed     Abstract available


  27. PARAG KV, Donnelly CA
    Using information theory to optimise epidemic models for real-time prediction and estimation.
    PLoS Comput Biol. 2020;16:e1007990.
    PubMed     Abstract available


  28. BUCUR D, Holme P
    Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities.
    PLoS Comput Biol. 2020;16:e1008052.
    PubMed     Abstract available


    June 2020
  29. YANG W, Lau EHY, Cowling BJ
    Dynamic interactions of influenza viruses in Hong Kong during 1998-2018.
    PLoS Comput Biol. 2020;16:e1007989.
    PubMed     Abstract available


  30. SAAD-ROY CM, Arinaminpathy N, Wingreen NS, Levin SA, et al
    Implications of localized charge for human influenza A H1N1 hemagglutinin evolution: Insights from deep mutational scans.
    PLoS Comput Biol. 2020;16:e1007892.
    PubMed     Abstract available


  31. DUVIGNEAU S, Durr R, Laske T, Bachmann M, et al
    Model-based approach for predicting the impact of genetic modifications on product yield in biopharmaceutical manufacturing-Application to influenza vaccine production.
    PLoS Comput Biol. 2020;16:e1007810.
    PubMed     Abstract available


    May 2020
  32. WANG TE, Chao TL, Tsai HT, Lin PH, et al
    Differentiation of Cytopathic Effects (CPE) induced by influenza virus infection using deep Convolutional Neural Networks (CNN).
    PLoS Comput Biol. 2020;16:e1007883.
    PubMed     Abstract available


  33. GOZZI N, Perrotta D, Paolotti D, Perra N, et al
    Towards a data-driven characterization of behavioral changes induced by the seasonal flu.
    PLoS Comput Biol. 2020;16:e1007879.
    PubMed     Abstract available


    April 2020
  34. QUIROUETTE C, Younis NP, Reddy MB, Beauchemin CAA, et al
    A mathematical model describing the localization and spread of influenza A virus infection within the human respiratory tract.
    PLoS Comput Biol. 2020;16:e1007705.
    PubMed     Abstract available


  35. MCGOUGH SF, Johansson MA, Lipsitch M, Menzies NA, et al
    Nowcasting by Bayesian Smoothing: A flexible, generalizable model for real-time epidemic tracking.
    PLoS Comput Biol. 2020;16:e1007735.
    PubMed     Abstract available


    February 2020
  36. CASTRO LA, Bedford T, Ancel Meyers L
    Early prediction of antigenic transitions for influenza A/H3N2.
    PLoS Comput Biol. 2020;16:e1007683.
    PubMed     Abstract available


  37. REIMERING S, Munoz S, McHardy AC
    Phylogeographic reconstruction using air transportation data and its application to the 2009 H1N1 influenza A pandemic.
    PLoS Comput Biol. 2020;16:e1007101.
    PubMed     Abstract available


    December 2019
  38. ENDO A, Uchida M, Kucharski AJ, Funk S, et al
    Fine-scale family structure shapes influenza transmission risk in households: Insights from primary schools in Matsumoto city, 2014/15.
    PLoS Comput Biol. 2019;15:e1007589.
    PubMed     Abstract available


    November 2019
  39. REICH NG, McGowan CJ, Yamana TK, Tushar A, et al
    Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.
    PLoS Comput Biol. 2019;15:e1007486.
    PubMed     Abstract available


  40. RANGARAJAN P, Mody SK, Marathe M
    Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data.
    PLoS Comput Biol. 2019;15:e1007518.
    PubMed     Abstract available


    October 2019
  41. HILL EM, Petrou S, de Lusignan S, Yonova I, et al
    Seasonal influenza: Modelling approaches to capture immunity propagation.
    PLoS Comput Biol. 2019;15:e1007096.
    PubMed     Abstract available


  42. PRIEDHORSKY R, Daughton AR, Barnard M, O'Connell F, et al
    Estimating influenza incidence using search query deceptiveness and generalized ridge regression.
    PLoS Comput Biol. 2019;15:e1007165.
    PubMed     Abstract available


    September 2019
  43. VENKATRAMANAN S, Chen J, Fadikar A, Gupta S, et al
    Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints.
    PLoS Comput Biol. 2019;15:e1007111.
    PubMed     Abstract available


  44. BECKER AD, Wesolowski A, Bjornstad ON, Grenfell BT, et al
    Long-term dynamics of measles in London: Titrating the impact of wars, the 1918 pandemic, and vaccination.
    PLoS Comput Biol. 2019;15:e1007305.
    PubMed     Abstract available


    August 2019
  45. HAY JA, Laurie K, White M, Riley S, et al
    Characterising antibody kinetics from multiple influenza infection and vaccination events in ferrets.
    PLoS Comput Biol. 2019;15:e1007294.
    PubMed     Abstract available


  46. YANG J, Muller NF, Bouckaert R, Xu B, et al
    Bayesian phylodynamics of avian influenza A virus H9N2 in Asia with time-dependent predictors of migration.
    PLoS Comput Biol. 2019;15:e1007189.
    PubMed     Abstract available


  47. KANDULA S, Shaman J
    Reappraising the utility of Google Flu Trends.
    PLoS Comput Biol. 2019;15:e1007258.
    PubMed     Abstract available


    May 2019
  48. BEN-NUN M, Riley P, Turtle J, Bacon DP, et al
    Forecasting national and regional influenza-like illness for the USA.
    PLoS Comput Biol. 2019;15:e1007013.
    PubMed     Abstract available


    April 2019
  49. LASKE T, Bachmann M, Dostert M, Karlas A, et al
    Model-based analysis of influenza A virus replication in genetically engineered cell lines elucidates the impact of host cell factors on key kinetic parameters of virus growth.
    PLoS Comput Biol. 2019;15:e1006944.
    PubMed     Abstract available


  50. KALIMERI K, Delfino M, Cattuto C, Perrotta D, et al
    Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms.
    PLoS Comput Biol. 2019;15:e1006173.
    PubMed     Abstract available


  51. MENG H, Yaari G, Bolen CR, Avey S, et al
    Gene set meta-analysis with Quantitative Set Analysis for Gene Expression (QuSAGE).
    PLoS Comput Biol. 2019;15:e1006899.
    PubMed     Abstract available


    February 2019
  52. KRAMER SC, Shaman J
    Development and validation of influenza forecasting for 64 temperate and tropical countries.
    PLoS Comput Biol. 2019;15:e1006742.
    PubMed     Abstract available


  53. RUDIGER D, Kupke SY, Laske T, Zmora P, et al
    Multiscale modeling of influenza A virus replication in cell cultures predicts infection dynamics for highly different infection conditions.
    PLoS Comput Biol. 2019;15:e1006819.
    PubMed     Abstract available


  54. OSTHUS D, Daughton AR, Priedhorsky R
    Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited.
    PLoS Comput Biol. 2019;15:e1006599.
    PubMed     Abstract available


  55. PEI S, Cane MA, Shaman J
    Predictability in process-based ensemble forecast of influenza.
    PLoS Comput Biol. 2019;15:e1006783.
    PubMed     Abstract available


    January 2019
  56. MAJARIAN TD, Murphy RF, Lakdawala SS
    Learning the sequence of influenza A genome assembly during viral replication using point process models and fluorescence in situ hybridization.
    PLoS Comput Biol. 2019;15:e1006199.
    PubMed     Abstract available


  57. YAN AWC, Zaloumis SG, Simpson JA, McCaw JM, et al
    Sequential infection experiments for quantifying innate and adaptive immunity during influenza infection.
    PLoS Comput Biol. 2019;15:e1006568.
    PubMed     Abstract available


  58. HAW DJ, Cummings DAT, Lessler J, Salje H, et al
    Differential mobility and local variation in infection attack rate.
    PLoS Comput Biol. 2019;15:e1006600.
    PubMed     Abstract available


    November 2018
  59. VOLZ EM, Siveroni I
    Bayesian phylodynamic inference with complex models.
    PLoS Comput Biol. 2018;14:e1006546.
    PubMed     Abstract available


    October 2018
  60. CHAKRABORTY P, Lewis B, Eubank S, Brownstein JS, et al
    What to know before forecasting the flu.
    PLoS Comput Biol. 2018;14:e1005964.
    PubMed    


    September 2018
  61. HILL EM, House T, Dhingra MS, Kalpravidh W, et al
    The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh.
    PLoS Comput Biol. 2018;14:e1006439.
    PubMed     Abstract available


  62. ERTEM Z, Raymond D, Meyers LA
    Optimal multi-source forecasting of seasonal influenza.
    PLoS Comput Biol. 2018;14:e1006236.
    PubMed     Abstract available


    August 2018
  63. COPE RC, Ross JV, Chilver M, Stocks NP, et al
    Characterising seasonal influenza epidemiology using primary care surveillance data.
    PLoS Comput Biol. 2018;14:e1006377.
    PubMed     Abstract available


    June 2018
  64. BROOKS LC, Farrow DC, Hyun S, Tibshirani RJ, et al
    Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.
    PLoS Comput Biol. 2018;14:e1006134.
    PubMed     Abstract available


    March 2018
  65. SAMBATURU N, Mukherjee S, Lopez-Garcia M, Molina-Paris C, et al
    Role of genetic heterogeneity in determining the epidemiological severity of H1N1 influenza.
    PLoS Comput Biol. 2018;14:e1006069.
    PubMed     Abstract available


  66. LEE EC, Arab A, Goldlust SM, Viboud C, et al
    Deploying digital health data to optimize influenza surveillance at national and local scales.
    PLoS Comput Biol. 2018;14:e1006020.
    PubMed     Abstract available


    February 2018
  67. THOMPSON RN, Gilligan CA, Cunniffe NJ
    Control fast or control smart: When should invading pathogens be controlled?
    PLoS Comput Biol. 2018;14:e1006014.
    PubMed     Abstract available


  68. RAY EL, Reich NG
    Prediction of infectious disease epidemics via weighted density ensembles.
    PLoS Comput Biol. 2018;14:e1005910.
    PubMed     Abstract available


    November 2017
  69. SHAMAN J, Kandula S, Yang W, Karspeck A, et al
    The use of ambient humidity conditions to improve influenza forecast.
    PLoS Comput Biol. 2017;13:e1005844.
    PubMed     Abstract available


  70. YAMANA TK, Kandula S, Shaman J
    Individual versus superensemble forecasts of seasonal influenza outbreaks in the United States.
    PLoS Comput Biol. 2017;13:e1005801.
    PubMed     Abstract available


  71. VAN LEEUWEN E, Klepac P, Thorrington D, Pebody R, et al
    fluEvidenceSynthesis: An R package for evidence synthesis based analysis of epidemiological outbreaks.
    PLoS Comput Biol. 2017;13:e1005838.
    PubMed     Abstract available


    October 2017
  72. FOX SJ, Miller JC, Meyers LA
    Seasonality in risk of pandemic influenza emergence.
    PLoS Comput Biol. 2017;13:e1005749.
    PubMed     Abstract available


    June 2017
  73. DORRATOLTAJ N, Marathe A, Lewis BL, Swarup S, et al
    Epidemiological and economic impact of pandemic influenza in Chicago: Priorities for vaccine interventions.
    PLoS Comput Biol. 2017;13:e1005521.
    PubMed     Abstract available


    February 2017
  74. CHARU V, Zeger S, Gog J, Bjornstad ON, et al
    Human mobility and the spatial transmission of influenza in the United States.
    PLoS Comput Biol. 2017;13:e1005382.
    PubMed     Abstract available


  75. MAGEE D, Suchard MA, Scotch M
    Bayesian phylogeography of influenza A/H3N2 for the 2014-15 season in the United States using three frameworks of ancestral state reconstruction.
    PLoS Comput Biol. 2017;13:e1005389.
    PubMed     Abstract available


  76. WON M, Marques-Pita M, Louro C, Goncalves-Sa J, et al
    Early and Real-Time Detection of Seasonal Influenza Onset.
    PLoS Comput Biol. 2017;13:e1005330.
    PubMed     Abstract available


    December 2016
  77. SUBRAMANIAN R, Graham AL, Grenfell BT, Arinaminpathy N, et al
    Universal or Specific? A Modeling-Based Comparison of Broad-Spectrum Influenza Vaccines against Conventional, Strain-Matched Vaccines.
    PLoS Comput Biol. 2016;12:e1005204.
    PubMed     Abstract available


    November 2016
  78. YANG W, Olson DR, Shaman J
    Forecasting Influenza Outbreaks in Boroughs and Neighborhoods of New York City.
    PLoS Comput Biol. 2016;12:e1005201.
    PubMed     Abstract available


    October 2016
  79. SCHELKER M, Mair CM, Jolmes F, Welke RW, et al
    Viral RNA Degradation and Diffusion Act as a Bottleneck for the Influenza A Virus Infection Efficiency.
    PLoS Comput Biol. 2016;12:e1005075.
    PubMed     Abstract available


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