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Articles published in PLoS Comput Biol

Retrieve available abstracts of 60 articles:
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Single Articles

    October 2020
  1. 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

  2. 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

  3. 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

  4. 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

    September 2020
  5. 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

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

  7. 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

  8. 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

  9. 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
  10. 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

  11. 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

  12. 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
  13. 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

  14. 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
  15. 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

  16. 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
  17. 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

  18. 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
  19. 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
  20. 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

  21. 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
  22. 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

  23. 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
  24. 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

  25. 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
  26. 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

  27. 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

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

    May 2019
  29. 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
  30. 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

  31. 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

  32. 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
  33. 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

  34. 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

  35. 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

  36. 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
  37. 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

  38. 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

  39. 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
  40. VOLZ EM, Siveroni I
    Bayesian phylodynamic inference with complex models.
    PLoS Comput Biol. 2018;14:e1006546.
    PubMed     Abstract available

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

    September 2018
  42. 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

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

    August 2018
  44. 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
  45. 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
  46. 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

  47. 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
  48. 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

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

    November 2017
  50. 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

  51. 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

  52. 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
  53. FOX SJ, Miller JC, Meyers LA
    Seasonality in risk of pandemic influenza emergence.
    PLoS Comput Biol. 2017;13:e1005749.
    PubMed     Abstract available

    June 2017
  54. 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
  55. 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

  56. 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

  57. 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
  58. 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
  59. 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
  60. 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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