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COVID-19: Daily Top 10 Papers


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Articles published in PLoS Comput Biol

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    March 2021
  1. ZIPFEL CM, Colizza V, Bansal S
    Health inequities in influenza transmission and surveillance.
    PLoS Comput Biol. 2021;17:e1008642.
    PubMed     Abstract available


  2. BRAULT V, Mallein B, Rupprecht JF
    Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance.
    PLoS Comput Biol. 2021;17:e1008726.
    PubMed     Abstract available


  3. LIBIN PJK, Willem L, Verstraeten T, Torneri A, et al
    Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics.
    PLoS Comput Biol. 2021;17:e1008688.
    PubMed     Abstract available


  4. CZUPPON P, Debarre F, Goncalves A, Tenaillon O, et al
    Success of prophylactic antiviral therapy for SARS-CoV-2: Predicted critical efficacies and impact of different drug-specific mechanisms of action.
    PLoS Comput Biol. 2021;17:e1008752.
    PubMed     Abstract available


  5. DING J, Hostallero DE, El Khili MR, Fonseca GJ, et al
    A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes' interactions points to Neutrophil extracellular traps as mediators of thrombosis in COVID-19.
    PLoS Comput Biol. 2021;17:e1008810.
    PubMed     Abstract available


  6. RICHARD Q, Alizon S, Choisy M, Sofonea MT, et al
    Age-structured non-pharmaceutical interventions for optimal control of COVID-19 epidemic.
    PLoS Comput Biol. 2021;17:e1008776.
    PubMed     Abstract available


  7. STURNIOLO S, Waites W, Colbourn T, Manheim D, et al
    Testing, tracing and isolation in compartmental models.
    PLoS Comput Biol. 2021;17:e1008633.
    PubMed     Abstract available


  8. DI LAURO F, Kiss IZ, Miller JC
    Optimal timing of one-shot interventions for epidemic control.
    PLoS Comput Biol. 2021;17:e1008763.
    PubMed     Abstract available


    February 2021
  9. FISCON G, Conte F, Farina L, Paci P, et al
    SAveRUNNER: A network-based algorithm for drug repurposing and its application to COVID-19.
    PLoS Comput Biol. 2021;17:e1008686.
    PubMed     Abstract available


  10. BRACHER J, Ray EL, Gneiting T, Reich NG, et al
    Evaluating epidemic forecasts in an interval format.
    PLoS Comput Biol. 2021;17:e1008618.
    PubMed     Abstract available


  11. DATTNER I, Goldberg Y, Katriel G, Yaari R, et al
    The role of children in the spread of COVID-19: Using household data from Bnei Brak, Israel, to estimate the relative susceptibility and infectivity of children.
    PLoS Comput Biol. 2021;17:e1008559.
    PubMed     Abstract available


  12. NANDE A, Adlam B, Sheen J, Levy MZ, et al
    Dynamics of COVID-19 under social distancing measures are driven by transmission network structure.
    PLoS Comput Biol. 2021;17:e1008684.
    PubMed     Abstract available


  13. TREVEIL A, Bohar B, Sudhakar P, Gul L, et al
    ViralLink: An integrated workflow to investigate the effect of SARS-CoV-2 on intracellular signalling and regulatory pathways.
    PLoS Comput Biol. 2021;17:e1008685.
    PubMed     Abstract available


  14. BOUMAN JA, Riou J, Bonhoeffer S, Regoes RR, et al
    Estimating the cumulative incidence of SARS-CoV-2 with imperfect serological tests: Exploiting cutoff-free approaches.
    PLoS Comput Biol. 2021;17:e1008728.
    PubMed     Abstract available


    January 2021
  15. 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


  16. KEELING MJ, Hill EM, Gorsich EE, Penman B, et al
    Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies.
    PLoS Comput Biol. 2021;17:e1008619.
    PubMed     Abstract available


  17. TEPEKULE B, Hauser A, Kachalov VN, Andresen S, et al
    Assessing the potential impact of transmission during prolonged viral shedding on the effect of lockdown relaxation on COVID-19.
    PLoS Comput Biol. 2021;17:e1008609.
    PubMed     Abstract available


  18. KOYAMA S, Horie T, Shinomoto S
    Estimating the time-varying reproduction number of COVID-19 with a state-space method.
    PLoS Comput Biol. 2021;17:e1008679.
    PubMed     Abstract available


  19. BIN M, Cheung PYK, Crisostomi E, Ferraro P, et al
    Post-lockdown abatement of COVID-19 by fast periodic switching.
    PLoS Comput Biol. 2021;17:e1008604.
    PubMed     Abstract available


  20. OMAR SI, Zhao M, Sekar RV, Moghadam SA, et al
    Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers.
    PLoS Comput Biol. 2021;17:e1008603.
    PubMed     Abstract available


    December 2020
  21. 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


  22. 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


  23. 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


  24. 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


  25. 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


  26. 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


  27. 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


  28. 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


  29. 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


  30. 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
  31. 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


  32. 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


  33. 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
  34. 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


  35. 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


  36. 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


  37. 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


  38. 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


  39. 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


  40. 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


  41. 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    


  42. KARCHER MD, Carvalho LM, Suchard MA, Dudas G, et al
    Estimating effective population size changes from preferentially sampled genetic sequences.
    PLoS Comput Biol. 2020;16:e1007774.
    PubMed     Abstract available


    September 2020
  43. 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


  44. 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
  45. SCARPINO SV, Scott JG, Eggo RM, Clements B, et al
    Socioeconomic bias in influenza surveillance.
    PLoS Comput Biol. 2020;16:e1007941.
    PubMed     Abstract available


  46. 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


  47. 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


  48. 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
  49. 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


  50. 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


  51. 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
  52. 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


  53. 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
  54. 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


  55. 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
  56. 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


  57. 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
  58. 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
  59. 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


  60. 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
  61. 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


  62. 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
  63. 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


  64. 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
  65. 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


  66. 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


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


    May 2019
  68. 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
  69. 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


  70. 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


  71. 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
  72. 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


  73. 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


  74. 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


  75. 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
  76. 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


  77. 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


  78. 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
  79. VOLZ EM, Siveroni I
    Bayesian phylodynamic inference with complex models.
    PLoS Comput Biol. 2018;14:e1006546.
    PubMed     Abstract available


    October 2018
  80. 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
  81. 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


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


    August 2018
  83. 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
  84. 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
  85. 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


  86. 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
  87. 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


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


    November 2017
  89. 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


  90. 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


  91. 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
  92. FOX SJ, Miller JC, Meyers LA
    Seasonality in risk of pandemic influenza emergence.
    PLoS Comput Biol. 2017;13:e1005749.
    PubMed     Abstract available


    June 2017
  93. 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
  94. 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


  95. 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


  96. 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
  97. 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
  98. 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
  99. 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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