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10.1038/srep43623 http://scihub22266oqcxt.onion/10.1038/srep43623 C5333635!5333635!28252671     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2017 ; 7 (ä): ä Nephropedia Template TP {{tp|p=28252671|t=2017. Evidence for history-dependence of influenza pandemic emergence |pdf=|usr=}}{{28252671}} gab.com Text Evidence for history-dependence of influenza pandemic emergence JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=28252671 #FOAvip Influenza A viruses have caused a number of global pandemics, with considerable mortality in humans. Here, we analyse the time periods between influenza pandemics since 1700 under different assumptions to determine whether the emergence of new pandemic strains is a memoryless or history-dependent process. Bayesian model selection between exponential and gamma distributions for these time periods gives support to the hypothesis of history-dependence under eight out of nine sets of modelling assumptions. Using the fitted parameters to make predictions shows a high level of variability in the modelled number of pandemics from 2010?2110. The approach we take here relies on limited data, so is uncertain, but it provides cheap, safe and direct evidence relating to pandemic emergence, a field where indirect measurements are often made at great risk and cost. Twit Text FOAVip Evidence for history-dependence of influenza pandemic emergence ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=28252671 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28252671 #FOAvip English Wikipedia <ref>{{Cite pmid|28252671}}</ref> Evidence for history-dependence of influenza pandemic emergence #MMPMID28252671 Hill EM; Tildesley MJ; House T Sci Rep 2017[]; 7 (ä): ä PMID28252671show ga Influenza A viruses have caused a number of global pandemics, with considerable mortality in humans. Here, we analyse the time periods between influenza pandemics since 1700 under different assumptions to determine whether the emergence of new pandemic strains is a memoryless or history-dependent process. Bayesian model selection between exponential and gamma distributions for these time periods gives support to the hypothesis of history-dependence under eight out of nine sets of modelling assumptions. Using the fitted parameters to make predictions shows a high level of variability in the modelled number of pandemics from 2010?2110. The approach we take here relies on limited data, so is uncertain, but it provides cheap, safe and direct evidence relating to pandemic emergence, a field where indirect measurements are often made at great risk and cost. äEvidence for history-dependence of influenza pandemic emergence (epmc).pdf DeepDyve Pubget Overpricing