Skip to content

Latest commit

 

History

History
113 lines (72 loc) · 6.02 KB

papersread.md

File metadata and controls

113 lines (72 loc) · 6.02 KB
title description
Papers I've read
This is really just in the testing state as a format.

[Skimmed, read, scrutinized] as three degrees of how intensly I've read a paper.

Category

Paper Name [Skimmed]

20X6 - Authors names and info JK. Steve? et. al
Here is a no more than three sentence summary about the paper. No detailed quotes. At most a few numbers of results. Keep it short.

Paper Name [Skimmed]

20X6 - Authors names and info JK. Steve? et. al
Here is a no more than three sentence summary about the paper. No detailed quotes. At most a few numbers of results. Keep it short.

Paper Name [Skimmed]

20X6 - Authors names and info JK. Steve? et. al
Here is a no more than three sentence summary about the paper. No detailed quotes. At most a few numbers of results. Keep it short.

Paper Name [Skimmed]

20X6 - Authors names and info JK. Steve? et. al
Here is a no more than three sentence summary about the paper. No detailed quotes. At most a few numbers of results. Keep it short.

Category

Paper Name [Skimmed]

20X6 - Authors names and info JK. Steve? et. al
Here is a no more than three sentence summary about the paper. No detailed quotes. At most a few numbers of results. Keep it short.

Contagion

Paper Name [Skimmed]

20X6 - Authors names and info JK. Steve? et. al
Here is a no more than three sentence summary about the paper. No detailed quotes. At most a few numbers of results. Keep it short.

Paper Name [Skimmed]

20X6 - Authors names and info JK. Steve? et. al
Here is a no more than three sentence summary about the paper. No detailed quotes. At most a few numbers of results. Keep it short.

Paper Name [Skimmed]

20X6 - Authors names and info JK. Steve? et. al

: Here is a no more than three sentence summary about the paper. No detailed quotes. At most a few numbers of results. Keep it short.

Superspreading and the effect of individual variation on disease emergence [Scrutinized]

2005 - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz
Models heterogeneity of disease transmission using compound probability distributions. Gamma-Poisson-mixture seems to be the best match for diseases like SARS. Defines "superspreading". Contains details about branching models and extinction using probability generating functions.

Superspreading and the effect of individual variation on disease emergence [Scrutinized] : 2005 - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz
Models heterogeneity of disease transmission using compound probability distributions. Gamma-Poisson-mixture seems to be the best match for diseases like SARS. Defines "superspreading". Contains details about branching models and extinction using probability generating functions.

Superspreading and the effect of individual variation on disease emergence [Scrutinized] : 2005 - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz
Models heterogeneity of disease transmission using compound probability distributions. Gamma-Poisson-mixture seems to be the best match for diseases like SARS. Defines "superspreading". Contains details about branching models and extinction using probability generating functions.

Superspreading and the effect of individual variation on disease emergence [Scrutinized] : 2005 - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz
Models heterogeneity of disease transmission using compound probability distributions. Gamma-Poisson-mixture seems to be the best match for diseases like SARS. Defines "superspreading". Contains details about branching models and extinction using probability generating functions.

Superspreading and the effect of individual variation on disease emergence [Scrutinized] : 2005 - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz
Models heterogeneity of disease transmission using compound probability distributions. Gamma-Poisson-mixture seems to be the best match for diseases like SARS. Defines "superspreading". Contains details about branching models and extinction using probability generating functions.

I don't remember, did I include this little trick in my css?

Superspreading and the effect of individual variation on disease emergence [Scrutinized] : 2005 Nov - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz - [Scrutinized]

  • Models heterogeneity of disease transmission using compound probability distributions.
  • Gamma-Poisson-mixture seems to be the best match for diseases like SARS.
  • Defines "superspreading".
  • Contains details about branching models and extinction using probability generating functions.

Superspreading and the effect of individual variation on disease emergence [Scrutinized] : 2005 Nov - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz - [Scrutinized]

  • Models heterogeneity of disease transmission using compound probability distributions.
  • Gamma-Poisson-mixture seems to be the best match for diseases like SARS.
  • Defines "superspreading".
  • Contains details about branching models and extinction using probability generating functions.

Superspreading and the effect of individual variation on disease emergence [Scrutinized] : 2005 Nov - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz - [Scrutinized]

  • Models heterogeneity of disease transmission using compound probability distributions.
  • Gamma-Poisson-mixture seems to be the best match for diseases like SARS.
  • Defines "superspreading".
  • Contains details about branching models and extinction using probability generating functions.

Superspreading and the effect of individual variation on disease emergence [Scrutinized] : 2005 Nov - J. O. Lloyd-Smith, S. J. Schreiber, P. E. Kopp & W. M. Getz - [Scrutinized]

  • Models heterogeneity of disease transmission using compound probability distributions.
  • Gamma-Poisson-mixture seems to be the best match for diseases like SARS.
  • Defines "superspreading".
  • Contains details about branching models and extinction using probability generating functions.