Literature DB >> 7085184

Methods for the measurement of epidemic velocity from time-series data.

A Cliff, P Haggett.   

Abstract

Two approaches to the measurement of epidemic velocity are presented. The first uses the moments of the frequency distribution of reported cases of a disease against time. The second is based upon an analysis of the growth parameter of a logistic model. The methods are illustrated by applications to some hypothetical and actual epidemic waves.

Mesh:

Year:  1982        PMID: 7085184     DOI: 10.1093/ije/11.1.82

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  5 in total

1.  The evolution of pandemic influenza: evidence from India, 1918-19.

Authors:  Siddharth Chandra; Eva Kassens-Noor
Journal:  BMC Infect Dis       Date:  2014-09-19       Impact factor: 3.090

2.  A swash-backwash model of the single epidemic wave.

Authors:  Andrew D Cliff; Peter Haggett
Journal:  J Geogr Syst       Date:  2006-09

3.  The spatial structure of epidemic emergence: geographical aspects of poliomyelitis in north-eastern USA, July-October 1916.

Authors:  Barry Trevelyan; Matthew Smallman-Raynor; Andrew D Cliff
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2005-11       Impact factor: 2.483

4.  The Spatial Dynamics of Poliomyelitis in the United States: From Epidemic Emergence to Vaccine-Induced Retreat, 1910-1971.

Authors:  Barry Trevelyan; Matthew Smallman-Raynor; Andrew D Cliff
Journal:  Ann Assoc Am Geogr       Date:  2005-06

5.  A Skew Logistic Distribution for Modelling COVID-19 Waves and Its Evaluation Using the Empirical Survival Jensen-Shannon Divergence.

Authors:  Mark Levene
Journal:  Entropy (Basel)       Date:  2022-04-25       Impact factor: 2.738

  5 in total

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