Literature DB >> 18056121

An exploratory method for estimating the changing speed of epidemic waves from historical data.

Andrew D Cliff1, Peter Haggett, Matthew Smallman-Raynor.   

Abstract

BACKGROUND: Historical data are necessary to establish long-term trends in disease incidence but pose analytical problems since their accuracy and reliability may be poorly specified.
METHODS: A robust measure of the spatial velocity, R(0A), of epidemic waves from space-time series is proposed using binary data. The method was applied to the historical records of influenza morbidity for the island of Iceland over a 61-year period of influenza seasons from 1915-16 to 1975-76.
RESULTS: The onset of influenza waves tended to speed up over the period studied and the three pandemic waves associated with viral shifts in influenza A [Spanish influenza H1N1 (1918-19), Asian influenza H2N2 (1957-58) and Hong Kong influenza H3N2 (1968-69)] spread more rapidly around the island and struck earlier in the influenza season than did inter-pandemic waves, even when the latter were equally intensive as measured by total number of cases and case incidence. DISCUSSION: The potential for using R(0A) in a real-time context is explored using French influenza data.
CONCLUSIONS: The new measure of wave velocity appears to be applicable to those historical time series where breakdown into regional or local areas is available. The study is being extended to (i) other countries where similar influenza time series are available and (ii) to other diseases within Iceland.

Entities:  

Mesh:

Year:  2007        PMID: 18056121     DOI: 10.1093/ije/dym240

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


  8 in total

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

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4.  Encephalitis lethargica and influenza. I. The role of the influenza virus in the influenza pandemic of 1918/1919.

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5.  Spatial dynamics of the 1918 influenza pandemic in England, Wales and the United States.

Authors:  Rosalind M Eggo; Simon Cauchemez; Neil M Ferguson
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6.  Time series analysis of incidence data of influenza in Japan.

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7.  Abrupt transition to heightened poliomyelitis epidemicity in England and Wales, 1947-1957, associated with a pronounced increase in the geographical rate of disease propagation.

Authors:  M R Smallman-Raynor; A D Cliff
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8.  Self-organizing maps as an approach to exploring spatiotemporal diffusion patterns.

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  8 in total

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