Literature DB >> 3961314

Box-Jenkins modelling of some viral infectious diseases.

U Helfenstein.   

Abstract

During the last few years Box-Jenkins models have become of increasing importance in such fields as economics and industry. They have been used for forecasting and for detecting relations between different time series. Similar applications are also relevant in epidemiology. Since many people who are concerned with the analysis of medical data are not familiar with this subject, a short non-technical introduction to Box-Jenkins models is given. The model-building process is demonstrated in some detail using monthly case reports of the two seasonal endemic diseases chicken-pox and mumps, and the relation between these two time series is investigated. It is found that both diseases may be represented by simple models which have basically the same statistical structure and that they are related at time-lag 0 but not at other time-lags.

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Year:  1986        PMID: 3961314     DOI: 10.1002/sim.4780050107

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  21 in total

1.  A statistical analysis of the seasonality in pulmonary tuberculosis.

Authors:  M Ríos; J M García; J A Sánchez; D Pérez
Journal:  Eur J Epidemiol       Date:  2000-05       Impact factor: 8.082

Review 2.  Time-dependent spectral analysis of epidemiological time-series with wavelets.

Authors:  Bernard Cazelles; Mario Chavez; Guillaume Constantin de Magny; Jean-Francois Guégan; Simon Hales
Journal:  J R Soc Interface       Date:  2007-08-22       Impact factor: 4.118

3.  Different responses of Ross River virus to climate variability between coastline and inland cities in Queensland, Australia.

Authors:  S Tong; W Hu
Journal:  Occup Environ Med       Date:  2002-11       Impact factor: 4.402

4.  A new influenza surveillance system in France: the Ile-de-France "GROG". 1. Principles and methodology.

Authors:  C Hannoun; W Dab; J M Cohen
Journal:  Eur J Epidemiol       Date:  1989-09       Impact factor: 8.082

5.  Waiting list statistics. I: Relation between admissions from waiting list and length of waiting list.

Authors:  M J Goldacre; A Lee; B Don
Journal:  Br Med J (Clin Res Ed)       Date:  1987-10-31

6.  Influenza mortality among the elderly in France, 1980-90: how many deaths may have been avoided through vaccination?

Authors:  F Carrat; A J Valleron
Journal:  J Epidemiol Community Health       Date:  1995-08       Impact factor: 3.710

7.  Modelling the prevalence of hepatitis C virus amongst blood donors in Libya: An investigation of providing a preventive strategy.

Authors:  Mohamed A Daw; Amira Shabash; Abdallah El-Bouzedi; Aghnya A Dau; Moktar Habas
Journal:  World J Virol       Date:  2016-02-12

8.  [Time series analysis of the influence of prevention using the example of the occurrence of accidents in Zurich before and after Tempo 50].

Authors:  U Helfenstein
Journal:  Soz Praventivmed       Date:  1987

9.  Comparative study of four time series methods in forecasting typhoid fever incidence in China.

Authors:  Xingyu Zhang; Yuanyuan Liu; Min Yang; Tao Zhang; Alistair A Young; Xiaosong Li
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

10.  Testing the impact of virus importation rates and future climate change on dengue activity in Malaysia using a mechanistic entomology and disease model.

Authors:  C R Williams; B S Gill; G Mincham; A H Mohd Zaki; N Abdullah; W R W Mahiyuddin; R Ahmad; M K Shahar; D Harley; E Viennet; A Azil; A Kamaluddin
Journal:  Epidemiol Infect       Date:  2015-01-16       Impact factor: 4.434

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