Literature DB >> 8150058

Respiratory illness and mortality in England and Wales. A study of the relationships between weekly data for the incidence of respiratory disease presenting to general practitioners, and registered deaths.

D M Fleming1, K W Cross, D L Crombie, R J Lancashire.   

Abstract

The possible relationship between the incidence of respiratory diseases as reported to general practitioners and numbers of registered deaths in England and Wales has been examined. Morbidity data from sentinel practices for the period 1986-1990 (population covered increased from 220,000 to 470,000) were used to calculate weekly rates of aggregated respiratory disease for persons of all ages and for elderly persons (aged 65 years and over). The elderly respiratory disease rates and numbers of deaths were aggregated into 4-week periods; secular and seasonal trends were removed from each series and the two sets of residuals were examined graphically and cross correlation coefficients calculated. There was a very strong positive association between the respiratory disease rate and number of deaths in the same 4-week period and there was also a significant but less pronounced association between respiratory disease in one 4-week period and deaths in the next. After prior separation of weeks according to temperature into four bands, weekly rates for respiratory disease were also strongly associated with the number of weekly deaths for each temperature band. The synchronisation of peaks and troughs in the two series throughout the year supports the hypothesis that a cause and effect relationship exists between respiratory disease in the elderly and number of deaths. Other climatic and meteorological variables besides temperature may play a part in determining the spread of a respiratory disease. There is a for further research to identify the micro-organisms responsible for acute respiratory infections in the elderly.

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Year:  1993        PMID: 8150058     DOI: 10.1007/bf00211429

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  14 in total

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Authors:  R Snacken; J Lion; V Van Casteren; R Cornelis; F Yane; M Mombaerts; W Aelvoet; A Stroobant
Journal:  Eur J Epidemiol       Date:  1992-07       Impact factor: 8.082

2.  The decline in winter excess mortality in The Netherlands.

Authors:  A E Kunst; C W Looman; J P Mackenbach
Journal:  Int J Epidemiol       Date:  1991-12       Impact factor: 7.196

3.  Annual and seasonal variation in the incidence of common diseases.

Authors:  D M Fleming; C A Norbury; D L Crombie
Journal:  Occas Pap R Coll Gen Pract       Date:  1991-10

4.  Observations on the influenza epidemic of November/December 1989.

Authors:  D M Fleming; D L Crombie; C A Norbury; K W Cross
Journal:  Br J Gen Pract       Date:  1990-12       Impact factor: 5.386

5.  Excess mortality from epidemic influenza, 1957-1966.

Authors:  J Housworth; A D Langmuir
Journal:  Am J Epidemiol       Date:  1974-07       Impact factor: 4.897

6.  Finding causes of seasonal diseases using time series analysis.

Authors:  C Bowie; D Prothero
Journal:  Int J Epidemiol       Date:  1981-03       Impact factor: 7.196

7.  Influenza. The Birmingham Research Unit of the Royal College of General Practitioners.

Authors: 
Journal:  J R Coll Gen Pract       Date:  1977-09

8.  Cold weather and ischaemic heart disease.

Authors:  G Rose
Journal:  Br J Prev Soc Med       Date:  1966-04

9.  Excess deaths attributable to influenza in England and Wales: age at death and certified cause.

Authors:  H E Tillett; J W Smith; C D Gooch
Journal:  Int J Epidemiol       Date:  1983-09       Impact factor: 7.196

10.  Changes in seasonal mortalities with improvement in home heating in England and Wales from 1964 to 1984.

Authors:  W R Keatinge; S R Coleshaw; J Holmes
Journal:  Int J Biometeorol       Date:  1989-06       Impact factor: 3.787

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  14 in total

1.  Cold weather and GP consultations for respiratory conditions by elderly people in 16 locations in the UK.

Authors:  Shakoor Hajat; William Bird; Andy Haines
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

2.  The impact of three influenza epidemics on primary care in England and Wales.

Authors:  D M Fleming
Journal:  Pharmacoeconomics       Date:  1996       Impact factor: 4.981

3.  Concurrence of monthly variations of mortality related to underlying cause in Europe.

Authors:  D L Crombie; D M Fleming; K W Cross; R J Lancashire
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4.  Impact of influenza and respiratory syncytial virus on mortality in England and Wales from January 1975 to December 1990.

Authors:  K G Nicholson
Journal:  Epidemiol Infect       Date:  1996-02       Impact factor: 2.451

5.  Declining incidence of episodes of asthma: a study of trends in new episodes presenting to general practitioners in the period 1989-98.

Authors:  D M Fleming; R Sunderland; K W Cross; A M Ross
Journal:  Thorax       Date:  2000-08       Impact factor: 9.139

6.  RCGP Research and Surveillance Centre Annual Report 2014-2015: disparities in presentations to primary care.

Authors:  Simon de Lusignan; Ana Correa; Sameera Pathirannehelage; Rachel Byford; Ivelina Yonova; Alex J Elliot; Theresa Lamagni; Gayatri Amirthalingam; Richard Pebody; Gillian Smith; Simon Jones; Imran Rafi
Journal:  Br J Gen Pract       Date:  2016-12-19       Impact factor: 5.386

Review 7.  Influenza diagnosis and treatment: a view from clinical practice.

Authors:  D M Fleming
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-12-29       Impact factor: 6.237

8.  Risk factors for lower respiratory complications of rhinovirus infections in elderly people living in the community: prospective cohort study.

Authors:  K G Nicholson; J Kent; V Hammersley; E Cancio
Journal:  BMJ       Date:  1996-11-02

9.  The prediction of epidemics of respiratory infection.

Authors:  D M Fleming
Journal:  Eur J Epidemiol       Date:  1994-08       Impact factor: 8.082

10.  Influenza surveillance: experiences from establishing a sentinel surveillance system in Germany.

Authors:  J Szecsenyi; H Uphoff; S Ley; H D Brede
Journal:  J Epidemiol Community Health       Date:  1995-08       Impact factor: 3.710

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