Literature DB >> 7239767

Finding causes of seasonal diseases using time series analysis.

C Bowie, D Prothero.   

Abstract

The relationship between monthly Ischaemic Heart Disease mortality and mean monthly temperature and rainfall is examined using data for England and Wales covering the period 1968 to 1976. The statistical procedure adopted involves a time series analysis of each of the individual series employing an approach which has become increasingly popular in other sciences over the last decade. Results indicate the correlation coefficients quoted in previous studies involving monthly data are spuriously high implying that temperature is not as closely related to Ischaemic Heart Disease deaths as has often been claimed.

Entities:  

Mesh:

Year:  1981        PMID: 7239767     DOI: 10.1093/ije/10.1.87

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


  11 in total

1.  A seasonal pattern in the onset of polymyalgia rheumatica.

Authors:  M A Cimmino; R Caporali; C M Montecucco; S Rovida; E Baratelli; M Broggini
Journal:  Ann Rheum Dis       Date:  1990-07       Impact factor: 19.103

2.  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

3.  The association between two windchill indices and daily mortality variation in The Netherlands.

Authors:  A E Kunst; F Groenhof; J P Mackenbach
Journal:  Am J Public Health       Date:  1994-11       Impact factor: 9.308

4.  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.

Authors:  D M Fleming; K W Cross; D L Crombie; R J Lancashire
Journal:  Eur J Epidemiol       Date:  1993-11       Impact factor: 8.082

5.  Sudden infant death syndrome and environmental temperature: an analysis using vital statistics.

Authors:  M F Murphy; M J Campbell
Journal:  J Epidemiol Community Health       Date:  1987-03       Impact factor: 3.710

6.  [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

7.  Impact of wagering inducements on the gambling behaviors of on-line gamblers: A longitudinal study based on gambling tracking data.

Authors:  Marianne Balem; Bastien Perrot; Jean-Benoit Hardouin; Elsa Thiabaud; Anaïs Saillard; Marie Grall-Bronnec; Gaëlle Challet-Bouju
Journal:  Addiction       Date:  2021-09-23       Impact factor: 7.256

8.  Climate variation and incidence of Ross river virus in Cairns, Australia: a time-series analysis.

Authors:  S Tong; W Hu
Journal:  Environ Health Perspect       Date:  2001-12       Impact factor: 9.031

9.  Mortality attributable to seasonal and pandemic influenza, Australia, 2003 to 2009, using a novel time series smoothing approach.

Authors:  David J Muscatello; Anthony T Newall; Dominic E Dwyer; C Raina Macintyre
Journal:  PLoS One       Date:  2013-06-03       Impact factor: 3.240

10.  The accuracy and timeliness of neuraminidase inhibitor dispensing data for predicting laboratory-confirmed influenza.

Authors:  J Papenburg; K M Charland; G DE Serres; D L Buckeridge
Journal:  Epidemiol Infect       Date:  2015-11-27       Impact factor: 4.434

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.