Literature DB >> 7055314

On the distribution of underlying causes of death.

A M Gittelsohn.   

Abstract

The feasibility of applying surveillance techniques to large health data sets is being explored through study of a national mortality data base encompassing 21 million United States death records for the period 1968--1978. Through the development of efficient file structures and information recovery techniques, it is possible to pose a series of questions and follow-up questions of the entire data set within budgetary constraints. Initial screening of the mortality data base reveals that major changes have occurred over the 11 years with marked declines for diseases of cardiovascular, respiratory, digestive and renal systems, and maternal and perinatal mortality. There is a tendency for increased usage of non-specific terminology. The occurrence of unlikely and unusual causes in the data set is documented and reasons for their inclusion discussed in terms of underlying cause of death logic. Problems in the study of geographic distributions of cause specific mortality are outlined with illustrations of the dispersion of standardized mortality ratios for major causes of death over areas of the country. Clusters of high mortality areas require interpretation in terms of underlying dispersion and possible reporting artifacts arising out of geographic differentials in diagnostic labeling practice.

Entities:  

Mesh:

Year:  1982        PMID: 7055314      PMCID: PMC1649624          DOI: 10.2105/ajph.72.2.133

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  2 in total

1.  The underregistration of neonatal deaths: Georgia 1974--77.

Authors:  B J McCarthy; J Terry; R W Rochat; S Quave; C W Tyler
Journal:  Am J Public Health       Date:  1980-09       Impact factor: 9.308

2.  Accuracy of cancer death certificates and its effect on cancer mortality statistics.

Authors:  C Percy; E Stanek; L Gloeckler
Journal:  Am J Public Health       Date:  1981-03       Impact factor: 9.308

  2 in total
  13 in total

1.  Misclassification of childhood homicide on death certificates.

Authors:  G D Lapidus; D I Gregorio; H Hansen
Journal:  Am J Public Health       Date:  1990-02       Impact factor: 9.308

2.  Misclassification of coronary heart disease in mortality statistics. Evidence from the WHO-MONICA Ghent-Charleroi Study in Belgium.

Authors:  S De Henauw; P de Smet; W Aelvoet; M Kornitzer; G De Backer
Journal:  J Epidemiol Community Health       Date:  1998-08       Impact factor: 3.710

3.  Epidemiologic characteristics of the United States elderly population in the 20th century.

Authors:  J A Brody; D B Brock
Journal:  Eur J Epidemiol       Date:  1986-03       Impact factor: 8.082

4.  A microcomputer-based vital records data base with interactive graphic assessment for states and localities.

Authors:  D Wartenberg; V J Agamennone; D Ozonoff; R J Berry
Journal:  Am J Public Health       Date:  1989-11       Impact factor: 9.308

5.  What the vital statistics system can and cannot do.

Authors:  R Zemach
Journal:  Am J Public Health       Date:  1984-08       Impact factor: 9.308

6.  The continued vitality of vital statistics.

Authors:  J C Kleinman
Journal:  Am J Public Health       Date:  1982-02       Impact factor: 9.308

7.  New dimensions in cause of death statistics.

Authors:  R F Chamblee; M C Evans
Journal:  Am J Public Health       Date:  1982-11       Impact factor: 9.308

8.  A practical guide to big data.

Authors:  Ekaterina Smirnova; Andrada Ivanescu; Jiawei Bai; Ciprian M Crainiceanu
Journal:  Stat Probab Lett       Date:  2018-03-01       Impact factor: 0.870

9.  A reappraisal of time trends in ulcer disease: factors related to changes in ulcer hospitalization and mortality rates.

Authors:  J H Kurata; J D Elashoff; B M Haile; G D Honda
Journal:  Am J Public Health       Date:  1983-09       Impact factor: 9.308

10.  Racial differences in ill defined cancer mortality in the United States and in the District of Columbia.

Authors:  E Schwartz; V Y Kofie; S R Sturgeon
Journal:  J Epidemiol Community Health       Date:  1992-08       Impact factor: 3.710

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.