Skip Navigation

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by GREENWALD, P.
Right arrow Articles by DAITCH, P. B.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by GREENWALD, P.
Right arrow Articles by DAITCH, P. B.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Vol. 110, No. 2: 162-177
Copyright © 1979 by The Johns Hopkins University School of Hygiene and Public Health

research-article

ACQUAINTANCE NETWORKS AMONG LEUKEMIA AND LYMPHOMA PATIENTS

PETER GREENWALD1, JOEL S. ROSE2 and PAUL B. DAITCH1,3

1 Division of Epidemiology, New York State Department of Health Tower Bldg, Empire State Plaza, Albany, NY 12237
2 Survey Research Center, State University of New York at Buffalo 4230 Ridge Lea Road, Buffalo, NY 14226
3 Rensselaer Polytechnic Institute Troy, NY 12181

A case-control study of clustering through acquaintanceship among lymphoma and leukemia patients was conducted for the years 1967 through 1972 in Orleans County, New York. Twenty lymphoma and 17 leukemia cases met criteria for inclusion in the study. Data on acquaintanceship linkage were gathered from the source cases and controls, and from their acquaintances yielding a data base of 13,409 unique individuals linked by acquaintance. Three different analyses were carried out: a statistical analysis of linkage via intermediaries of case pairs in comparison with control pairs; a computer simulation of disease transmission from selected source cases to selected targets and controls based on the acquaintance data; and a secondary attack rate type analysis. The first two types of analysis yielded statistically significant case-control differences at the .05 level. The third method also yielded a positive result but was not subject to quantitative hypothesis testing. An additional conclusion is that these epidemiologic methods for disease with long induction periods merit further study.

clustering; disease models; epidemiologic methods; leukemia; lymphoma; social interaction


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.