Literature DB >> 3258072

Transformations of maps to investigate clusters of disease.

S Selvin1, D Merrill, J Schulman, S Sacks, L Bedell, L Wong.   

Abstract

An approach is presented to display and analyze epidemiologic data using population density equalized maps (cartograms). The algorithm for generating these maps is discussed. A specific method for statistically analyzing plotted data is given, followed by an application of maps and analysis to 73 sets of age-, race-, sex-, and site-specific cancer incidence data. The data were obtained from the Surveillance, Epidemiology and End Results project for San Francisco City/County (1978-1981) and combined with 1980 U.S. Census data.

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Year:  1988        PMID: 3258072     DOI: 10.1016/0277-9536(88)90242-0

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  4 in total

1.  From The Cover: Diffusion-based method for producing density-equalizing maps.

Authors:  Michael T Gastner; M E J Newman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-10       Impact factor: 11.205

2.  Use of density-equalizing cartograms to visualize trends and disparities in state-specific prevalence of obesity: 1996-2006.

Authors:  Brian Houle; James Holt; Cathleen Gillespie; David S Freedman; Michele Reyes
Journal:  Am J Public Health       Date:  2008-12-04       Impact factor: 9.308

Review 3.  The shape of the global causes of death.

Authors:  Anna Barford; Danny Dorling
Journal:  Int J Health Geogr       Date:  2007-10-23       Impact factor: 3.918

4.  Dot map cartograms for detection of infectious disease outbreaks: an application to Q fever, the Netherlands and pertussis, Germany.

Authors:  Loes Soetens; Susan Hahné; Jacco Wallinga
Journal:  Euro Surveill       Date:  2017-06-29
  4 in total

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