Literature DB >> 14626902

Analysis of the spatial distribution of cryptosporidiosis in AIDS patients in San Francisco using density equalizing map projections (DEMP).

Asheena Khalakdina1, Steve Selvin, Deane W Merrill, Christine A Erdmann, John M Colford.   

Abstract

Environmental transmission of cryptosporidiosis has occurred repeatedly in defined spatial areas during outbreaks of disease attributed, for example, to drinking water contamination. Little work has been done to investigate the possibility of cryptosporidiosis infection in defined spatial areas in non-outbreak (i.e., endemic) settings. This study applies a novel approach to the investigation of the spatial distribution of cryptosporidiosis in AIDS patients in San Francisco. Density equalizing map projection (DEMP) maps were created for nine race/ethnicity-age groups of AIDS patients based on census tract of residence. Additionally, census tracts with a "high density" of cryptosporidiosis cases were identified by applying smoothing techniques to the DEMP maps, and included as a covariate in multivariate Poisson regression analyses of other known risk factors for cryptosporidios. These analyses suggest: (1) cases of cryptosporidiosis among Black and Hispanic AIDS patients, but not among Whites, show a statistically significant non-random spatial distribution (p < 0.05) even after adjustment for the underlying spatial distribution of AIDS patients for these demographic groups, and (2) the risk of residence in these high density census tracts, adjusted for other known risk factors, was not statistically significant (relative risk = 1.27, 95% confidence interval 0.15, 10.53). These results do not support an independent effect of spatial distribution on the transmission of cryptosporidiosis among AIDS patients.

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Year:  2003        PMID: 14626902     DOI: 10.1078/1438-4639-00245

Source DB:  PubMed          Journal:  Int J Hyg Environ Health        ISSN: 1438-4639            Impact factor:   5.840


  4 in total

1.  Density-equalizing Euclidean minimum spanning trees for the detection of all disease cluster shapes.

Authors:  Shannon C Wieland; John S Brownstein; Bonnie Berger; Kenneth D Mandl
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-22       Impact factor: 11.205

2.  Visualizing the Geography of HIV Observational Cohorts With Density-Adjusted Cartograms.

Authors:  Daniel E Sack; Stephen J Gange; Keri N Althoff; April C Pettit; Asghar N Kheshti; Imani S Ransby; Jeff J Nelson; Megan M Turner; Timothy R Sterling; Peter F Rebeiro
Journal:  J Acquir Immune Defic Syndr       Date:  2022-04-15       Impact factor: 3.771

3.  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

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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