Literature DB >> 34974471

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

Daniel E Sack1, Stephen J Gange2, Keri N Althoff2, April C Pettit1,3,4, Asghar N Kheshti3,4, Imani S Ransby3, Jeff J Nelson3, Megan M Turner3, Timothy R Sterling3, Peter F Rebeiro1,3,5.   

Abstract

BACKGROUND: Maps are potent tools for describing the spatial distribution of population and disease characteristics and, thereby, for appropriately targeting public health interventions. People with HIV (PWH) tend to live in densely populated and spatially compact areas that may be difficult to visualize on maps using unadjusted geographic or political borders.
SETTING: To illustrate these challenges, we used geographic data from adult PWH at the Vanderbilt Comprehensive Care Clinic (VCCC) in Nashville, Tennessee, and aggregated data from the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) from 1998 to 2015.
METHODS: We compared choropleth maps that use differential shading of political/geographic boundaries with density-adjusted cartograms that allow for shading and deformed boundaries according to a variable of interest, such as PWH.
RESULTS: Cartograms enlarged high-burden areas and shrank low-burden areas of PWH, improving visual interpretation of where to focus HIV prevention and mitigation efforts, when compared with choropleth maps. Cartograms may also demonstrate cohort representativeness of underlying populations (eg, Tennessee for VCCC or the United States for NA-ACCORD), which can guide efforts to assess external validity and improve generalizability.
CONCLUSION: Choropleth maps and cartograms offer powerful visual evidence of the geographic distribution of HIV disease and cohort representation and should be used to guide targeted public health interventions.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Mesh:

Year:  2022        PMID: 34974471      PMCID: PMC9058192          DOI: 10.1097/QAI.0000000000002903

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.771


  21 in total

1.  THE AREA ADJUSTED MAP. AN EPIDEMIOLOGIC DEVICE.

Authors:  M E LEVISON; W HADDON
Journal:  Public Health Rep       Date:  1965-01       Impact factor: 2.792

2.  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

3.  Evaluating Cartogram Effectiveness.

Authors:  Sabrina Nusrat; Md Jawaherul Alam; Stephen Kobourov
Journal:  IEEE Trans Vis Comput Graph       Date:  2016-12-20       Impact factor: 4.579

4.  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

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

Authors:  Asheena Khalakdina; Steve Selvin; Deane W Merrill; Christine A Erdmann; John M Colford
Journal:  Int J Hyg Environ Health       Date:  2003-10       Impact factor: 5.840

6.  Social Determinants of HIV Disparities in the Southern United States and in Counties with Historically Black Colleges and Universities (HBCUs), 2013-2014.

Authors:  Madeline Y Sutton; Simone C Gray; Kim Elmore; Zaneta Gaul
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

7.  Visualizing statistical significance of disease clusters using cartograms.

Authors:  Barry J Kronenfeld; David W S Wong
Journal:  Int J Health Geogr       Date:  2017-05-15       Impact factor: 3.918

8.  Is Cohort Representativeness Passé? Poststratified Associations of Lifestyle Risk Factors with Mortality in the UK Biobank.

Authors:  Emmanuel Stamatakis; Katherine B Owen; Leah Shepherd; Bradley Drayton; Mark Hamer; Adrian E Bauman
Journal:  Epidemiology       Date:  2021-03-01       Impact factor: 4.860

9.  Online GIS services for mapping and sharing disease information.

Authors:  Sheng Gao; Darka Mioc; Francois Anton; Xiaolun Yi; David J Coleman
Journal:  Int J Health Geogr       Date:  2008-02-25       Impact factor: 3.918

10.  A picture is worth a thousand words: maps of HIV indicators to inform research, programs, and policy from NA-ACCORD and CCASAnet clinical cohorts.

Authors:  Keri N Althoff; Peter F Rebeiro; David B Hanna; Denis Padgett; Michael A Horberg; Beatriz Grinsztejn; Alison G Abraham; Robert Hogg; M John Gill; Marcelo J Wolff; Angel Mayor; Anita Rachlis; Carolyn Williams; Timothy R Sterling; Mari M Kitahata; Kate Buchacz; Jennifer E Thorne; Carina Cesar; Fernando M Cordero; Sean B Rourke; Juan Sierra-Madero; Jean W Pape; Pedro Cahn; Catherine McGowan
Journal:  J Int AIDS Soc       Date:  2016-04-04       Impact factor: 5.396

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.