Literature DB >> 31145834

GIScience and cancer: State of the art and trends for cancer surveillance and epidemiology.

Liora Sahar1, Stephanie L Foster2, Recinda L Sherman3, Kevin A Henry4,5, Daniel W Goldberg6,7, David G Stinchcomb8, Joseph E Bauer9.   

Abstract

Maps are well recognized as an effective means of presenting and communicating health data, such as cancer incidence and mortality rates. These data can be linked to geographic features like counties or census tracts and their associated attributes for mapping and analysis. Such visualization and analysis provide insights regarding the geographic distribution of cancer and can be important for advancing effective cancer prevention and control programs. Applying a spatial approach allows users to identify location-based patterns and trends related to risk factors, health outcomes, and population health. Geographic information science (GIScience) is the discipline that applies Geographic Information Systems (GIS) and other spatial concepts and methods in research. This review explores the current state and evolution of GIScience in cancer research by addressing fundamental topics and issues regarding spatial data and analysis that need to be considered. GIScience, along with its health-specific application in the spatial epidemiology of cancer, incorporates multiple geographic perspectives pertaining to the individual, the health care infrastructure, and the environment. Challenges addressing these perspectives and the synergies among them can be explored through GIScience methods and associated technologies as integral parts of epidemiologic research, analysis efforts, and solutions. The authors suggest GIScience is a powerful tool for cancer research, bringing additional context to cancer data analysis and potentially informing decision-making and policy, ultimately aimed at reducing the burden of cancer.
© 2019 American Cancer Society.

Entities:  

Keywords:  Geographic Information Systems (GIS); cancer surveillance; geographic information science (GIScience); mapping and visualization; spatial epidemiology; spatial statistics

Mesh:

Year:  2019        PMID: 31145834      PMCID: PMC6625915          DOI: 10.1002/cncr.32052

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  73 in total

1.  Application of a weighted head-banging algorithm to mortality data maps.

Authors:  M Mungiole; L W Pickle; K H Simonson
Journal:  Stat Med       Date:  1999-12-15       Impact factor: 2.373

2.  From crayons to computers: mapping cancer moves on.

Authors:  K Arnold
Journal:  J Natl Cancer Inst       Date:  2000-04-05       Impact factor: 13.506

Review 3.  Geographically masking health data to preserve confidentiality.

Authors:  M P Armstrong; G Rushton; D L Zimmerman
Journal:  Stat Med       Date:  1999-03-15       Impact factor: 2.373

4.  Within-state geographic patterns of health insurance coverage and health risk factors in the United States.

Authors:  Linda Williams Pickle; Yuchen Su
Journal:  Am J Prev Med       Date:  2002-02       Impact factor: 5.043

5.  On the wrong side of the tracts? Evaluating the accuracy of geocoding in public health research.

Authors:  N Krieger; P Waterman; K Lemieux; S Zierler; J W Hogan
Journal:  Am J Public Health       Date:  2001-07       Impact factor: 9.308

6.  Disease surveillance in rural communities is compromised by address geocoding uncertainty: a case study of campylobacteriosis.

Authors:  Chris Skelly; Wendy Black; Mark Hearnden; Rebekah Eyles; Phil Weinstein
Journal:  Aust J Rural Health       Date:  2002-04       Impact factor: 1.662

7.  Evaluation of spatial filters to create smoothed maps of health data.

Authors:  T O Talbot; M Kulldorff; S P Forand; V B Haley
Journal:  Stat Med       Date:  2000 Sep 15-30       Impact factor: 2.373

Review 8.  Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities Geocoding Project.

Authors:  Nancy Krieger; Jarvis T Chen; Pamela D Waterman; Mah-Jabeen Soobader; S V Subramanian; Rosa Carson
Journal:  Am J Epidemiol       Date:  2002-09-01       Impact factor: 4.897

9.  Spatial smoothing of cancer survival: a Bayesian approach.

Authors:  K Osnes; O O Aalen
Journal:  Stat Med       Date:  1999-08-30       Impact factor: 2.373

10.  Zip code caveat: bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas--the Public Health Disparities Geocoding Project.

Authors:  Nancy Krieger; Pamela Waterman; Jarvis T Chen; Mah-Jabeen Soobader; S V Subramanian; Rosa Carson
Journal:  Am J Public Health       Date:  2002-07       Impact factor: 9.308

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  14 in total

1.  Population-Level Patterns of Prostate Cancer Occurrence: Disparities in Virginia.

Authors:  Tunde M Adebola; Herman W W Fennell; Michael D Druitt; Carolina A Bonin; Victoria A Jenifer; Andre J van Wijnen; Eric A Lewallen
Journal:  Curr Mol Biol Rep       Date:  2022-03-11

2.  Spatiotemporal Analysis of Gastrointestinal Tumor (GI) with Kernel Density Estimation (KDE) Based on Heterogeneous Background.

Authors:  Zhenjie Yang; Sanwei He; Huiyuan Zhang; Meifang Li; Yuqing Liang
Journal:  Int J Environ Res Public Health       Date:  2022-06-24       Impact factor: 4.614

3.  Investigation of Relationships Between the Geospatial Distribution of Cancer Incidence and Estimated Pesticide Use in the U.S. West.

Authors:  Naveen Joseph; Catherine R Propper; Madeline Goebel; Shantel Henry; Indrakshi Roy; Alan S Kolok
Journal:  Geohealth       Date:  2022-05-01

4.  Identification of spatio-temporal clusters of lung cancer cases in Pennsylvania, USA: 2010-2017.

Authors:  Nuria Camiña; Tara L McWilliams; Thomas P McKeon; Trevor M Penning; Wei-Ting Hwang
Journal:  BMC Cancer       Date:  2022-05-17       Impact factor: 4.638

5.  Spatio-temporal mapping of breast and prostate cancers in South Iran from 2014 to 2017.

Authors:  Mahdieh Montazeri; Benyamin Hoseini; Neda Firouraghi; Fatemeh Kiani; Hosein Raouf-Mobini; Adele Biabangard; Ali Dadashi; Vahideh Zolfaghari; Leila Ahmadian; Saeid Eslami; Robert Bergquist; Nasser Bagheri; Behzad Kiani
Journal:  BMC Cancer       Date:  2020-11-30       Impact factor: 4.430

6.  Towards precision public health: Geospatial analytics and sensitivity/specificity assessments to inform liver cancer prevention.

Authors:  Shannon M Lynch; Daniel Wiese; Angel Ortiz; Kristen A Sorice; Minhhuyen Nguyen; Evelyn T González; Kevin A Henry
Journal:  SSM Popul Health       Date:  2020-08-07

7.  Examining socio-spatial mobility patterns among colon cancer patients after diagnosis.

Authors:  Daniel Wiese; Shannon M Lynch; Antoinette M Stroup; Aniruddha Maiti; Gerald Harris; Slobodan Vucetic; Kevin A Henry
Journal:  SSM Popul Health       Date:  2022-01-07

8.  A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions.

Authors:  Claire Biesecker; Whitney E Zahnd; Heather M Brandt; Swann Arp Adams; Jan M Eberth
Journal:  Prev Chronic Dis       Date:  2020-01-02       Impact factor: 2.830

9.  A spatial database of colorectal cancer patients and potential nutritional risk factors in an urban area in the Middle East.

Authors:  Neda Firouraghi; Nasser Bagheri; Fatemeh Kiani; Ladan Goshayeshi; Majid Ghayour-Mobarhan; Khalil Kimiafar; Saeid Eslami; Behzad Kiani
Journal:  BMC Res Notes       Date:  2020-10-02

10.  Spatial epidemiology of skin cancer in Iran: separating sun-exposed and non-sun-exposed parts of the body.

Authors:  Behzad Kiani; Parinaz Tabari; Alireza Mohammadi; Sayyed Mostafa Mostafavi; Mohsen Moghadami; Mitra Amini; Abbas Rezaianzadeh
Journal:  Arch Public Health       Date:  2022-01-20
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