Integrating the geographic information system into cancer research

Najafabadi, AT; Pourhassan, Maryam

doi:10.4103/0019-509x.75834

Cited by 8 publications

(5 citation statements)

References 19 publications

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“…The visualization of case distribution and evaluation of the accessibility of health care institutions can further be used for planning health care services (e.g. screening centers), both in regards to assessing the location of existing health care institutions, as well as to planning the opening of new ones in locations more favorable for the population 31,32 . The experience of Australian researchers indicates the importance of the distance between the place of residence of those invited for a mammography screening and the place it is being held.…”

Section: Discussionmentioning

confidence: 99%

Application of a geographic information system in the study of spatial aspects of cervical cancer incidence in Belgrade

2020

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Background/Aim. Cervical cancer is still an important public health problem in Belgrade. The aim of this study was to explore spatial patterns of cervical cancer, provision and accessibility of women's health service on the primary health care level in Belgrade, as well as the needs for improving cancer surveillance and preventive programs. Methods. This study applied a descriptive epidemiological method and a geographic information system based on data on cervical cancer diagnosed among female residents of Belgrade in 2006 and 2011. A map of the density of cases, with precise and complete data on the address of residence at the time of diagnosis, and a map of the distribution of gynecological practices in the primary health care in Belgrade, were generated through the process of georeferencing. Results. A total of 569 cases of cervical cancer were registered in 2006 and 2011, without significant differences. Significant associations were noticed for municipality of residence and year of diagnosis (χ 2 = 42.99, df = 16, p = 0.000), and year of diagnosis and age groups 30-34 (р = 0.038, f = 3.998, df = 11, ANOVA), 40-44 (р = 0.001, f = 7.545 df = 13, ANOVA) and 45-49 (р = 0.046, f = 2.679, df = 15, ANOVA). The process of georeferencing covered a total of 466 (81.8%) cases with 97.4% of all cases diagnosed in 2006 and 68.6% in 2011. The generated maps showed similar spatial patterns of cases for both years: a higher density of cases with addresses in central parts of urban and suburban municipalities, as well as in parts of densely populated areas of urban municipalities. There was no regularity of grouping found for the cases in relation to the provision of women's health service, or of distance from the place of residence of cases to gynecological practices. Conclusion. Our results indicate possibilities for the perception of the spatial distribution of cervical cancer and needs for improving cancer surveillance and preventive programs on small geographical areas.

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Section: Discussionmentioning

confidence: 99%

Application of a geographic information system in the study of spatial aspects of cervical cancer incidence in Belgrade

2020

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“…Public policy regulations acknowledge that the environment significantly impacts our health. Geographic Information Systems (GIS) is a valuable tool that combines data with visual representations to offer insights into the spatial distribution of health outcomes and their explanatory factors [27,28]. GIS has also been used to study sociodemographic factors and links between cancer-related diseases [27].…”

Section: Introductionmentioning

confidence: 99%

“…Geographic Information Systems (GIS) is a valuable tool that combines data with visual representations to offer insights into the spatial distribution of health outcomes and their explanatory factors [27,28]. GIS has also been used to study sociodemographic factors and links between cancer-related diseases [27]. Using GIS to study social environmentalrelated stress factors can improve health outcomes, provide risk stratification, and close the BCa health disparities and mortality gap.…”

Section: Introductionmentioning

confidence: 99%

Geospatial Associations between Female Breast Cancer Mortality Rates and Environmental Socioeconomic Indicators for North Carolina

Burwell

Kimbro

Mulrooney

2023

IJERPH

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In North Carolina, over 6000 women will be diagnosed with breast cancer yearly, and over 1000 will die. It is well known that environmental conditions contribute greatly to health outcomes, and many of these factors include a geographic component. Using death data records from 2003–2019 extracted from North Carolina Vital Statistics Dataverse, a spatial database was developed to map and analyze female breast cancer mortality rates at the ZIP code scale in North Carolina. Thirty-nine hot spots and thirty cold spots of age-adjusted death rates were identified using the Getis–Ord analysis. Two-tailed t-tests were run between each cohort for environmental socioeconomic-related factors associated with breast cancer progression and mortality. The median age and household income of individuals who resided in ZIP codes with the highest breast cancer mortality were significantly lower than those who lived in ZIP codes with lower breast cancer mortality. The poverty rate, percentage of SNAP benefits, and the percentage of minorities were all significantly higher (p < 0.05, p < 0.001, and p < 0.001) in ZIP codes with high breast cancer rates. High-quality (ZIP code) granular cancer data were developed for which detailed analysis can be performed for future studies.

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“…[4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] Cancer, with its sophisticated worldwide disease surveillance systems, provides many examples of the importance of geography, including breast cancer and income, [19][20][21][22] lung cancer and radon, 23 lung cancer and petrochemical, 24 lung cancer and ambient air, 25 environment and childhood cancer, 26 prostate cancer and ambient air concentrations, 27 colorectal cancer and segregation, 28 and geographic access to gynecological cancer care. [29][30][31][32] Therefore, a geographic information system (GIS) can play a major role in helping understand the spatial distribution of diseases such as cancer, and subsequently, informing policymakers for the allocation of scarce resources. 16,17,33 While immensely bene cial, ndings can be biased because of the variability in spatial methods in health research.…”

Section: Introductionmentioning

confidence: 99%

Investigation Of Geographical Disparities: The Use of An Interpolation Method For Cancer Registry Data

Campbell¹,

Ae²,

Hdn³

et al. 2021

Preprint

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Purpose: This study aimed to demonstrate a method to systematically illustrate cancer incidence in an accurate and visually attractive, yet straightforward, GIS-based method using ZIP Code level cancer registry data for all cancers combined and four major types of cancer. This analysis will better inform public health researchers by enabling them to empirically assess and describe geographic disparities in cancer for their own areas. Methods: We describe a process of creating smoothed maps with an appropriate, well-described, simple, replicable method. We calculated SIRs for each ZIP Code Tabulation Areas (ZCTAs) for each cancer type. For the IDW, we used the ArcGIS 10.8.1 to create smoothed maps of Oklahoma ZCTA SIR. Conclusion: This study demonstrates a method that public health practitioners can duplicate with minimal skills, no or low-cost applications, and limited data to assist health care professionals and the community in interpreting cancer in their state.

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Integrating the geographic information system into cancer research

Cited by 8 publications

References 19 publications

Application of a geographic information system in the study of spatial aspects of cervical cancer incidence in Belgrade

Application of a geographic information system in the study of spatial aspects of cervical cancer incidence in Belgrade

Geospatial Associations between Female Breast Cancer Mortality Rates and Environmental Socioeconomic Indicators for North Carolina

Investigation Of Geographical Disparities: The Use of An Interpolation Method For Cancer Registry Data

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