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Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health

(1) Background: Although spatial statistics are often used by cancer epidemiologists, there is not yet an established collection of methods to serve their needs. We aimed to develop an evidence-based cancer-oriented conceptual collection of methods for spatial analysis; (2) Methods: A triangulation...

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Autores principales: Sifaki-Pistolla, Dimitra, Chatzea, Vasiliki Eirini, Frouzi, Elpiniki, Mechili, Enkeleint A., Pistolla, Georgia, Nikiforidis, George, Georgoulias, Vassilis, Lionis, Christos, Tzanakis, Nikos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566360/
https://www.ncbi.nlm.nih.gov/pubmed/36232065
http://dx.doi.org/10.3390/ijerph191912765
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author Sifaki-Pistolla, Dimitra
Chatzea, Vasiliki Eirini
Frouzi, Elpiniki
Mechili, Enkeleint A.
Pistolla, Georgia
Nikiforidis, George
Georgoulias, Vassilis
Lionis, Christos
Tzanakis, Nikos
author_facet Sifaki-Pistolla, Dimitra
Chatzea, Vasiliki Eirini
Frouzi, Elpiniki
Mechili, Enkeleint A.
Pistolla, Georgia
Nikiforidis, George
Georgoulias, Vassilis
Lionis, Christos
Tzanakis, Nikos
author_sort Sifaki-Pistolla, Dimitra
collection PubMed
description (1) Background: Although spatial statistics are often used by cancer epidemiologists, there is not yet an established collection of methods to serve their needs. We aimed to develop an evidence-based cancer-oriented conceptual collection of methods for spatial analysis; (2) Methods: A triangulation of approaches was used; literature review, consensus meetings (expert panel), and testing the selected methods on “training” databases. The literature review was conducted in three databases. This approach guided the development of a collection of methods that was subsequently commented on by the expert panel and tested on “training data” of cancer cases obtained from the Cancer Registry of Crete based on three epidemiological scenarios: (a) low prevalence cancers, (b) high prevalence cancers, (c) cancer and risk factors; (3) Results: The final spatial epidemiology conceptual collection of methods covered: data preparation/testing randomness, data protection, mapping/visualizing, geographic correlation studies, clustering/surveillance, integration of cancer data with socio-economic, clinical and environmental factors. Some of the tests/techniques included in the conceptual collection of methods were: buffer and proximity analysis, exploratory spatial analysis and others. All suggested that statistical models were found to fit well (R2 = 0.72–0.96) in “training data”; Conclusions: The proposed conceptual collection of methods provides public health professionals with a useful methodological framework along with recommendations for assessing diverse research questions of global health.
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spelling pubmed-95663602022-10-15 Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health Sifaki-Pistolla, Dimitra Chatzea, Vasiliki Eirini Frouzi, Elpiniki Mechili, Enkeleint A. Pistolla, Georgia Nikiforidis, George Georgoulias, Vassilis Lionis, Christos Tzanakis, Nikos Int J Environ Res Public Health Review (1) Background: Although spatial statistics are often used by cancer epidemiologists, there is not yet an established collection of methods to serve their needs. We aimed to develop an evidence-based cancer-oriented conceptual collection of methods for spatial analysis; (2) Methods: A triangulation of approaches was used; literature review, consensus meetings (expert panel), and testing the selected methods on “training” databases. The literature review was conducted in three databases. This approach guided the development of a collection of methods that was subsequently commented on by the expert panel and tested on “training data” of cancer cases obtained from the Cancer Registry of Crete based on three epidemiological scenarios: (a) low prevalence cancers, (b) high prevalence cancers, (c) cancer and risk factors; (3) Results: The final spatial epidemiology conceptual collection of methods covered: data preparation/testing randomness, data protection, mapping/visualizing, geographic correlation studies, clustering/surveillance, integration of cancer data with socio-economic, clinical and environmental factors. Some of the tests/techniques included in the conceptual collection of methods were: buffer and proximity analysis, exploratory spatial analysis and others. All suggested that statistical models were found to fit well (R2 = 0.72–0.96) in “training data”; Conclusions: The proposed conceptual collection of methods provides public health professionals with a useful methodological framework along with recommendations for assessing diverse research questions of global health. MDPI 2022-10-06 /pmc/articles/PMC9566360/ /pubmed/36232065 http://dx.doi.org/10.3390/ijerph191912765 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sifaki-Pistolla, Dimitra
Chatzea, Vasiliki Eirini
Frouzi, Elpiniki
Mechili, Enkeleint A.
Pistolla, Georgia
Nikiforidis, George
Georgoulias, Vassilis
Lionis, Christos
Tzanakis, Nikos
Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health
title Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health
title_full Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health
title_fullStr Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health
title_full_unstemmed Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health
title_short Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health
title_sort evidence-based conceptual collection of methods for spatial epidemiology and analysis to enhance cancer surveillance and public health
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566360/
https://www.ncbi.nlm.nih.gov/pubmed/36232065
http://dx.doi.org/10.3390/ijerph191912765
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