{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/106348"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/106348","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Geographical health data maps for Carle Foundation Hospital and the assessment of rural cancer rates in Illinois","abstract":"Cancer is the second leading cause of death in the United States and in the state of Illinois. With numerous research efforts put into finding the causes of cancers, many genomic cancer risk factors have been confirmed, e.g. the importance of HER2 gene in breast cancer growth. However, how the environmental factors and socioeconomic status influence the cancer development remains unclear. To understand more about how the environmental and socioeconomic factors lead to cancers, we analyzed a few well-known risk factors on county and ZIP Code levels, including pesticides use, poverty level, income, water pollution, tap water quality, and industrial wastes. In these analyses, no significant correlation was found between the cancer incidence rate and the environmental and socioeconomic factors. Since there is a lack of strong correlations, a cancer development model based on environmental and socioeconomic factors cannot be built. Instead, we analyzed the health data on geographical maps by visualizing the statistics of risk factors on county and ZIP Code levels on a map. Different types of environmental and socioeconomic factors of interest are overlaid on the map to show the statistics of Illinois. We believe the risk factor geographical maps can help clinicians with cancers diagnosis, as well as further understand the development of cancers.","abstract_html":"Cancer is the second leading cause of death in the United States and in the state of Illinois. With numerous research efforts put into finding the causes of cancers, many genomic cancer risk factors have been confirmed, e.g. the importance of HER2 gene in breast cancer growth. However, how the environmental factors and socioeconomic status influence the cancer development remains unclear. To understand more about how the environmental and socioeconomic factors lead to cancers, we analyzed a few well-known risk factors on county and ZIP Code levels, including pesticides use, poverty level, income, water pollution, tap water quality, and industrial wastes. In these analyses, no significant correlation was found between the cancer incidence rate and the environmental and socioeconomic factors. Since there is a lack of strong correlations, a cancer development model based on environmental and socioeconomic factors cannot be built. Instead, we analyzed the health data on geographical maps by visualizing the statistics of risk factors on county and ZIP Code levels on a map. Different types of environmental and socioeconomic factors of interest are overlaid on the map to show the statistics of Illinois. We believe the risk factor geographical maps can help clinicians with cancers diagnosis, as well as further understand the development of cancers.","abstract_has_math":false,"creators":["Huang, Meng-Yao"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Bioengineering","degree_department":null,"school":null,"contributors":["Campbell, Roy H","Sinha, Saurabh"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-03-02T22:12:19Z","date_published":"2020-03-02T22:12:19Z","updated_at":"2026-07-22T22:24:45Z","subjects":["Cancer Risk Factors","Geographical Public Health"],"languages":["en"],"rights":["Copyright 2019 Meng-Yao Huang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/106348","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Campbell, Roy H","Sinha, Saurabh"]},{"key":"dc:creator","label":"Author","values":["Huang, Meng-Yao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-03-02T22:12:19Z","2022-03-03T10:15:27Z","2019-12-02","2019-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Bioengineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cancer Risk Factors","Geographical Public Health"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Meng-Yao Huang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/106348"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Cancer is the second leading cause of death in the United States and in the state of Illinois. With numerous research efforts put into finding the causes of cancers, many genomic cancer risk factors have been confirmed, e.g. the importance of HER2 gene in breast cancer growth. However, how the environmental factors and socioeconomic status influence the cancer development remains unclear. To understand more about how the environmental and socioeconomic factors lead to cancers, we analyzed a few well-known risk factors on county and ZIP Code levels, including pesticides use, poverty level, income, water pollution, tap water quality, and industrial wastes. In these analyses, no significant correlation was found between the cancer incidence rate and the environmental and socioeconomic factors. Since there is a lack of strong correlations, a cancer development model based on environmental and socioeconomic factors cannot be built. Instead, we analyzed the health data on geographical maps by visualizing the statistics of risk factors on county and ZIP Code levels on a map. Different types of environmental and socioeconomic factors of interest are overlaid on the map to show the statistics of Illinois. We believe the risk factor geographical maps can help clinicians with cancers diagnosis, as well as further understand the development of cancers.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01","The student, Meng-Yao Huang, accepted the attached license on 2019-11-19 at 11:39.","The student, Meng-Yao Huang, submitted this Thesis for approval on 2019-11-19 at 11:59.","This Thesis was approved for publication on 2019-12-02 at 09:54.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14564 on 2020-02-28 at 17:22:25","Made available in DSpace on 2020-03-02T22:12:19Z (GMT). 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With numerous research efforts put into finding the causes of cancers, many genomic cancer risk factors have been confirmed, e.g. the importance of HER2 gene in breast cancer growth. However, how the environmental factors and socioeconomic status influence the cancer development remains unclear. To understand more about how the environmental and socioeconomic factors lead to cancers, we analyzed a few well-known risk factors on county and ZIP Code levels, including pesticides use, poverty level, income, water pollution, tap water quality, and industrial wastes. In these analyses, no significant correlation was found between the cancer incidence rate and the environmental and socioeconomic factors. Since there is a lack of strong correlations, a cancer development model based on environmental and socioeconomic factors cannot be built. Instead, we analyzed the health data on geographical maps by visualizing the statistics of risk factors on county and ZIP Code levels on a map. Different types of environmental and socioeconomic factors of interest are overlaid on the map to show the statistics of Illinois. We believe the risk factor geographical maps can help clinicians with cancers diagnosis, as well as further understand the development of cancers.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01","The student, Meng-Yao Huang, accepted the attached license on 2019-11-19 at 11:39.","The student, Meng-Yao Huang, submitted this Thesis for approval on 2019-11-19 at 11:59.","This Thesis was approved for publication on 2019-12-02 at 09:54.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14564 on 2020-02-28 at 17:22:25","Made available in DSpace on 2020-03-02T22:12:19Z (GMT). No. of bitstreams: 2 HUANG-THESIS-2019.pdf: 893558 bytes, checksum: c5b6f34319646e457e748bb2e4cdf807 (MD5) LICENSE.txt: 4211 bytes, checksum: 61bc5cba25619b661bef5431c4374c7d (MD5) Previous issue date: 2019-12-02","Embargo set by: Seth Robbins for item 113889 Lift date: 2022-03-02T22:12:26Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 113889 Lift date: 2022-03-02T22:15:21Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 113889 Lift date: 2022-03-02T22:18:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 113889 on 2022-03-03T10:15:27Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/106348"],"dc:language":["en"],"dc:rights":["Copyright 2019 Meng-Yao Huang"],"dc:subject":["Cancer Risk Factors","Geographical Public Health"],"dc:title":["Geographical health data maps for Carle Foundation Hospital and the assessment of rural cancer rates in Illinois"],"dc:type":["text"],"thesis:degree_discipline":["Bioengineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:45Z"}