Firouraghi Neda, Bagheri Nasser, Kiani Fatemeh, Goshayeshi Ladan, Ghayour-Mobarhan Majid, Kimiafar Khalil, Eslami Saeid, Kiani Behzad
Department of Medical Informatics, School of Medicine, Mashhad University of Medical Science, Mashhad, Iran.
Visualization and Decision Analytics (VIDEA) Lab, Centre for Mental Health Research, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.
BMC Res Notes. 2020 Oct 2;13(1):466. doi: 10.1186/s13104-020-05310-z.
Colorectal cancer (CRC) is the third most common cancer across the world that multiple risk factors together contribute to CRC development. There is a limited research report on impact of nutritional risk factors and spatial variation of CRC risk. Geographical information system (GIS) can help researchers and policy makers to link the CRC incidence data with environmental risk factor and further spatial analysis generates new knowledge on spatial variation of CRC risk and explore the potential clusters in the pattern of incidence. This spatial analysis enables policymakers to develop tailored interventions. This study aims to release the datasets, which we have used to conduct a spatial analysis of CRC patients in the city of Mashhad, Iran between 2016 and 2017.
These data include five data files. The file CRCcases_Mashhad contains the geographical locations of 695 CRC cancer patients diagnosed between March 2016 and March 2017 in the city of Mashhad. The Mashhad_Neighborhoods file is the digital map of neighborhoods division of the city and their population by age groups. Furthermore, these files include contributor risk factors including average of daily red meat consumption, average of daily fiber intake, and average of body mass index for every of 142 neighborhoods of the city.
结直肠癌(CRC)是全球第三大常见癌症,多种风险因素共同导致结直肠癌的发生。关于营养风险因素对结直肠癌风险的影响及空间变异的研究报告有限。地理信息系统(GIS)可帮助研究人员和政策制定者将结直肠癌发病率数据与环境风险因素相联系,进一步的空间分析可产生关于结直肠癌风险空间变异的新知识,并探索发病率模式中的潜在聚集区。这种空间分析使政策制定者能够制定针对性的干预措施。本研究旨在发布我们在2016年至2017年期间用于对伊朗马什哈德市的结直肠癌患者进行空间分析的数据集。
这些数据包括五个数据文件。文件CRCcases_Mashhad包含2016年3月至2017年3月期间在马什哈德市诊断出的695名结直肠癌患者的地理位置。Mashhad_Neighborhoods文件是该市社区划分及其按年龄组划分的人口的数字地图。此外,这些文件还包括该市142个社区中每个社区的贡献风险因素,包括每日红肉消费量平均值、每日纤维摄入量平均值和体重指数平均值。