IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i5p5431-5444d36213.html
   My bibliography  Save this article

Geographical Distribution Patterns of Iodine in Drinking-Water and Its Associations with Geological Factors in Shandong Province, China

Author

Listed:
  • Jie Gao

    (Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China
    Shandong Institute of Prevention and Control for Endemic Disease, Jinan 250014, China)

  • Zhijie Zhang

    (Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

  • Yi Hu

    (Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

  • Jianchao Bian

    (Shandong Institute of Prevention and Control for Endemic Disease, Jinan 250014, China)

  • Wen Jiang

    (Shandong Institute of Prevention and Control for Endemic Disease, Jinan 250014, China)

  • Xiaoming Wang

    (Shandong Institute of Prevention and Control for Endemic Disease, Jinan 250014, China)

  • Liqian Sun

    (Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

  • Qingwu Jiang

    (Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
    Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China
    Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China)

Abstract

County-based spatial distribution characteristics and the related geological factors for iodine in drinking-water were studied in Shandong Province (China). Spatial autocorrelation analysis and spatial scan statistic were applied to analyze the spatial characteristics. Generalized linear models (GLMs) and geographically weighted regression (GWR) studies were conducted to explore the relationship between water iodine level and its related geological factors. The spatial distribution of iodine in drinking-water was significantly heterogeneous in Shandong Province (Moran’s I = 0.52, Z = 7.4, p < 0.001). Two clusters for high iodine in drinking-water were identified in the south-western and north-western parts of Shandong Province by the purely spatial scan statistic approach. Both GLMs and GWR indicated a significantly global association between iodine in drinking-water and geological factors. Furthermore, GWR showed obviously spatial variability across the study region. Soil type and distance to Yellow River were statistically significant at most areas of Shandong Province, confirming the hypothesis that the Yellow River causes iodine deposits in Shandong Province. Our results suggested that the more effective regional monitoring plan and water improvement strategies should be strengthened targeting at the cluster areas based on the characteristics of geological factors and the spatial variability of local relationships between iodine in drinking-water and geological factors.

Suggested Citation

  • Jie Gao & Zhijie Zhang & Yi Hu & Jianchao Bian & Wen Jiang & Xiaoming Wang & Liqian Sun & Qingwu Jiang, 2014. "Geographical Distribution Patterns of Iodine in Drinking-Water and Its Associations with Geological Factors in Shandong Province, China," IJERPH, MDPI, vol. 11(5), pages 1-14, May.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:5:p:5431-5444:d:36213
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/5/5431/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/11/5/5431/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aletta Dijkstra & Fanny Janssen & Marinus De Bakker & Jens Bos & René Lub & Leo J G Van Wissen & Eelko Hak, 2013. "Using Spatial Analysis to Predict Health Care Use at the Local Level: A Case Study of Type 2 Diabetes Medication Use and Its Association with Demographic Change and Socioeconomic Status," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
    2. Zhao, J. & Wang, P. & Shang, L. & Sullivan, K.M. & Van der Haar, F. & Maberly, G., 2000. "Endemic goiter associated with high iodine intake," American Journal of Public Health, American Public Health Association, vol. 90(10), pages 1633-1635.
    3. Chia-Hsien Lin & Tzai-Hung Wen, 2011. "Using Geographically Weighted Regression (GWR) to Explore Spatial Varying Relationships of Immature Mosquitoes and Human Densities with the Incidence of Dengue," IJERPH, MDPI, vol. 8(7), pages 1-18, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Khalid Al-Ahmadi & Ali Al-Zahrani, 2013. "NO 2 and Cancer Incidence in Saudi Arabia," IJERPH, MDPI, vol. 10(11), pages 1-19, November.
    2. Pablo Villalobos Dintrans, 2018. "Do long-term care services match population needs? A spatial analysis of nursing homes in Chile," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-15, June.
    3. Ruoqi Ma & Mingquan Yan & Peng Han & Ting Wang & Bin Li & Shungui Zhou & Tong Zheng & Yandi Hu & Alistair G. L. Borthwick & Chunmiao Zheng & Jinren Ni, 2022. "Deficiency and excess of groundwater iodine and their health associations," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    4. Mehmet Burak Kaya & Onur Alisan & Alican Karaer & Eren Erman Ozguven, 2024. "Assessing Tornado Impacts in the State of Kentucky with a Focus on Demographics and Roadways Using a GIS-Based Approach," Sustainability, MDPI, vol. 16(3), pages 1-27, January.
    5. Sébastien Lamy & Denis Ducros & Chloé Diméglio & Hélène Colineaux & Romain Fantin & Eloïse Berger & Pascale Grosclaude & Cyrille Delpierre & Béatrice Bouhanick, 2017. "Disentangling the influence of living place and socioeconomic position on health services use among diabetes patients: A population-based study," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-14, November.
    6. Hsin-Ling Yeh & Shang-Wei Hsu & Yu-Chia Chang & Ta-Chien Chan & Hui-Chen Tsou & Yen-Chen Chang & Po-Huang Chiang, 2017. "Spatial Analysis of Ambient PM 2.5 Exposure and Bladder Cancer Mortality in Taiwan," IJERPH, MDPI, vol. 14(5), pages 1-14, May.
    7. Kashnitsky, Ilya, 2020. "Changing regional inequalities in ageing across Europe," OSF Preprints 6m4kg, Center for Open Science.
    8. Boris Kauhl & Werner Maier & Jürgen Schweikart & Andrea Keste & Marita Moskwyn, 2018. "Who is where at risk for Chronic Obstructive Pulmonary Disease? A spatial epidemiological analysis of health insurance claims for COPD in Northeastern Germany," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-18, February.
    9. Cyprian Chwiałkowski & Adam Zydroń & Dariusz Kayzer, 2022. "Assessing the Impact of Selected Attributes on Dwelling Prices Using Ordinary Least Squares Regression and Geographically Weighted Regression: A Case Study in Poznań, Poland," Land, MDPI, vol. 12(1), pages 1-20, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:11:y:2014:i:5:p:5431-5444:d:36213. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.