A stabilized spatiotemporal kriging method for disease mapping and application to male oral cancer and female breast cancer in Taiwan.
Mapping spacetime disease rates can provide a more in-depth understanding of their distribution and trends. Traditional spatiotemporal kriging methods can break the constraints of geopolitical boundaries and time intervals. Still, disease rates in densely and sparsely populated areas are stabilized...
| Publicado en: | BMC Medical Research Methodology Vol. 22; no. 1; pp. 1 - 11 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
10/13/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159661574&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159661574 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14712288 1CI1 jtl: BMC Medical Research Methodology issn: 14712288 maglogo: N pubinfo: dt: 10/13/2022 vid: 22 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 159661574 159661574 NLM36229788 159661574 10.1186/s12874-022-01749-9 NLM36229788 159661574 ppf: 1 ppct: 10 formats: tig: atl: A stabilized spatiotemporal kriging method for disease mapping and application to male oral cancer and female breast cancer in Taiwan. aug: au: Tsai, Dai-Rong Jhuang, Jing-Rong Su, Shih-Yung Chiang, Chun-Ju Yang, Ya-Wen Lee, Wen-Chung affil: Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Rm. 536, No. 17, Xuzhou Rd., 100, Taipei, Taiwan sug: subj: Breast Neoplasms Epidemiology Mouth Neoplasms Epidemiology Female Statistics Methods Male Taiwan Incidence Female Male ab: Mapping spacetime disease rates can provide a more in-depth understanding of their distribution and trends. Traditional spatiotemporal kriging methods can break the constraints of geopolitical boundaries and time intervals. Still, disease rates in densely and sparsely populated areas are stabilized to the same degree, resulting in a map that is oversmoothed in some places but undersmoothed in others. The stabilized spatiotemporal kriging method proposed in this study overcomes this problem by allowing for nonconstant variances over space and time. A spatiotemporal map of the standardized incidence ratio for oral cancer in men in Taiwan between 1997 and 2017 reveals that the high-risk areas for oral cancer are in the midwestern and southeastern regions of Taiwan, spreading toward the center and north, with persistent cold spots in the northern and southwestern urban regions. However, the corresponding map for breast cancer in women in Taiwan reveals that the high-risk areas for breast cancer are concentrated in densely populated urban regions in the west. Spatiotemporal maps facilitate our understanding of disease risk dynamics. We recommend using the proposed stabilized spatiotemporal kriging method for mapping disease rates across space and time. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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