Statistical methods for linking geostatistical maps and transmission models: Application to lymphatic filariasis in East Africa.

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作者： Panayiota,Touloupou ^[1] ; Renata,Retkute ^[2] ; T Déirdre,Hollingsworth ^[3] ; Simon E F,Spencer ^[4]

作者单位： School of Mathematics, University of Birmingham, Birmingham, UK. Electronic address: P.Touloupou@bham.ac.uk. ^[1] Department of Plant Sciences, University of Cambridge, Cambridge, UK. Electronic address: rr614@cam.ac.uk. ^[2] Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK. Electronic address: Deirdre.Hollingsworth@bdi.ox.ac.uk. ^[3] Department of Statistics, University of Warwick, Coventry, UK; Zeeman Institute, University of Warwick, Coventry, UK. Electronic address: S.E.F.Spencer@warwick.ac.uk. ^[4]

关键词 Bayesian methods Fine-scale spatial predictions Linking maps with models Lymphatic filariasis Projections Uncertainty

主题词非洲, 东部(Africa, Eastern);贝叶斯定理(Bayes Theorem);象皮病, 丝虫性(Elephantiasis, Filarial);人类(Humans);模型, 统计学(Models, Statistical);模型, 理论(Models, Theoretical);患病率(Prevalence)

DOI 10.1016/j.sste.2020.100391

PMID 35691660

发布时间 2022-07-16

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