Predicting the Number of Reported Pulmonary Tuberculosis in Guiyang, China, Based on Time Series Analysis Techniques.
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| Title: | Predicting the Number of Reported Pulmonary Tuberculosis in Guiyang, China, Based on Time Series Analysis Techniques. |
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| Authors: | Yang SX; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China., Xu HF; School of Economics and Management, Guizhou Normal University, Guiyang 550025, China., Mao YJ; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China., Liang ZH; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China., Pan CL; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.; Guiyang Center for Disease Control and Prevention, Guiyang 550001, China. |
| Source: | Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Oct 30; Vol. 2022, pp. 7828131. Date of Electronic Publication: 2022 Oct 30 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Hindawi Country of Publication: United States NLM ID: 101277751 Publication Model: eCollection Cited Medium: Internet ISSN: 1748-6718 (Electronic) Linking ISSN: 1748670X NLM ISO Abbreviation: Comput Math Methods Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36349145 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting the Number of Reported Pulmonary Tuberculosis in Guiyang, China, Based on Time Series Analysis Techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yang+SX%22">Yang SX</searchLink>; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.<br /><searchLink fieldCode="AU" term="%22Xu+HF%22">Xu HF</searchLink>; School of Economics and Management, Guizhou Normal University, Guiyang 550025, China.<br /><searchLink fieldCode="AU" term="%22Mao+YJ%22">Mao YJ</searchLink>; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.<br /><searchLink fieldCode="AU" term="%22Liang+ZH%22">Liang ZH</searchLink>; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.<br /><searchLink fieldCode="AU" term="%22Pan+CL%22">Pan CL</searchLink>; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China.; Guiyang Center for Disease Control and Prevention, Guiyang 550001, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101277751%22">Computational and mathematical methods in medicine</searchLink> [Comput Math Methods Med] 2022 Oct 30; Vol. 2022, pp. 7828131. <i>Date of Electronic Publication: </i>2022 Oct 30 (<i>Print Publication: </i>2022). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Hindawi%22">Hindawi </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101277751 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1748-6718 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221748670X%22">1748670X </searchLink><i>NLM ISO Abbreviation: </i>Comput Math Methods Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36349145 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2022/7828131 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 7828131 Titles: – TitleFull: Predicting the Number of Reported Pulmonary Tuberculosis in Guiyang, China, Based on Time Series Analysis Techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang SX – PersonEntity: Name: NameFull: Xu HF – PersonEntity: Name: NameFull: Mao YJ – PersonEntity: Name: NameFull: Liang ZH – PersonEntity: Name: NameFull: Pan CL IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 10 Text: 2022 Oct 30 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1748-6718 Numbering: – Type: volume Value: 2022 Titles: – TitleFull: Computational and mathematical methods in medicine Type: main |
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