Bayesian spatio-temporal modeling of severe acute respiratory syndrome in Brazil: A comparative analysis across pre-, during, and post-COVID-19 eras.
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| Title: | Bayesian spatio-temporal modeling of severe acute respiratory syndrome in Brazil: A comparative analysis across pre-, during, and post-COVID-19 eras. |
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| Authors: | Souza Bulhões R; Department of Statistics, IME, Federal University of Bahia, Salvador, BA, Brazil.; Department of Statistical Methods, IM, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Pimentel JS; Department of Statistics, CCEN, Federal University of Pernambuco, Recife, PE, Brazil., Rodrigues PC; Department of Statistics, IME, Federal University of Bahia, Salvador, BA, Brazil.; Econometrics and Business Statistics, Monash University, Australia. |
| Source: | Infectious Disease Modelling [Infect Dis Model] 2024 Dec 19; Vol. 10 (2), pp. 466-476. Date of Electronic Publication: 2024 Dec 19 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: KeAi Communications Co., Ltd Country of Publication: China NLM ID: 101692406 Publication Model: eCollection Cited Medium: Internet ISSN: 2468-0427 (Electronic) Linking ISSN: 24680427 NLM ISO Abbreviation: Infect Dis Model Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39834649 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bayesian spatio-temporal modeling of severe acute respiratory syndrome in Brazil: A comparative analysis across pre-, during, and post-COVID-19 eras. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Souza+Bulhões+R%22">Souza Bulhões R</searchLink>; Department of Statistics, IME, Federal University of Bahia, Salvador, BA, Brazil.; Department of Statistical Methods, IM, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.<br /><searchLink fieldCode="AU" term="%22Pimentel+JS%22">Pimentel JS</searchLink>; Department of Statistics, CCEN, Federal University of Pernambuco, Recife, PE, Brazil.<br /><searchLink fieldCode="AU" term="%22Rodrigues+PC%22">Rodrigues PC</searchLink>; Department of Statistics, IME, Federal University of Bahia, Salvador, BA, Brazil.; Econometrics and Business Statistics, Monash University, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101692406%22">Infectious Disease Modelling</searchLink> [Infect Dis Model] 2024 Dec 19; Vol. 10 (2), pp. 466-476. <i>Date of Electronic Publication: </i>2024 Dec 19 (<i>Print Publication: </i>2025). – 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="%22KeAi+Communications+Co%2E%2C+Ltd%22">KeAi Communications Co., Ltd </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101692406 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2468-0427 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224680427%22">24680427 </searchLink><i>NLM ISO Abbreviation: </i>Infect Dis Model <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39834649 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.idm.2024.12.010 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 466 Titles: – TitleFull: Bayesian spatio-temporal modeling of severe acute respiratory syndrome in Brazil: A comparative analysis across pre-, during, and post-COVID-19 eras. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Souza Bulhões R – PersonEntity: Name: NameFull: Pimentel JS – PersonEntity: Name: NameFull: Rodrigues PC IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 12 Text: 2024 Dec 19 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2468-0427 Numbering: – Type: volume Value: 10 – Type: issue Value: 2 Titles: – TitleFull: Infectious Disease Modelling Type: main |
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