دورية أكاديمية
Was the COVID-19 epidemic synchronous in space? An analysis in the health regions of the Rio de Janeiro state, 2020-2022.
| العنوان: | Was the COVID-19 epidemic synchronous in space? An analysis in the health regions of the Rio de Janeiro state, 2020-2022. |
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| المؤلفون: | Amaral LF; Fundação Oswaldo Cruz, National School of Public Health - Rio de Janeiro (RJ), Brazil., Lana RM; Barcelona Supercomputing Center - Barcelona, Spain., Bastos LS; Fundação Oswaldo Cruz, Scientific Computing Program - Rio de Janeiro (RJ), Brazil. |
| المصدر: | Revista brasileira de epidemiologia = Brazilian journal of epidemiology [Rev Bras Epidemiol] 2024 Feb 26; Vol. 27, pp. e240010. Date of Electronic Publication: 2024 Feb 26 (Print Publication: 2024). |
| نوع المنشور: | Journal Article |
| اللغة: | English; Portuguese |
| بيانات الدورية: | Publisher: Associação Brasileira de Pós-Graduação em Saúde Coletiva Country of Publication: Brazil NLM ID: 100954576 Publication Model: eCollection Cited Medium: Internet ISSN: 1980-5497 (Electronic) Linking ISSN: 1415790X NLM ISO Abbreviation: Rev Bras Epidemiol Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: São Paulo, SP, Brasil : Associação Brasileira de Pós-Graduação em Saúde Coletiva, 1998- |
| مواضيع طبية MeSH: | COVID-19*/epidemiology, Humans ; Brazil/epidemiology ; Spatio-Temporal Analysis ; Pandemics ; Incidence |
| مستخلص: | Objective: To analyze the spatio-temporal dynamics of COVID-19 in the Rio de Janeiro state within the nine health regions, between March 2020 and December 2022. Methods: The Poisson model with random effects was used to smooth and estimate the incidence of COVID-19 hospitalizations reported in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) to verify the synchronicity of the epidemic in the state. Results: The COVID-19 epidemic in the state is characterized by the presence of seven peaks during the analyzed period corresponding to seven found. An asynchrony in hospitalizations was identified, varying according to the different virus variants in the nine health regions of the state. The incidence peaks of hospitalizations ranged from 1 to 12 cases per 100,000 inhabitants during the pandemic. Conclusion: This spatio-temporal analysis is applicable to other scenarios, enabling monitoring and decision-making for the control of epidemic diseases in different areas. |
| References: | J Bras Pneumol. 2020 Jun 17;46(4):e20200208. (PMID: 32578681) Front Public Health. 2020 Jul 28;8:418. (PMID: 32850607) Front Immunol. 2021 Nov 09;12:747830. (PMID: 34858404) Proc Natl Acad Sci U S A. 2020 Dec 1;117(48):30104-30106. (PMID: 33172993) One Health. 2021 Dec;13:100287. (PMID: 34222607) PLoS One. 2020 Sep 18;15(9):e0238214. (PMID: 32946442) Turk J Med Sci. 2020 Apr 15;50(SI-1):549-556. (PMID: 32293832) J Travel Med. 2020 May 18;27(3):. (PMID: 32211799) Epidemiol Serv Saude. 2020 Jun 22;29(3):e2020233. (PMID: 32609142) Science. 2020 May 22;368(6493):860-868. (PMID: 32291278) N Engl J Med. 2022 Feb 10;386(6):599-601. (PMID: 35030645) Lancet Public Health. 2020 May;5(5):e240. (PMID: 32247329) Immunology. 2020 Jul;160(3):223-232. (PMID: 32460358) |
| تواريخ الأحداث: | Date Created: 20240229 Date Completed: 20240304 Latest Revision: 20240304 |
| رمز التحديث: | 20240304 |
| مُعرف محوري في PubMed: | PMC10896236 |
| DOI: | 10.1590/1980-549720240010 |
| PMID: | 38422234 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1980-5497 |
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| DOI: | 10.1590/1980-549720240010 |