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Epidemiology of COVID-19 in Brazil: using a mathematical model to estimate the outbreak peak and temporal evolution.
Tang, Yuanji; Serdan, Tamires D A; Masi, Laureane N; Tang, Sherry; Gorjao, Renata; Hirabara, Sandro M.
Affiliation
  • Tang Y; Applied NanoFemto Technologies, LLC, Lowell, MA, USA.
  • Serdan TDA; Interdisciplinary Program of Health Sciences, Cruzeiro do Sul University, Sao Paulo, Brazil.
  • Masi LN; Interdisciplinary Program of Health Sciences, Cruzeiro do Sul University, Sao Paulo, Brazil.
  • Tang S; Kaiser Southern California Permanente Medical Group, Riverside, CA, USA.
  • Gorjao R; Interdisciplinary Program of Health Sciences, Cruzeiro do Sul University, Sao Paulo, Brazil.
  • Hirabara SM; Interdisciplinary Program of Health Sciences, Cruzeiro do Sul University, Sao Paulo, Brazil.
Emerg Microbes Infect ; 9(1): 1453-1456, 2020 Dec.
Article in En | MEDLINE | ID: mdl-32552473
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Full text: 1 Database: MEDLINE Main subject: Pneumonia, Viral / Disease Outbreaks / Models, Statistical / Coronavirus Infections Type of study: Observational_studies / Risk_factors_studies / Screening_studies Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Emerg Microbes Infect Year: 2020 Type: Article Affiliation country: United States
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Pneumonia, Viral / Disease Outbreaks / Models, Statistical / Coronavirus Infections Type of study: Observational_studies / Risk_factors_studies / Screening_studies Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Emerg Microbes Infect Year: 2020 Type: Article Affiliation country: United States