COVID-19 Modeling To Support Decision Making In Brazil: A Scoping Review

Rosa, M.; Bagattini, A. M.; Simon, L. M.; De Almeida, G. B.; Da Rosa, I. I. R.; Toscano, C. M.

Rosa, M.; Bagattini, A. M.; Simon, L. M.; De Almeida, G. B.; Da Rosa, I. I. R.; Toscano, C. M..

International Journal of Technology Assessment in Health Care ; 38(Supplement 1):S54, 2022.

Article in English | EMBASE | ID: covidwho-2221709

Keywords

Brazil; conference abstract; controlled study; coronavirus disease 2019; decision making; disease simulation; eligibility criteria; Embase; grey literature; hospitalization; human; interview; Medline; mitigation; pandemic; Preferred Repor

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies / Observational study / Randomized controlled trials / Reviews Country/Region as subject: South America / Brazil Language: English Journal: International Journal of Technology Assessment in Health Care Year: 2022 Document Type: Article

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