Source: Socio-Economic Planning Sciences. Unidade: ESALQ
Subjects: COVID-19, ESTATÍSTICAS DE SAÚDE
ABNT
DANELON, André Felipe e KUMBHAKAR, Subal C. Estimating COVID-19 under-reporting through stochastic frontier analysis and official statistics: A case study of São Paulo State, Brazil. Socio-Economic Planning Sciences, v. 90, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.seps.2023.101753. Acesso em: 28 out. 2024.APA
Danelon, A. F., & Kumbhakar, S. C. (2023). Estimating COVID-19 under-reporting through stochastic frontier analysis and official statistics: A case study of São Paulo State, Brazil. Socio-Economic Planning Sciences, 90, 1-11. doi:10.1016/j.seps.2023.101753NLM
Danelon AF, Kumbhakar SC. Estimating COVID-19 under-reporting through stochastic frontier analysis and official statistics: A case study of São Paulo State, Brazil [Internet]. Socio-Economic Planning Sciences. 2023 ; 90 1-11.[citado 2024 out. 28 ] Available from: https://doi.org/10.1016/j.seps.2023.101753Vancouver
Danelon AF, Kumbhakar SC. Estimating COVID-19 under-reporting through stochastic frontier analysis and official statistics: A case study of São Paulo State, Brazil [Internet]. Socio-Economic Planning Sciences. 2023 ; 90 1-11.[citado 2024 out. 28 ] Available from: https://doi.org/10.1016/j.seps.2023.101753