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Estimation and prediction of COVID-19 cases in Brazilian metropolises / Estimação e predição dos casos de COVID-19 nas metrópoles brasileiras / Estimación y predicción de casos de COVID-19 en metrópolis brasileñas
Sousa, George Jó Bezerra; Garces, Thiago Santos; Cestari, Virna Ribeiro Feitosa; Moreira, Thereza Maria Magalhães; Florêncio, Raquel Sampaio; Pereira, Maria Lúcia Duarte.
  • Sousa, George Jó Bezerra; Universidade Estadual do Ceará. BR
  • Garces, Thiago Santos; Universidade Estadual do Ceará. BR
  • Cestari, Virna Ribeiro Feitosa; Universidade Estadual do Ceará. BR
  • Moreira, Thereza Maria Magalhães; Universidade Estadual do Ceará. BR
  • Florêncio, Raquel Sampaio; Universidade Estadual do Ceará. BR
  • Pereira, Maria Lúcia Duarte; Universidade Estadual do Ceará. BR
Rev. latinoam. enferm. (Online) ; 28: e3345, 2020.
Article in English | BDENF, LILACS | ID: biblio-1103341
ABSTRACT
Objective to estimate the transmission rate, the epidemiological peak, and the number of deaths by the new coronavirus. Method a mathematical and epidemiological model of susceptible, infected, and recovered cases was applied to the nine Brazilian capitals with the highest number of cases of the infection. The number of cases for the 80 days following the first case was estimated by solving the differential equations. The results were logarithmized and compared with the actual values to observe the model fit. In all scenarios, it was considered that no preventive measures had been taken. Results the nine metropolises studied showed an upward curve of confirmed cases of COVID-19. The prediction data point to the peak of the infection between late April and early May. Fortaleza and Manaus had the highest transmission rates (≥2·0 and ≥1·8, respectively). Rio de Janeiro may have the largest number of infected people (692,957) and Florianópolis the smallest (24,750). Conclusion the estimates of the transmission rate, epidemiological peak, and number of deaths from coronavirus in Brazilian metropolises presented expressive and important numbers the Brazilian Ministry of Health needs to consider. The results confirm the rapid spread of the virus and its high mortality in the country.(AU)
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Full text: Available Index: LILACS (Americas) Main subject: Pneumonia, Viral / Social Isolation / Coronavirus Infections Type of study: Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev. latinoam. enferm. (Online) Journal subject: Nursing Year: 2020 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Estadual do Ceará/BR

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Full text: Available Index: LILACS (Americas) Main subject: Pneumonia, Viral / Social Isolation / Coronavirus Infections Type of study: Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev. latinoam. enferm. (Online) Journal subject: Nursing Year: 2020 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Estadual do Ceará/BR