Your browser doesn't support javascript.
Long-term forecasts of the COVID-19 epidemic: a dangerous idea.
Martinez, Edson Zangiacomi; Aragon, Davi Casale; Nunes, Altacílio Aparecido.
  • Martinez EZ; Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil.
  • Aragon DC; Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil.
  • Nunes AA; Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil.
Rev Soc Bras Med Trop ; 53: e20200481, 2020.
Article in English | MEDLINE | ID: covidwho-740418
ABSTRACT

INTRODUCTION:

Mathematical models have been used to obtain long-term forecasts of the COVID-19 epidemic.

METHODS:

The daily COVID-19 case count in two Brazilian states was used to show the potential limitations of long-term forecasting through the application of a mathematical model to the data.

RESULTS:

The predicted number of cases at the end of the epidemic and at the moment that the peak occurs, is highly dependent on the length of the time series used in the predictive model.

CONCLUSIONS:

Predictions obtained during the course of the COVID-19 pandemic need to be viewed with caution.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Coronavirus / Pandemics Type of study: Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Rev Soc Bras Med Trop Year: 2020 Document Type: Article Affiliation country: 0037-8682-0481-2020

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Coronavirus / Pandemics Type of study: Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Rev Soc Bras Med Trop Year: 2020 Document Type: Article Affiliation country: 0037-8682-0481-2020