Fig 1.
The dataset provided by SESAB contained a total of 154,868 patients that were detected with COVID-19 in the state of Bahia, Brazil. After removing the patients with invalid data (e.g., notification year prior to 2020, length of hospital stay lower than zero, age lower than zero, unknown outcome), the dataset contained a total of 118,011 patients with valid registration. Finally, we removed the patients that were not admitted to a hospital, restricting our evaluation to a final count of 3,896 patients.
Table 1.
An overview of the dataset used in this study, according to the definitive outcome of hospitalized COVID-19 patients.
Table 2.
Risk factors associated with the mortality of hospitalized COVID-19 patients.
Table 3.
A matrix of p-values between hospitalized patients’ demographics, symptoms, medical history, length of hospital stay and time from diagnosis to definitive outcome.
Fig 2.
Pearson correlation matrix for age, length of hospital stay and time from diagnosis to definitive outcome variables.
“Time from diagn. to outc.” is an abbreviation for “Time from diagnosis to definitive outcome”.
Fig 3.
Box plot showing the length of hospital stay between hospitalized COVID-19 patients that reported and did not report shortness of breath as an initial symptom of COVID-19.
One-way ANOVA was used to estimate a significant p-value <0.001 for those variables.
Fig 4.
Box plot showing the time from diagnosis to definitive outcome between hospitalized COVID-19 patients that reported and did not report cough as an initial symptom of COVID-19.
One-way ANOVA was used to estimate a significant p-value <0.001 for those variables.
Fig 5.
Box plot showing the length of hospital stay between hospitalized COVID-19 female patients that had and did not have low-risk pregnancy.
One-way ANOVA was used to estimate a significant p-value = 0.001 for those variables.
Fig 6.
Box plot showing the length of hospital stay per race of the hospitalized COVID-19 patients.
One-way ANOVA was used to estimate a significant p-value <0.001 for those variables.
Table 4.
Risk factors associated with the length of hospital stay for hospitalized COVID-19 patients.