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An anonymized dataset containing cases of Severe Acute Respiratory Illness (SARI) cases from the Brazilian municipality, Belo Horizonte, with symptom onset varying from 2019-12-29 to 2022-03-27.

Usage

sari_bh

Format

A data frame with 65404 rows and 5 variables:

symptom_onset_date

Date of onset symptoms, formatted in ISO8601 as YYYY-MM-DD.

record_date

Date the case was recorded in the surveillance system, formatted in ISO8601 as YYYY-MM-DD. May be NA when no record date was available.

final_classification

Final classification of the case: one of "Influenza", "Other respiratory virus", "Other ethiological agent", "Not specified", or "COVID-19".

case_evolution

Case evolution outcome: one of "Cured", "Dead", "Dead (other causes)", "Unknown", or "Not in dictionary".

age_yrs

Age of the patient in years.

References

From the nowcaster package. Bastos, S L, Economou, Theodoros, Gomes, FC M, Villela, AM D, Coelho, C F, Cruz, G O, Stoner, Oliver, Bailey, Trevor, Codeço, T C (2019). “A Modelling approach for correcting reporting delays in disease surveillance data.” Statistics in medicine, 38(22), 4363-4377. doi:10.1002/sim.8303 https://doi.org/10.1002/sim.8303.