The SRAG line list dataset from Brazil provides 154 metadata fields for each patient. No unique ID is provided per patient. The date that the case notification form to SRAG was filled out (‘DT_NOTIFIC’) is used as the date of confirmation of the patient in our database, and is provided 100% of the time. 

Geographic data is provided to the municipality level, both in the form of a name (‘ID_MUNICIP’) and code (‘CO_MUN_NOT’). The information contained in the code was used to map to the correct latitude and longitude and provide the municipality name of each patient to avoid possible issues with spelling. The state-level information was also provided in the form of a code (‘SG_UF_NOT’) which was mapped to the respective state name. International travel within 14 days before symptoms appear is recorded in the data (‘HISTO_VGM’). Patient outcome (‘EVOLUCAO’) is indicated as a recovery or death, with a distinction made for death from other causes. When this is the case, this is added to the notes field of the G.h schema. The data contains extensive information regarding patient demographics, reporting on age (‘NU_IDADE_N’), sex (‘CS_SEXO’), and ethnicity (‘CS_RACA’), as well as reporting on the presence of 10 and 12 comorbidities and symptoms, respectively. 

Since the SRAG database is very rich and detailed compared to most countries, not all of the fields provided in the original data fit our global schema. Interesting information such as whether the patient had a flu vaccine during the previous vaccination campaign (‘VACINA’) or results of a possible chest X-ray (‘RAIOX_RES’) does not yet have a dedicated field in our schema but can be obtained from the original data. In addition, recent changes to the dataset include reporting on whether the patient has been vaccinated against COVID-19 (‘VACINA_COV’) and goes on to report details such as dates of 1st and 2nd doses (‘DOSE_1_COV’ and ‘DOSE_2_COV’, respectively) as well as the lot numbers of both 1st and 2nd doses (‘LOTE_1_COV’ and ‘LOTE_2_COV’, respectively). Further iterations of the parser may try to partly capture this data by including it in the notes field.

Importantly, the Brazilian SRAG dataset records all cases of individuals with syndromes consistent with severe respiratory infections rather than all COVID-19 cases. Although the total dataset as of 26 July 2021 included 2,497,568 individuals, only a subset of these correspond to confirmed COVID-19 cases, which are filtered as described above. In addition, because this dataset records the subset of cases with more severe outcomes requiring hospitalization, so if users are interested in analyzing features related to all cases, the SRAG database represents a biased subset of the true total. Within the Global.health database, we have some Brazilian state-specific line lists (e.g. for the State of São Paulo), which while more complete with respect to all infections detected in that state, lack the richness in clinical metadata. As a result, we recommend that users filter the database by source depending on what their analyses require.