covid
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rowid | country | region | region_code | start_date | end_date | days | year | week | population | total_deaths | covid_deaths | expected_deaths | excess_deaths | non_covid_deaths | covid_deaths_per_100k | excess_deaths_per_100k | excess_deaths_pct_change | cadence | month | total_deaths_per_7_days | covid_deaths_per_7_days | expected_deaths_per_7_days | excess_deaths_per_7_days | non_covid_deaths_per_7_days | covid_deaths_per_100k_per_7_days | excess_deaths_per_100k_per_7_days | quarter |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
437 | Brazil | Brazil | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 215313504 | 167728 | 8255 | 114732.701958128 | 52995.2980418722 | 159473 | 3.83394438650722 | 24.6130860616491 | 0.46190229234916 | monthly | 1 | 37874.064516129 | 1864.03225806452 | 25907.3843131256 | 11966.6802030034 | 36010.0322580645 | 0.865729377598405 | 5.55779362682398 | ||
21691 | Brazil | Brazil | 0 | 2022-01-01 | 2022-01-31 | 31 | 2022 | 215313504 | 167728 | 8255 | 114732.701958128 | 52995.2980418722 | 159473 | 3.83394438650722 | 24.6130860616491 | 0.461902292349158 | monthly | 1 | 37874.064516129 | 1864.03225806452 | 25907.3843131256 | 11966.6802030034 | 36010.0322580645 | 0.865729377598405 | 5.55779362682398 |