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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10179 | Malaysia | Malaysia | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 33938216 | 13827 | 0 | 14514.192113273 | -687.192113273002 | 13827 | 0.0 | -2.02483275276756 | -0.0473462186465463 | monthly | 2 | 3337.55172413793 | 0.0 | 3503.42568251417 | -165.873958376242 | 3337.55172413793 | 0.0 | -0.488752733426653 | ||
22331 | Malaysia | Malaysia | 0 | 2020-02-01 | 2020-02-29 | 29 | 2020 | 33938216 | 13827 | 0 | 14514.192113273 | -687.192113273002 | 13827 | 0.0 | -2.02483275276756 | -0.0473462186465462 | monthly | 2 | 3337.55172413793 | 0.0 | 3503.42568251417 | -165.873958376242 | 3337.55172413793 | 0.0 | -0.488752733426653 | ||
10178 | Malaysia | Malaysia | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 33938216 | 16028 | 0 | 15557.5768731374 | 470.423126862621 | 16028 | 0.0 | 1.38611624978349 | 0.0302375576028733 | monthly | 1 | 3619.22580645161 | 0.0 | 3513.00122941812 | 106.224577033495 | 3619.22580645161 | 0.0 | 0.312993991886595 | ||
22330 | Malaysia | Malaysia | 0 | 2020-01-01 | 2020-01-31 | 31 | 2020 | 33938216 | 16028 | 0 | 15557.5768731374 | 470.423126862621 | 16028 | 0.0 | 1.38611624978349 | 0.0302375576028719 | monthly | 1 | 3619.22580645161 | 0.0 | 3513.00122941812 | 106.224577033495 | 3619.22580645161 | 0.0 | 0.312993991886595 |