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
15016,Lithuania,Lithuania,0,2022-05-09,2022-05-15,7,2022,19,2750058,717,9,669.835112359564,47.1648876404359,708,0.327265824938965,1.71505065131121,0.0704126833158876,weekly,,,,,,,,,
18431,Lithuania,Lithuania,0,2022-05-09,2022-05-15,7,2022,19,2750058,717,9,669.835112359564,47.1648876404359,708,0.327265824938965,1.71505065131121,0.0704126833158876,weekly,,,,,,,,,
14964,Lithuania,Lithuania,0,2021-05-10,2021-05-16,7,2021,19,2750058,866,70,688.428089887664,177.571910112336,796,2.54540086063639,6.45702418321126,0.257938211297148,weekly,,,,,,,,,
18379,Lithuania,Lithuania,0,2021-05-10,2021-05-16,7,2021,19,2750058,866,70,688.428089887664,177.571910112336,796,2.54540086063639,6.45702418321125,0.257938211297147,weekly,,,,,,,,,
14911,Lithuania,Lithuania,0,2020-05-04,2020-05-10,7,2020,19,2750058,717,3,707.021067415764,9.97893258423562,714,0.109088608312988,0.362862622687799,0.0141140526699013,weekly,,,,,,,,,
18326,Lithuania,Lithuania,0,2020-05-04,2020-05-10,7,2020,19,2750058,717,3,707.021067415764,9.97893258423562,714,0.109088608312988,0.362862622687799,0.0141140526699008,weekly,,,,,,,,,