Table S1: Vaccine cohort description,,,,
,,,,
,All,Not vaccinated,Vaccinated,Missing data
,   N=6105   ,   N=2552   ,   N=3553   ,
Age >60 years,4113 (67.4%),1183 (46.4%),2930 (82.5%),0
Gender:,            ,            ,            ,0
    Female,3709 (60.8%),1538 (60.3%),2171 (61.1%),
    Male,2396 (39.2%),1014 (39.7%),1382 (38.9%),
History of COVID-19 infection,153 (2.51%) , 84 (3.29%) , 69 (1.94%) ,0
Country birth:,            ,            ,            ,32
    Canada,5466 (90.0%),2269 (89.4%),3197 (90.4%),
    Other,607 (10.00%),269 (10.6%) ,338 (9.56%) ,
Current living region:,            ,            ,            ,0
    Montreal,1831 (30.0%),487 (19.1%) ,1344 (37.8%),
    Other,4274 (70.0%),2065 (80.9%),2209 (62.2%),
Highest level of education:,            ,            ,            ,100
    0 - Less than high school/High school,752 (12.5%) ,304 (12.1%) ,448 (12.8%) ,
    1 - College,1677 (27.9%),771 (30.7%) ,906 (26.0%) ,
    2 - Graduate studies/University,3576 (59.6%),1439 (57.2%),2137 (61.2%),
Essential worker,563 (9.26%) ,323 (12.7%) ,240 (6.78%) ,25
Dwelling:,            ,            ,            ,2
    Apartment or condominium,1564 (25.6%),564 (22.1%) ,1000 (28.2%),
    Other, 19 (0.31%) , 8 (0.31%)  , 11 (0.31%) ,
    House,4468 (73.2%),1977 (77.5%),2491 (70.1%),
    Retirement home, 52 (0.85%) , 2 (0.08%)  , 50 (1.41%) ,
Annual household income before the pandemic:,            ,            ,            ,609
"    1 - <$50,000",1163 (21.2%),413 (17.8%) ,750 (23.6%) ,
"    2 - $50,000-$100,000",2228 (40.5%),878 (37.8%) ,1350 (42.5%),
"    3 - >$100,000",2105 (38.3%),1031 (44.4%),1074 (33.8%),
Monthly household income changed because of the COVID-19 pandemic:,            ,            ,            ,114
    1 -  Substantially decreased-Somewhat decreased,975 (16.3%) ,489 (19.4%) ,486 (14.0%) ,
    0 - No change-Somewhat increased-Substantially increased,5016 (83.7%),2030 (80.6%),2986 (86.0%),
Savings changed because of the COVID-19 pandemic:,            ,            ,            ,105
    1 - Substantially decreased-Somewhat decreased,828 (13.8%) ,400 (15.9%) ,428 (12.3%) ,
    0 - No change-Somewhat increased-Substantially increased,5172 (86.2%),2116 (84.1%),3056 (87.7%),
Impact of COVID-19 on the ability to meet financial obligations or essential needs:,            ,            ,            ,104
    0 - No impact-Minor impact,5578 (93.0%),2304 (91.5%),3274 (94.0%),
    1 - Moderate impact-Major impact,423 (7.05%) ,215 (8.54%) ,208 (5.97%) ,
Ethnicity: White,5557 (93.0%),2320 (92.4%),3237 (93.4%),129
Ethnicity: Black, 29 (0.49%) , 18 (0.72%) , 11 (0.32%) ,129
Ethnicity: Latin Hispanic, 46 (0.77%) , 28 (1.12%) , 18 (0.52%) ,129
Ethnicity: Arab, 55 (0.92%) , 29 (1.15%) , 26 (0.75%) ,129
Full time/self-employed,2174 (35.9%),1325 (52.2%),849 (24.2%) ,51
Part-time/self-employed,654 (10.8%) ,260 (10.2%) ,394 (11.2%) ,51
Looking after home and/or family,400 (6.61%) ,147 (5.79%) ,253 (7.20%) ,51
Unable to work because of sickness or disability,124 (2.05%) , 68 (2.68%) , 56 (1.59%) ,51
Unemployed, 92 (1.52%) , 56 (2.20%) , 36 (1.02%) ,51
Retired,3349 (55.3%),947 (37.3%) ,2402 (68.4%),51
Pre-existing medical conditions,4395 (72.0%),1707 (66.9%),2688 (75.7%),0
Current mental and emotional health:,            ,            ,            ,80
    0 – Poor,109 (1.81%) , 54 (2.14%) , 55 (1.57%) ,
    1 – Fair,609 (10.1%) ,287 (11.4%) ,322 (9.20%) ,
    2 – good,1354 (22.5%),586 (23.2%) ,768 (21.9%) ,
    3 – Very good,2458 (40.8%),1027 (40.7%),1431 (40.9%),
    4 – Excellent,1495 (24.8%),570 (22.6%) ,925 (26.4%) ,
Current mental and emotional health compared to before the pandemic:,            ,            ,            ,84
    0 – worse,1129 (18.8%),520 (20.6%) ,609 (17.4%) ,
    1 - about the same-better,4892 (81.2%),2003 (79.4%),2889 (82.6%),