Table 2.
Univariate analyses |
Multivariate analysis |
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---|---|---|---|---|---|
SMR (95% CI) | p value | aSMR (95% CI) | p value | ||
Number of in-hospital cases accumulated from March 18 to May 11, 2020 | 1·0002 (1·0001–1·0003) | <0·0001 | 1·0004 (1·0002–1·001) | <0·0001 | |
Relative lag between first COVID-19-associated death and lockdown on March 17, 2020 | 1·03 (1·01–1·04) | 0·0009 | 1·04 (1·02–1·06) | 0·0001 | |
Population age structure estimated in 2020 per department | |||||
Class 1: high proportion aged 25–49 years | 1 (ref) | .. | 1 (ref) | .. | |
Class 2: high proportion aged <25 years | 0·85 (0·60–1·20) | 0·36 | 1·30 (0·92–1·83) | 0·14 | |
Class 3: high proportion aged 50–85 years | 0·74 (0·51–1·06) | 0·10 | 1·41 (0·89–2·22) | 0·14 | |
Class 4: high proportion aged >85 years | 0·96 (0·60–1·54) | 0·87 | 2·17 (1·20–3·90) | 0·010 | |
Number of intensive care beds in 2018 | 1·002 (1·0004–1·003) | 0·015 | 1·00 (0·99–1·003) | 0·57 | |
Number of new chloroquine and hydroxychloroquine dispensations in pharmacies from Jan 1 to April 19, 2020 | 1·001 (1·0002–1·001) | 0·0054 | 1·00 (0·99–1·001) | 0·28 | |
Baseline population health and health-care services | |||||
Class 1: high proportion of the population receiving home health assistance | 1 (ref) | .. | 1 (ref) | .. | |
Class 2: high health professional density | 1·19 (0·94–1·51) | 0·15 | 0·94 (0·69–1·29) | 0·70 | |
Class 3: high proportion of hospital stays | 1·07 (0·82–1·38) | 0·64 | 0·87 (0·61–1·23) | 0·42 |
Analyses were made using generalised additive models with a negative binomial regression, a Gaussian kriging smoother based on geographical coordinates, and log(population) as an offset. The multivariate model included confounders according to the directed acyclic graph. aSMRs were adjusted on the different cofactors, spatial structure, and the interaction between COVID-19 cases and temporal progression of the epidemic wave (p=0·062). SMR=standardised mortality ratio. aSMR=adjusted standardised mortality ratio. Ref=reference.