| Literature DB >> 33136249 |
William P Hanage1, Christian Testa2, Jarvis T Chen2, Letitia Davis3, Elise Pechter3, Peg Seminario4, Mauricio Santillana5, Nancy Krieger2.
Abstract
The United States (US) has been among those nations most severely affected by the first-and subsequent-phases of the pandemic of COVID-19, the disease caused by SARS-CoV-2. With only 4% of the worldwide population, the US has seen about 22% of COVID-19 deaths. Despite formidable advantages in resources and expertise, presently the per capita mortality rate is over 585/million, respectively 2.4 and 5 times higher compared to Canada and Germany. As we enter Fall 2020, the US is enduring ongoing outbreaks across large regions of the country. Moreover, within the US, an early and persistent feature of the pandemic has been the disproportionate impact on populations already made vulnerable by racism and dangerous jobs, inadequate wages, and unaffordable housing, and this is true for both the headline public health threat and the additional disastrous economic impacts. In this article we assess the impact of missteps by the Federal Government in three specific areas: the introduction of the virus to the US and the establishment of community transmission; the lack of national COVID-19 workplace standards and enforcement, and lack of personal protective equipment (PPE) for workplaces as represented by complaints to the Occupational Safety and Health Administration (OSHA) which we find are correlated with deaths 16 days later (ρ = 0.83); and the total excess deaths in 2020 to date already total more than 230,000, while COVID-19 mortality rates exhibit severe-and rising-inequities in race/ethnicity, including among working age adults.Entities:
Keywords: Border control; COVID-19; Health inequities; Occupational health; Pandemic preparedness; Trump administration
Mesh:
Year: 2020 PMID: 33136249 PMCID: PMC7604229 DOI: 10.1007/s10654-020-00689-2
Source DB: PubMed Journal: Eur J Epidemiol ISSN: 0393-2990 Impact factor: 8.082
Fig. 1National OSHA complaints and COVID—19 deaths per million (7 Day Average), January 16-September 18, 2020
Fig. 2Heatmaps showing the lagged correlations between OSHA complaint volume and COVID-19 cases and COVID-19 deaths, nationally and by US region, January 16, 2020—September 30, 2020
Estimation of excess deaths during the US COVID-19 pandemic, comparing weekly 2020 death counts to the corresponding average annual 2015–2019 deaths, using 4 different methodsa as of September 12, 2020
(Source: Centers for Disease Control and Prevention)
| Method | Crude excess | (95% CI) | Age-standardized excess rate per 100,000 person-yearsb | (95% CI) | Age-standardized cumulative incidence proportion per 100,000 populationc | (95% CI) | ||
|---|---|---|---|---|---|---|---|---|
| 1 | 324,813 | (323,696 | , 325,930) | 134.5 | (133.6 | , 135.4) | 82.5 | (82.0, 83.1) |
| 2 | 333,906 | (332,773 | , 335,038) | 138.3 | (137.4 | , 139.2) | 84.8 | (84.3, 85.4) |
| 3 | 286,425 | (285,376 | , 287,474) | 118.1 | (117.2 | , 118.9) | 72.4 | (71.9, 72.9) |
| 4 | 302,366 | (301,289 | , 303,444) | 124.9 | (124.0 | , 125.7) | 76.6 | (76.1, 77.1) |
aMethod 1: sum up over weeks and then age-standardize using the direct method
Method 2: count only age strata and weeks where the excess is greater than zero, and set weeks where the excess in the age stratum is less than zero to zero
Method 3: instead of comparing to the average deaths in 2015-2019, we compare to the 95% upper bound on the average deaths for 2015-2019
Method 4: we compare to the upper bound on the average deaths for 2015-2019, but once again ignore weeks where the excess in the age stratum is less than zero
bAge-standardized excess rate per 100,000 person-years is computed based on dividing the age-specific excess count of deaths under the four methods by the age-specific population person-time (taking into account the age-specific 2020 population counts and the elapsed time since January 1, 2020), weighting by the year 2000 standard million, and summing over age categories
cAge-standardized cumulative incidence proportion per 100,000 population (i.e. a risk per capita) is computed based on dividing the age-specific excess count of deaths under the four methods by the age-specific population count in 2020, weighting by the year 2000 standard million, and summing over age categories
Fig. 3Temporal trends in US age-specific racial/ethnic COVID-19 mortality rates, rate ratios, and rate differences: February 1—September 19, 2020