Age-dependence of mortality from novel coronavirus disease (COVID-19) in highly exposed populations: New York transit workers and residents and Diamond Princess passengers

Leffler, Christopher T.; Hogan, Matthew

doi:10.1101/2020.05.14.20094847

Cited by 10 publications

(10 citation statements)

References 1 publication

(4 reference statements)

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“…The prognostic power of future biomarker analyses for COVID‐19 mortality should be trended over time and account for the degree of renal dysfunction 76 . Finally, in consideration of the immense COVID‐19 global mortality, over 360 000 deaths, 77 with over 100 000 deaths in the US alone 78 at the time of manuscript submission, despite our relatively large sample size, our data will require ongoing supplementation, to overcome inherent statistical bias and confirming our results.…”

Section: Discussionmentioning

confidence: 82%

Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID‐19 patients: A meta‐regression and decision tree analysis

Toraih

Elshazli

Hussein

et al. 2020

Journal of Medical Virology

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Background: Coronavirus disease-2019 (COVID-19) has a deleterious effect on several systems, including the cardiovascular system. We aim to systematically explore the association of COVID-19 severity and mortality rate with the history of cardiovascular diseases and/or other comorbidities and cardiac injury laboratory markers. Methods: The standardized mean difference (SMD) or odds ratio (OR) and 95% confidence intervals (CIs) were applied to estimate pooled results from the 56 studies. The prognostic performance of cardiac markers for predicting adverse outcomes and to select the best cutoff threshold was estimated by receiver operating characteristic curve analysis. Decision tree analysis by combining cardiac markers with demographic and clinical features was applied to predict mortality and severity in patients with COVID-19.

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Section: Discussionmentioning

confidence: 82%

Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID‐19 patients: A meta‐regression and decision tree analysis

Toraih

Elshazli

Hussein

et al. 2020

Journal of Medical Virology

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“…Higher mortality has been observed in older populations and in men. 2 , 3 Patient-level behaviors, such as smoking, might also have an impact. 3 Other potentially relevant factors include economic activity, and environmental variation, such as temperature.…”

Section: Introductionmentioning

confidence: 99%

Association of Country-wide Coronavirus Mortality with Demographics, Testing, Lockdowns, and Public Wearing of Masks

Leffler

Ing

Lykins

et al. 2020

The American Journal of Tropical Medicine and Hygiene

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172

220

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We studied sources of variation between countries in per-capita mortality from COVID-19 (caused by the SARS-CoV-2 virus). Potential predictors of per-capita coronavirus-related mortality in 200 countries by May 9, 2020 were examined, including age, gender, obesity prevalence, temperature, urbanization, smoking, duration of the outbreak, lockdowns, viral testing, contact-tracing policies, and public mask-wearing norms and policies. Multivariable linear regression analysis was performed. In univariate analysis, the prevalence of smoking, per-capita gross domestic product, urbanization, and colder average country temperature was positively associated with coronavirus-related mortality. In a multivariable analysis of 196 countries, the duration of the outbreak in the country, and the proportion of the population aged 60 years or older were positively associated with per-capita mortality, whereas duration of mask-wearing by the public was negatively associated with mortality (all P < 0.001). Obesity and less stringent international travel restrictions were independently associated with mortality in a model which controlled for testing policy. Viral testing policies and levels were not associated with mortality. Internal lockdown was associated with a nonsignificant 2.4% reduction in mortality each week (P = 0.83). The association of contact-tracing policy with mortality was not statistically significant (P = 0.06). In countries with cultural norms or government policies supporting public mask-wearing, per-capita coronavirus mortality increased on average by just 16.2% each week, as compared with 61.9% each week in remaining countries. Societal norms and government policies supporting the wearing of masks by the public, as well as international travel controls, are independently associated with lower per-capita mortality from COVID-19.

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“…By combining demographic data obtained from the four articles published in the past 20 years, we were able to make comparisons with the NYC metro area transit worker decedent data. The four most recent studies described the mean age of transit workers between 43 and 45 years old, with a large proportion (43%–47%) having been over 50 years old 20,24,32,33 . Two transit worker studies reported their study population comprising mostly male (range 71%–85%) 20,32 .…”

Section: Resultsmentioning

confidence: 99%

“…Although we were able to obtain demographic data for NYC metro area transit workers who died from COVID‐19, we were unable to obtain such data for workers who did not die from COVID‐19. Therefore, for comparison, we used published demographic data for all NYC metro area workers 20,30,32,33 . To find such published data, we performed a comprehensive search of the scientific literature to identify peer‐reviewed publications describing demographic statistics of NYC metro area transit workers.…”

Section: Methodsmentioning

confidence: 99%

COVID‐19 mortality among Amalgamated Transit Union (ATU) and Transport Workers Union (TWU) workers—March–July 2020, New York City metro area

Tomasi

Ramirez-Cardenas

Thiese

et al. 2021

American J Industrial Med

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Background Transit workers have jobs requiring close public contact for extended periods of time, placing them at increased risk for severe acute respiratory syndrome coronavirus 2 infection and more likely to have risk factors for coronavirus disease 2019 (COVID‐19)‐related complications. Collecting timely occupational data can help inform public health guidance for transit workers; however, it is difficult to collect during a public health emergency. We used nontraditional epidemiological surveillance methods to report demographics and job characteristics of transit workers reported to have died from COVID‐19. Methods We abstracted demographic and job characteristics from media scans on COVID‐19 related deaths and reviewed COVID‐19 memorial pages for the Amalgamated Transit Union (ATU) and Transport Workers Union (TWU). ATU and TWU provided a list of union members who died from COVID‐19 between March 1–July 7, 2020 and a total count of NYC metro area union members. Peer‐reviewed publications identified through a scientific literature search were used to compile comparison demographic statistics of NYC metro area transit workers. We analyzed and reported characteristics of ATU and TWU NYC metro area decedents. Results We identified 118 ATU and TWU NYC metro area transit worker COVID‐19 decedents with an incidence proportion of 0.3%. Most decedents were male (83%); median age was 58 years (range: 39–71). Median professional tenure was 20 years (range: 2–41 years). Operator (46%) was the most reported job classification. More than half of the decedents (57%) worked in positions associated with close public contact. Conclusion Data gathered through nontraditional epidemiological surveillance methods provided insight into risk factors among this workforce, demonstrating the need for mitigation plans for this workforce and informing transit worker COVID‐19 guidance as the pandemic progressed.

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Age-dependence of mortality from novel coronavirus disease (COVID-19) in highly exposed populations: New York transit workers and residents and Diamond Princess passengers

Abstract: Background. Populations heavily exposed to the novel coronavirus provide an opportunity to estimate the mortality from COVID-19 in different age groups.

Cited by 10 publications

References 1 publication

Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID‐19 patients: A meta‐regression and decision tree analysis

Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID‐19 patients: A meta‐regression and decision tree analysis

Association of Country-wide Coronavirus Mortality with Demographics, Testing, Lockdowns, and Public Wearing of Masks

COVID‐19 mortality among Amalgamated Transit Union (ATU) and Transport Workers Union (TWU) workers—March–July 2020, New York City metro area

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