Gender/Sex Disparities in the COVID-19 Cascade from Testing to Mortality: An Intersectional Analysis of Swiss Surveillance Data DOI Creative Commons
Diane Auderset, Michaël Amiguet, Carole Clair

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 17, 2024

ABSTRACT Objectives This study investigates gender and sex disparities in COVID-19 epidemiology the Canton of Vaud, Switzerland, focusing on interplay with socioeconomic position (SEP) age. Methods We analyzed surveillance data from March 2020 to June 2021, using an intersectional approach. Negative binomial regression models assessed between women men, across SEP quintiles age groups, testing, positivity, hospitalizations, ICU admissions, mortality (Incidence Rate Ratios [IRR], 95% Confidence Intervals [CI]). Results Women had higher testing positivity rates than while men experienced more deaths. The under 50 was mitigated when accounting for their rates. Within quintiles, gender/sex differences were not significant. In lowest quintile, women’s risk 68% lower (Q1: IRR 0.32, CI 0.20-0.52), decreasing increasing (Q5: 0.66, 0.41-1.06). Conclusion Our findings underscore complex epidemiological patterns COVID-19, shaped by interactions gender/sex, SEP, age, highlighting need perspectives both research public health strategy development.

Language: Английский

Quantifying the magnitude of the general contextual effect in a multilevel study of SARS-CoV-2 infection in Ontario, Canada: application of the median rate ratio in population health research DOI Creative Commons
Tristan Watson, Jeffrey C. Kwong,

Kathy Kornas

et al.

Population Health Metrics, Journal Year: 2024, Volume and Issue: 22(1)

Published: Oct. 7, 2024

Regional variations in SARS-CoV-2 infection were observed Canada and other countries. Studies have used multilevel analyses to examine how a context, such as neighbourhood, can affect the rates of people within it. However, few studies quantified magnitude general contextual effect (GCE) assessed it may be associated with individual- area-level characteristics. To address this gap, we will illustrate application median rate ratio (MRR) Poisson analysis for quantifying GCE Ontario, Canada.

Language: Английский

Citations

0

COVID-19 vaccination at a hospital in Paris: spatial analyses and inverse equity hypothesis DOI Creative Commons
Valéry Ridde,

André Gaëlle,

Bouchaud Olivier

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: May 5, 2023

Abstract Background Vaccination against SARS-CoV-2 has been deployed in France since January 2021. Evidence was beginning to show that the most vulnerable populations were affected by COVID-19. Without specific action for different population subgroups, inverse equity hypothesis postulates people least deprived neighbourhoods will be first benefit. Methods We performed a spatial analysis using primary data from vaccination centre of Avicenne Hospital Bobigny (Seine-Saint-Denis, France) 8th September 30th, used secondary calculate social deprivation index. flow analysis, k-means aggregation, and mapping. Results During period, 32,712 vaccinated at study centre. hospital shows living disadvantaged areas vaccinated. The number immunized according level then scales out with slightly more access advantaged. furthest have travelled than 100 kilometres, 1h45 transport time get this Access times are, on average, 50 minutes February 30 May Conclusion confirms preparedness strategies must take issues into account. Public health interventions should implemented proportionate universalism use community health, mediation, outreach activities equity.

Language: Английский

Citations

1

Economic resilience during COVID-19: the case of food retail businesses in Seattle, Washington DOI Creative Commons

Feiyang Sun,

Jan Whittington,

Siman Ning

et al.

Frontiers in Built Environment, Journal Year: 2023, Volume and Issue: 9

Published: Sept. 28, 2023

The first year of COVID-19 tested the economic resilience cities, calling into question viability density and essential nature certain types services. This study examines built environment socio-economic factors associated with closure customer-facing food businesses across urban areas Seattle, Washington. covers 16 neighborhoods (44 census block groups), two field audits included in cross-sectional studies conducted during peak periods pandemic 2020. Variables describing their environments were selected classified using regression tree methods, relationships to business continuity estimated a binomial model, type neighborhood socio-demographic characteristics as controlled covariates. Results show that impact was not evenly distributed environment. Compared grocery stores, odds restaurant staying open May June 24%, only improving 10% by end Density played role closure, though this differed over time. In June, retail 82% less likely remain if located within quarter-mile radius office-rich city, where pre-pandemic job greater than 95 per acre. November December, 66% residential 23.6 persons contrast, median household income percentage non-Asian color positively significantly continuity. Altogether, these findings provide more detailed accurate profiles complete impression spatial heterogeneity pandemic, implications for future planning real estate development post-pandemic era.

Language: Английский

Citations

1

A Biosocial Perspective on (COVID-19) Pandemic Outbreaks: Interfaces of Biology and Social Determinants DOI
Nico Dragano

Integrated science, Journal Year: 2023, Volume and Issue: unknown, P. 59 - 76

Published: Jan. 1, 2023

Language: Английский

Citations

1

Gender/Sex Disparities in the COVID-19 Cascade from Testing to Mortality: An Intersectional Analysis of Swiss Surveillance Data DOI Creative Commons
Diane Auderset, Michaël Amiguet, Carole Clair

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 17, 2024

ABSTRACT Objectives This study investigates gender and sex disparities in COVID-19 epidemiology the Canton of Vaud, Switzerland, focusing on interplay with socioeconomic position (SEP) age. Methods We analyzed surveillance data from March 2020 to June 2021, using an intersectional approach. Negative binomial regression models assessed between women men, across SEP quintiles age groups, testing, positivity, hospitalizations, ICU admissions, mortality (Incidence Rate Ratios [IRR], 95% Confidence Intervals [CI]). Results Women had higher testing positivity rates than while men experienced more deaths. The under 50 was mitigated when accounting for their rates. Within quintiles, gender/sex differences were not significant. In lowest quintile, women’s risk 68% lower (Q1: IRR 0.32, CI 0.20-0.52), decreasing increasing (Q5: 0.66, 0.41-1.06). Conclusion Our findings underscore complex epidemiological patterns COVID-19, shaped by interactions gender/sex, SEP, age, highlighting need perspectives both research public health strategy development.

Language: Английский

Citations

0