Spatiotemporal trends in self-reported mask-wearing behavior in the United States: Analysis of a large cross-sectional survey DOI Creative Commons
Juliana C Taube, Zachary Susswein, Shweta Bansal

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: July 22, 2022

Face mask-wearing has been identified as an effective strategy to prevent transmission of SARS-CoV-2, yet mask mandates were never imposed nationally in the United States. This decision resulted a patchwork local policies and varying compliance potentially generating heterogeneities trajectories COVID-19 U.S. While numerous studies have investigated patterns predictors masking behavior nationally, most suffer from survey biases none able characterize at fine spatial scales across through different phases pandemic.Urgently needed is debiased spatiotemporal characterization information critical further assess effectiveness masking, evaluate drivers time points during pandemic, guide future public health decisions through, for example, forecasting disease surges.We analyze over eight million behavioral responses States starting September 2020 May 2021. We adjust sample size representation using binomial regression models raking, respectively, produce county-level monthly estimates behavior. additionally debias self-reported bias measures derived by comparing vaccination data same official records county-level. Lastly, we whether individuals' perceptions their social environment can serve less biased form surveillance than data.We find that spatially heterogeneous along urban-rural gradient, with peaking winter 2021 declining sharply Our results identify regions where targeted efforts could suggest frequency may be influenced national guidance prevalence. validate our bias-correction approach community-reported estimates, after addressing issues small representation. Self-reported are especially prone desirability non-response findings demonstrate these reduced if individuals asked report on community rather self behaviors.Our work highlights importance characterizing behaviors capture drive outbreak trajectories. also emphasize need standardized incorporating big into response efforts. Even large surveys bias; thus, advocate sensing enable more accurate behaviors. Finally, invite research communities use publicly available consider how bias-corrected improve understanding protective crises impact dynamics.

Language: Английский

Predictors of nirmatrelvir–ritonavir receipt among COVID-19 patients in a large US health system DOI Creative Commons
Deborah E. Malden,

John M. McLaughlin,

Vennis Hong

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 29, 2024

Abstract A clear understanding of real-world uptake nirmatrelvir–ritonavir for treatment SARS-CoV-2 can inform allocation strategies and improve interpretation effectiveness studies. We used data from a large US healthcare system to describe dispenses among all positive patients aged ≥ 12 years meeting recommended National Institutes Health eligibility criteria the study period between 1 January 31 December, 2022. Overall, 10.9% (N = 34,791/319,900) eligible with infections received over period. Although increased time, by end 2022, less than quarter had nirmatrelvir–ritonavir. Across patient demographics, was generally consistent tiered guidelines, concentrated 65 (14,706/63,921; 23.0%), multiple comorbidities (10,989/54,431; 20.1%). However, neighborhoods lower socioeconomic status (upper third neighborhood deprivation index [NDI]) 12% (95% CI: 7–18%) 28% (25–32%) odds dispense time periods studied compared NDI distribution, even after accounting demographic clinical characteristics. limited chart review 40) confirmed that in some cases decision not treat appropriate aligned national guidelines use judgement on case-by-case basis. There is need enhance provider awareness availability benefits COVID-19 illness.

Language: Английский

Citations

3
Spatiotemporal Trends in Self-Reported Mask-Wearing Behavior in the United States: Analysis of a Large Cross-sectional Survey DOI Creative Commons
Juliana C Taube, Zachary Susswein, Shweta Bansal

et al.

JMIR Public Health and Surveillance, Journal Year: 2023, Volume and Issue: 9, P. e42128 - e42128

Published: March 6, 2023

Face mask wearing has been identified as an effective strategy to prevent the transmission of SARS-CoV-2, yet mandates were never imposed nationally in United States. This decision resulted a patchwork local policies and varying compliance, potentially generating heterogeneities trajectories COVID-19 Although numerous studies have investigated patterns predictors masking behavior nationally, most suffer from survey biases none able characterize at fine spatial scales across States through different phases pandemic.Urgently needed is debiased spatiotemporal characterization mask-wearing information critical further assess effectiveness masking, evaluate drivers time points during pandemic, guide future public health decisions through, for example, forecasting disease surges.We analyzed over 8 million behavioral responses States, starting September 2020 May 2021. We adjusted sample size representation using binomial regression models raking, respectively, produce county-level monthly estimates behavior. additionally self-reported bias measures derived by comparing vaccination data same official records county level. Lastly, we evaluated whether individuals' perceptions their social environment can serve less biased form surveillance than data.We found that was spatially heterogeneous along urban-rural gradient, with peaking winter 2021 declining sharply Our results regions where targeted efforts could suggest frequency may be influenced national guidance prevalence. validated our correction approach community-reported estimates, after addressing issues small representation. Self-reported especially prone desirability nonresponse biases, findings demonstrated these reduced if individuals are asked report on community rather self behaviors.Our work highlights importance characterizing behaviors capture drive outbreak trajectories. also emphasize need standardized incorporating big into response efforts. Even large surveys bias; thus, advocate sensing enable more accurate behaviors. Finally, invite research communities use publicly available consider how bias-corrected improve understanding protective crises impact dynamics.

Language: Английский

Citations

8
Resurgence of Kawasaki Disease Following Relaxation of Coronavirus Disease 2019 Pandemic Restrictions in Japan DOI

Fumio Nakata,

Kousaku Matsubara, Keigo Hamahata

et al.

The Journal of Pediatrics, Journal Year: 2024, Volume and Issue: 275, P. 114251 - 114251

Published: Aug. 23, 2024

Language: Английский

Citations

2
The effect of COVID-19 infection on patients with rheumatic diseases in China DOI
Peng Lai, Haifeng Chen, Yunxia Yan

et al.

Clinical Rheumatology, Journal Year: 2024, Volume and Issue: 43(3), P. 1199 - 1206

Published: Jan. 29, 2024

Language: Английский

Citations

1
Invited Commentary: To Make Long-Term Gains Against Infection Inequity, Infectious Disease Epidemiology Needs to Develop a More Sociological Imagination DOI
Jon Zelner, Ramya Naraharisetti,

Sarah Zelner

et al.

American Journal of Epidemiology, Journal Year: 2023, Volume and Issue: 192(7), P. 1047 - 1051

Published: Feb. 24, 2023

In a recent article in the Journal, Noppert et al. (Am J Epidemiol. 2023;192(3):475-482) articulated detail mechanisms connecting high-level "fundamental social causes" of health inequity to inequitable infectious disease outcomes, including infection, severe disease, and death. this commentary, we argue that while intensive focus on intervening is welcome necessary, it cannot occur isolation from examination way fundamental causes-including racism, socioeconomic inequity, stigma-sustain infection inequities even when are addressed. We build taxonomy laid out by create road map for strengthening connection between cause theory epidemiology discuss its implications future research intervention.

Language: Английский

Citations

3
Using an integrated social cognition model to identify the determinants of QR code check-in compliance behaviors in the COVID-19 pandemic DOI Creative Commons
Thi Nhung Mac, Daniel J. Phipps, Joy Parkinson

et al.

Journal of Health Psychology, Journal Year: 2023, Volume and Issue: 29(6), P. 495 - 509

Published: Nov. 8, 2023

In Australia, checking in while entering venues was a legal requirement during the COVID-19 pandemic to track potential infection sites. This two-wave correlational study used an integrated theory of planned behavior model including moral norms, anticipated regret, and habit predict check-in compliance sample 181 Victorians (Mean Age = 41.88, 56.4% female) 162 Queenslanders 43.26, 47.5% female). Habit intention predicted behavior, perceived behavioral control did not. Intention by baseline habit, attitude, subjective norm, norm Victorian sample, only Queensland sample. has implications for reviewing previous strategies future preparedness, both identifying drivers compliance, through discussion how differences effects between states may be linked each state’s experience (e.g. rates, lockdown length).

Language: Английский

Citations

2
Liminal Stigma and the Interference With the Positive Construction of Face Masks: The Case of Online Reactions to an Anti-Mask Rally DOI
Eric O. Silva

Humanity & Society, Journal Year: 2024, Volume and Issue: 48(2-4), P. 179 - 203

Published: July 19, 2024

Masks emerged as one of the few means responding to COVID-19 pandemic. A significant minority Americans, however, resisted emergent mask wearing norm. This study seeks examine ways that constructions use an appropriate alleviation threat posed by was disrupted in public discourse. It does so employing a qualitative content analysis comments made on Twitter, Reddit, and YouTube response burning rally held Boise, Idaho March 2021. Guided literature aligning activity, this identifies four processes which positive definition undermined. Through fragmentation, neutralization, dilution, displacement, official complicated competing definitions conduct also contested evaluations identities. These findings provide further understanding obstacles coordination during role activity plays obstacle social construction danger absence established norms.

Language: Английский

Citations

0
An assessment on the interplay of digital proximity app use and vaccine uptake for SARS-CoV-2 transmission mitigation in Switzerland DOI Creative Commons
Paola Daniore, André Moser, Marc Höglinger

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 19, 2023

Abstract Introduction Adherence to digital proximity tracing apps and preventive measures leading up following widespread SARS-CoV-2 vaccine rollout remains unclear. Our study aims evaluate the relative effect of app use, uptake adherence additional in a localized context pandemic. Methods We report findings from two population-based longitudinal cohorts Switzerland, Corona Immunitas Digital Follow-up eCohort (CI-DFU) COVID-19 Social Monitor (CSM) studies 2021. Failure time analyses were conducted for each cohort, stratified by age group. Cox proportional hazards regression models with time-varying covariates used estimate adjusted hazard ratios (aHR). The assessed SwissCovid uninstalling outcomes, outcomes interchanging as exposures separate substudies. Results observed dichotomy individuals who did not use during period get vaccinated, got vaccinated period. found an increased associated (aHR, 1.51; 95% CI: 1.40–1.62 [CI-DFU]; aHR, 1.79; 1.62–1.99 [CSM]) or 1.44; 1.28–1.62 1.82; 1.52–2.18 [CSM]). Decreased uninstallation risk was participants received their first dose throughout 0.55; 0.38–0.81 0.45; 0.27–0.78 Conclusion In evolving pandemic contexts, these can assist public health authorities designing evidence-based communication strategies enable adoption novel technologies across all population groups.

Language: Английский

Citations

1
Interplay of Digital Proximity App Use and SARS-CoV-2 Vaccine Uptake in Switzerland: Analysis of Two Population-Based Cohort Studies DOI Creative Commons
Paola Daniore, André Moser, Marc Höglinger

et al.

International Journal of Public Health, Journal Year: 2023, Volume and Issue: 68

Published: Sept. 20, 2023

Objectives: Our study aims to evaluate developments in vaccine uptake and digital proximity tracing app use a localized context of the SARS-CoV-2 pandemic. Methods: We report findings from two population-based longitudinal cohorts Switzerland January December 2021. Failure time analyses Cox proportional hazards regression models were conducted assess (SwissCovid) uninstalling outcomes. Results: observed dichotomy individuals who did not SwissCovid get vaccinated, used got vaccinated during period. Increased was with (aHR, 1.51; 95% CI: 1.40-1.62 [CI-DFU]; aHR, 1.79; 1.62-1.99 [CSM]) compared non-use. Decreased uninstallation risk for participants 0.55; 0.38-0.81 0.45; 0.27-0.78 vaccinated. Conclusion: In evolving epidemic contexts, these underscore need communication strategies as well flexible adjustments that accommodate different preventive measures their anticipated interactions.

Language: Английский

Citations

1
Spatiotemporal trends in self-reported mask-wearing behavior in the United States: Analysis of a large cross-sectional survey DOI Creative Commons
Juliana C Taube, Zachary Susswein, Shweta Bansal

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: July 22, 2022

Face mask-wearing has been identified as an effective strategy to prevent transmission of SARS-CoV-2, yet mask mandates were never imposed nationally in the United States. This decision resulted a patchwork local policies and varying compliance potentially generating heterogeneities trajectories COVID-19 U.S. While numerous studies have investigated patterns predictors masking behavior nationally, most suffer from survey biases none able characterize at fine spatial scales across through different phases pandemic.Urgently needed is debiased spatiotemporal characterization information critical further assess effectiveness masking, evaluate drivers time points during pandemic, guide future public health decisions through, for example, forecasting disease surges.We analyze over eight million behavioral responses States starting September 2020 May 2021. We adjust sample size representation using binomial regression models raking, respectively, produce county-level monthly estimates behavior. additionally debias self-reported bias measures derived by comparing vaccination data same official records county-level. Lastly, we whether individuals' perceptions their social environment can serve less biased form surveillance than data.We find that spatially heterogeneous along urban-rural gradient, with peaking winter 2021 declining sharply Our results identify regions where targeted efforts could suggest frequency may be influenced national guidance prevalence. validate our bias-correction approach community-reported estimates, after addressing issues small representation. Self-reported are especially prone desirability non-response findings demonstrate these reduced if individuals asked report on community rather self behaviors.Our work highlights importance characterizing behaviors capture drive outbreak trajectories. also emphasize need standardized incorporating big into response efforts. Even large surveys bias; thus, advocate sensing enable more accurate behaviors. Finally, invite research communities use publicly available consider how bias-corrected improve understanding protective crises impact dynamics.

Language: Английский

Citations

1