Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: A Descriptive Analysis Study (Preprint) DOI Creative Commons
Rachel Martonik, Caitlin Oleson, Ellyn Marder

et al.

JMIR Public Health and Surveillance, Journal Year: 2024, Volume and Issue: 10, P. e49871 - e49871

Published: July 23, 2024

During the peak of winter 2020-2021 surge, number weekly reported COVID-19 outbreaks in Washington State was 231; majority occurred high-priority settings such as workplaces, community settings, and schools. The Department Health used automated address matching to identify clusters at health care facilities. No other systematic, statewide outbreak detection methods were place. This a gap given high volume cases, which delayed investigations decreased data completeness, potentially leading undetected outbreaks. We initiated cluster using SaTScan, implementing space-time permutation model for investigation.

Language: Английский

Evaluation of Cook County Department of Public Health's COVID-19 Worker Protection Program DOI
Tessa Bonney,

Gina Massuda Barnett,

Shah Zaman

et al.

NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

In response to the COVID-19 pandemic, Cook County Department of Public Health (CCDPH) developed Worker Protection Program (WPP) in partnership with Raise Floor Alliance Centers (RTF). We present a multi-method qualitative process evaluation program reports from participating worker centers over an 8-month period. Our findings showcase creation 1) identify and elevate workplace COVID-19-related complaints CCDPH, potential for long-term co-production enforcement health safety laws; 2) further prevention mitigation activities by providing trainings 4,700 + participants, conducting outreach 800 employers, distributing PPE at 2,500 worksites, individual referrals unemployment, food housing insecurity, legal, healthcare services. This highlights collaborative strategy WPP reach worksites workers highest risk COVID-19, while also identifying persistent barriers mitigation.

Language: Английский

Citations

0

Implementation of an Awareness Level Training to Prepare the Workforce for Future Infectious Disease Outbreaks DOI Creative Commons
Brandon Workman,

Florence Fulk,

Tania Carreón

et al.

Disaster Medicine and Public Health Preparedness, Journal Year: 2024, Volume and Issue: 18

Published: Jan. 1, 2024

Abstract Objective: The COVID-19 pandemic underscores the need for workforce awareness-level training infectious disease outbreaks. A program was created and evaluated to provide strategies emergency preparedness as well worker health safety during a outbreak. Methods: Participants ( N = 292) completed instructor-led synchronous online modules between January 2022 February 2023. Training covered 5 areas: vaccine awareness, transmission prevention, inapparent infections, workplace controls reduce or remove hazards. survey before after assess knowledge change in five areas. Chi-square analyses assessed how predictors were related change. Results: Overall, an increase observed pre- (80.9%) post-training (92.7%). from small businesses, with less work experience, non-health care roles under-informed. Knowledge of prevention improved professions workers experience. All participants gained identifying ranking safeguards protect injuries illness at job sites. Conclusions: employee about safe practices preparedness. Studies should continue evaluate effectiveness prepare outbreaks pandemics.

Language: Английский

Citations

0

Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: A Descriptive Analysis Study (Preprint) DOI Creative Commons
Rachel Martonik, Caitlin Oleson, Ellyn Marder

et al.

JMIR Public Health and Surveillance, Journal Year: 2024, Volume and Issue: 10, P. e49871 - e49871

Published: July 23, 2024

During the peak of winter 2020-2021 surge, number weekly reported COVID-19 outbreaks in Washington State was 231; majority occurred high-priority settings such as workplaces, community settings, and schools. The Department Health used automated address matching to identify clusters at health care facilities. No other systematic, statewide outbreak detection methods were place. This a gap given high volume cases, which delayed investigations decreased data completeness, potentially leading undetected outbreaks. We initiated cluster using SaTScan, implementing space-time permutation model for investigation.

Language: Английский

Citations

0