Use of Private Sector Workforce Respiratory Disease Short-Term Disability Claims to Assess SARS-CoV-2, Mexico, 2020

Hernández-Ávila, Mauricio; Tamayo‐Ortiz, Marcela; Vieyra-Romero, Waldo; Gutierrez-Diaz, Hector; Zepeda-Tello, Rodrigo; Barros-Sierra, David; Velasco-Reyna, Rebeca; Ramirez-Polanco, Emmanuell; Ortega-Álvarez, Manuel

doi:10.3201/eid2801.211357

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…We documented a 7.1% AR of RD-STDCs among 20.1 million workers insured by IMSS during the 9 weeks duration of the Omicron surge; representing a substantial burden of unplanned absences and lost productivity (10.7 million lost work days) a higher economic impact than previously reported in Mexico during 2020 and 2021. 15 In contrast, hospitalization rates during the Omicron wave were well below those reported during previous waves (3.8 vs. 28.4 per 1 000 SARS-CoV-2-positive workers). 16 Our results agree with observations suggesting that Omicron breakthrough infections were frequent among vaccinated populations but generally associated with less severe disease.…”

Section: Discussionmentioning

confidence: 72%

“…To identify evaluation participants (figure 1), using workers' Individual Population Registry Identifiers (Clave Única de Registro de Población, CURP, in Spanish), we first selected all respiratory-disease STDCs (RD-STDCs) authorized from January 2 to March 5, 2022 (n= 1 410 675) from the IMSS STDC database under specific ICD-10: Covid-19 [U070, U071, U072, U07E, U07S, B342, B972], acute respiratory diseases [J01, J04-J06, J20, J21], influenza [J10, J11], pneumonia [J12-J18], and other [J029, J00X, J02X, J039, J22X]. 15,16 We then linked the CURP to the IMSS Epidemiological Surveillance Online Notification System (Sistema de Notificación en Línea para la Vigilancia Epidemiológica, Sinolave, in Spanish) database to identify workers with a SARS-CoV-2 test and their information (i.e., sex, age, salary group, state of residency), date of RD-STDC authorization, previous RD-STDCs during 2020-2021, and ICD10 diagnosis (n= 928 590). Thirty-one percent of workers with a RD-STDC were tested for SARS-CoV-2 (1.7% RT-PCR and 98.3% antigen tests) at IMSS facilities; 92.3% tested positive for SARS-CoV-2.…”

Section: Population Identificationmentioning

confidence: 99%

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The Omicron wave in Mexico: vaccine protection against progression to severe Covid-19 in SARS-CoV-2-infected workers

Hernández-Ávila,

Vieyra-Romero,

Gutiérrez-Díaz

et al. 2023

Salud Publica Mex

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Objective. To assess the effectiveness of seven Covid-19 vaccines in preventing disease progression (DP) using data from national private sector workers during the Omicron wave in Mexico from January 2 to March 5, 2022. Materials and methods. This study employed an administrative retrospective cohort design, analyzing DP (hospitalization or death due to respiratory disease) among workers who filed a respiratory short-term disability claim and tested positive for SARS-CoV-2. Risk ratios (RRadj) were estimated using Poisson regression models adjusted for various factors. Results. Vaccinated individuals had a lower risk of hospitalization and death compared with unvaccinated individuals. The overall RRadj for hospitalization and death were 0.36 (95%CI 0.32, 0.41) and 0.24 (0.17, 0.33), respectively. When evaluating vaccines individually, the RRadj for hospitalization were as follows Pfizer BioNTech 0.27 (95%CI 0.22, 0.33), Moderna 0.29 (95%CI 0.15, 0.57), Sinovac 0.32 (95%CI 0.25, 0.41), AstraZeneca 0.39 (95%CI 0.34, 0.46), Sputnik 0.39 (95%CI 0.28, 0.53), CanSino 0.41 (95%CI 0.24, 0.7), and Janssen 0.53 (95%CI 0.39, 0.72). The RRadj for death were as follows: Pfizer BioNTech 0.12 (95%CI 0.07, 0.19), Sputnik 0.15 (95%CI 0.06, 0.38), Sinovac 0.29 (95%CI 0.16, 0.53), AstraZeneca 0.30 (95%CI 0.20, 0.44), CanSino 0.38 (95%CI 0.1, 1.4), and Janssen 0.50 (95%CI 0.26, 0.97). Conclusion. Covid-19 vaccines significantly reduced the risk of severe disease during the Omicron wave in Mexico.

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Section: Discussionmentioning

confidence: 72%

Section: Population Identificationmentioning

confidence: 99%

The Omicron wave in Mexico: vaccine protection against progression to severe Covid-19 in SARS-CoV-2-infected workers

Hernández-Ávila,

Vieyra-Romero,

Gutiérrez-Díaz

et al. 2023

Salud Publica Mex

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Analytics and intelligence for public health surveillance

Dixon,

Barros Sierra Cordera,

Hernández Ávila

et al. 2024

Modernizing Global Health Security to Prevent, Detect, and Respond

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Measuring Work-related Risk of Coronavirus Disease 2019 (COVID-19): Comparison of COVID-19 Incidence by Occupation and Industry—Wisconsin, September 2020 to May 2021

Pray

Grajewski

Morris

et al. 2022

Clinical Infectious Diseases

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Background Work-related exposures play an important role in SARS-CoV-2 transmission, yet few studies have measured the risk of COVID-19 across occupations and industries. Methods During September 2020 – May 2021, the Wisconsin Department of Health Services collected occupation and industry data as part of routine COVID-19 case investigations. Adults aged 18-64 years with confirmed or probable COVID-19 in Wisconsin were assigned standardized occupation and industry codes. Cumulative incidence rates were weighted for non-response and calculated using full-time equivalent (FTE) workforce denominators from the 2020 American Community Survey. Results An estimated 11.6% of workers (347,013 of 2.98 million) in Wisconsin, ages 18-64 years, had COVID-19 from September 2020 to May 2021. The highest incidence by occupation (per 100 full-time equivalents) occurred among personal care and services workers (22.4), healthcare practitioners and support staff (20.7), and protective services workers (20.7). High risk sub-groups included nursing assistants and personal care aides (28.8), childcare workers (25.8), food and beverage service workers (25.3), personal appearance workers (24.4), and law enforcement workers (24.1). By industry, incidence was highest in healthcare (18.6); the highest risk sub-sectors were nursing care facilities (30.5) and warehousing (28.5). Conclusions This analysis represents one of the most complete examinations to date of COVID-19 incidence by occupation and industry. Our approach demonstrates the value of standardized occupational data collection by public health, and may be a model for improved occupational surveillance elsewhere. Workers at higher risk of SARS-CoV-2 exposure may benefit from targeted workplace COVID-19 vaccination and mitigation efforts.

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Use of Private Sector Workforce Respiratory Disease Short-Term Disability Claims to Assess SARS-CoV-2, Mexico, 2020

Cited by 4 publications

References 2 publications

The Omicron wave in Mexico: vaccine protection against progression to severe Covid-19 in SARS-CoV-2-infected workers

The Omicron wave in Mexico: vaccine protection against progression to severe Covid-19 in SARS-CoV-2-infected workers

Analytics and intelligence for public health surveillance

Measuring Work-related Risk of Coronavirus Disease 2019 (COVID-19): Comparison of COVID-19 Incidence by Occupation and Industry—Wisconsin, September 2020 to May 2021

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