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Acerca de la aplicación

COVRA es una aplicación que ha sido desarrollada para evaluar el riesgo de infección por transmisión aérea de la Covid 19 como también rever el riesgo asumiendo medidas correctivas. La estimación del riesgo de infección se basa en el modelo de Wells-Riley utilizado para el estudio epidemiológico de Sarampión en 1978 [29], y posteriormente Gammaitoni y Nucci  para Tuberculosis [12], en Centros Hospitalarios [25], y Giorgio Buonnano en Italia para evaluar el impacto de las medidas de control para frenar la Covid 19. [2]
 

El andamiaje para calcular o estimar concentraciones de cuantos infecciosos corresponde al conocido modelo de un compartimento bien mezclado (Well Mixed Room) utilizado frecuentemente en evaluación de ventilación y calidad de aire interior por Higienistas Industriales y otros especialistas. [13, 15].

Se debe considerar que esta aplicación por el momento no permite estimar concentraciones de cuantos infecciosos de Covid 19 para más de una situación, es decir, la dosis acumulada en varios compartimentos interiores. Tampoco es aplicable en exposiciones donde la cercanía sea menor a 1 metro de distancia. 

El objetivo de esta aplicación es ayudar al personal médico, prevencionistas de riesgos, ingenieros y toda persona que requiera evaluar el riesgo de infección por Sars-CoV-2 y mejorar los controles, principalmente de ventilación para tomar decisiones en nuevos brotes.

Acerca de CO.V.R.A: Quiénes somos

Autor

Lic. en Higiene y Seguridad en el Trabajo (UM 2012)
Especialista en Protección Ambiental (I.A.S 2013)
Magíster en Toxicología (Colegio de Químicos de Sevilla 2015)
Diplomado en Gestión de Riesgos del Trabajo (UM 2014)
Presidente y Fundador de Safework Consulting Group S.A / e-IH

Consultor en Higiene y Ergonomía Laboral
Profesor en Nivel Terciario y Universitario

Docente en Diplomatura en Higiene Ocupacional (COPIME)

Más de 5 años capacitando profesionales en Higiene Ocupacional

en organizaciones y empresas públicas y privadas.
Miembro de Comisión Directiva de la Asociación de Higienistas
Ocupacionales y Ambientales de la República Argentina. (AHRA)

Miembro de American Industrial Hygiene Asociation (AIHA)
Miembro de la Society of Environmental Toxicology and Chemistry (SETAC)

Mgter. Maximiliano Simaz

Maximiliano Simaz - COVRA Covid 19 venti
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Autor Maximiliano Simaz

Referencias Bibliográficas 

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  2. Buonanno, G., Morawska, L., & Stabile, L. (2020). Quantitative assessment of the risk of airborne transmission of SARS-CoV-2 infection: Prospective and retrospective applications. Environment International, 145, 106112. https://doi.org/10.1016/j.envint.2020.106112
     

  3. Buonanno, G., Stabile, L., & Morawska, L. (2020). Estimation of airborne viral emission: Quanta emission rate of SARS-CoV-2 for infection risk assessment. Environment International, 141, 105794. https://doi.org/10.1016/j.envint.2020.105794
     

  4. Dabisch, P. (2020). The influence of temperature, humidity, and simulated sunlight on the infectivity of SARS-CoV-2 in aerosols. Aerosol Science And Technology, 55(2), 142-153.
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  5. Davies, A. (2013). Testing the Efficacy of Homemade Masks: Would They Protect in an Influenza Pandemic?. Disaster Medicine And Public Health Preparedness, 7(4), 413-418.
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  6. Duguid, J. (1946). The size and the duration of air-carriage of respiratory droplets and droplet-nuclei. Epidemiology and Infection, 44(6), 471-479.
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  7. Environmental Protection Agency (EPA). (2019). Exposure factors handbook - Chapter 19 : Building Characteristics. Office of Research and Development, National Center for Environmental Assessment, U.S. Environmental Protection Agency.
     

  8. Evans, M. (2020). Avoiding COVID-19: Aerosol Guidelines.
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  9. Fears, A. (2020). Comparative dynamic aerosol efficiencies of three emergent coronaviruses and the unusual persistence of SARS-CoV-2 in aerosol suspensions.
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  10. Fears, A. (2020). Persistence of Severe Acute Respiratory Syndrome Coronavirus 2 in Aerosol Suspensions. Emerging Infectious Diseases, 26(9), 2168-2171.
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  11. Fonville, J., Marshall, N., Tao, H., Steel, J., & Lowen, A. (2015). Influenza Virus Reassortment Is Enhanced by Semi-infectious Particles but Can Be Suppressed by Defective Interfering Particles. PLOS Pathogens, 11(10), e1005204. https://doi.org/10.1371/journal.ppat.1005204
     

  12. Gammaitoni, L. (1997). Using a Mathematical Model to Evaluate the Efficacy of TB Control Measures. Emerging Infectious Diseases, 3(3), 335-342.
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  13. Hewett, P., & Ganser, G. (2016). Models for nearly every occasion: Part I - One box models. Journal Of Occupational And Environmental Hygiene, 14(1), 49-57.
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  17. Lelieveld, J., Helleis, F., Borrmann, S., Cheng, Y., Drewnick, F., & Haug, G. et al. (2020). Model Calculations of Aerosol Transmission and Infection Risk of COVID-19 in Indoor Environments. International Journal Of Environmental Research And Public Health, 17(21), 8114.
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  18. Li, Y., Duan, S., Yu, I., & Wong, T. (2005). Multi-zone modeling of probable SARS virus transmission by airflow between flats in Block E, Amoy Gardens. Indoor Air, 15(2), 96-111.
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  19. Li, Y., Qian, H., Hang, J., Chen, X., Cheng, P., & Ling, H. et al. (2021). Probable airborne transmission of SARS-CoV-2 in a poorly ventilated restaurant. Building And Environment, 196, 107788.
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  20. Lindsley, W. (2014). Efficacy of Face Shields Against Cough Aerosol Droplets from a Cough Simulator. Journal Of Occupational And Environmental Hygiene, 11(8), 509-518.
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  21. Milton, D. (2013). Influenza Virus Aerosols in Human Exhaled Breath: Particle Size, Culturability, and Effect of Surgical Masks. Plos Pathogens, 9(3), e1003205.
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  22. Morawska, L. (2009). Size distribution and sites of origin of droplets expelled from the human respiratory tract during expiratory activities. Journal Of Aerosol Science, 40(3), 256-269.
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  23. Morawska, L., & Cao, J. (2020). Airborne transmission of SARS-CoV-2: The world should face the reality. Environment International, 139, 105730.
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  24. Morawska, L., & Milton, D. (2020). It Is Time to Address Airborne Transmission of Coronavirus Disease 2019 (COVID-19). Clinical Infectious Diseases.
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  25. Noakes, C.J. and Sleigh, P.A. (2008) Applying the Wells–Riley equation to the risk of airborne infection in hospital environments: the importance of stochastic and proximity effects. In: Proceedings of Indoor Air 2008, International Conference on Indoor Air Quality and Climate, Paper ID: 42,Copenhagen, 17–22 August 2008.
     

  26. Pan, J., Harb, C., Leng, W., & Marr, L. (2021). Inward and outward effectiveness of cloth masks, a surgical mask, and a face shield. Aerosol Science And Technology, 1-16.
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  27. Pan, Y., Zhang, D., Yang, P., Poon, L., & Wang, Q. (2020). Viral load of SARS-CoV-2 in clinical samples. The Lancet Infectious Diseases, 20(4), 411-412.
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  28. Persily, A., & de Jonge, L. (2017). Carbon dioxide generation rates for building occupants. Indoor Air, 27(5), 868-879. https://doi.org/10.1111/ina.12383
     

  29. RILEY, E., MURPHY, G., & RILEY, R. (1978). AIRBORNE SPREAD OF MEASLES IN A SUBURBAN ELEMENTARY SCHOOL. American Journal Of Epidemiology, 107(5), 421-432.
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  30. Rudnick, S., & Milton, D. (2003). Risk of indoor airborne infection transmission estimated from carbon dioxide concentration. Indoor Air, 13(3), 237-245.
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  31. Shimer, D., Jenkins, P., Hui, S., & Adams, W. (1995). 132 MEASUREMENT OF BREATHING RATE AND VOLUME IN ROUTINELY PERFORMED DAILY ACTIVITIES. Epidemiology, 6(2), S30.
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  32. Stadnytskyi, V. (2020). The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission. Proceedings Of The National Academy Of Sciences, 117(22), 11875-11877. https://doi.org/10.1073/pnas.2006874117
     

  33. Tang, J. (2011). Observing and quantifying airflows in the infection control of aerosol- and airborne-transmitted diseases: an overview of approaches. Journal Of Hospital Infection, 77(3), 213-222. https://doi.org/10.1016/j.jhin.2010.09.037
     

  34. To, K. (2020). Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study. The Lancet Infectious Diseases, 20(5), 565-574. https://doi.org/10.1016/s1473-3099(20)30196-1
     

  35. van Doremalen, N. (2020). Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1. New England Journal Of Medicine, 382(16), 1564-1567.
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  36. Watanabe, T. (2010). Development of a Dose-Response Model for SARS Coronavirus. Risk Analysis, 30(7), 1129-1138.
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  37. Wells, W.F. (1955) Airborne Contagion and Air Hygiene, Cambridge MA, Cambridge University Press. 117–122.

     

  38. Wölfel, R. (2020). Virological assessment of hospitalized patients with COVID-2019. Nature, 581(7809), 465-469.
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  39. Yang, W., & Marr, L. (2011). Dynamics of Airborne Influenza A Viruses Indoors and Dependence on Humidity. Plos ONE, 6(6), e21481.
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Referencias Bibliográficas
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© 2021. Covid-19 Ventilation Risk Assessment (CO.V.R.A).

Autor: Maximiliano E. Simaz. Todos los derechos reservados.

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