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A COVID-19 infection risk model for frontline health care workers

The number of confirmed COVID-19 cases admitted in hospitals is continuously increasing in the Philippines. Frontline health care workers are faced with imminent risks of getting infected. In this study, we formulate a theoretical model to calculate the risk of being infected in health care faciliti...

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Autores principales: Dy, Louie Florendo, Rabajante, Jomar Fajardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413837/
https://www.ncbi.nlm.nih.gov/pubmed/32834923
http://dx.doi.org/10.1007/s13721-020-00258-3
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author Dy, Louie Florendo
Rabajante, Jomar Fajardo
author_facet Dy, Louie Florendo
Rabajante, Jomar Fajardo
author_sort Dy, Louie Florendo
collection PubMed
description The number of confirmed COVID-19 cases admitted in hospitals is continuously increasing in the Philippines. Frontline health care workers are faced with imminent risks of getting infected. In this study, we formulate a theoretical model to calculate the risk of being infected in health care facilities considering the following factors: the average number of encounters with a suspected COVID-19 patient per hour; interaction time for each encounter; work shift duration or exposure time; crowd density, which may depend on the amount of space available in a given location; and availability and effectiveness of protective gears and facilities provided for the frontline health care workers. Based on the simulation results, a set of risk assessment criteria is proposed to classify risks as ‘low’, ‘moderate’, or ‘high’. We recommend the following: (1) decrease the rate of patient encounter per frontline health care worker, e.g., maximum of three encounters per hour in a 12-h work shift duration; (2) decrease the interaction time between the frontline health care worker and the patients, e.g., less than 40 min for the whole day; (3) increase the clean and safe space for social distancing, e.g., maximum of 10% crowd density, and if possible, implement compartmentalization of patients; and/or (4) provide effective protective gears and facilities, e.g., 95% effective, that the frontline health care workers can use during their shift. Moreover, the formulated model can be used for other similar scenarios, such as identifying infection risk in public transportation, school classroom settings, offices, and mass gatherings.
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spelling pubmed-74138372020-08-10 A COVID-19 infection risk model for frontline health care workers Dy, Louie Florendo Rabajante, Jomar Fajardo Netw Model Anal Health Inform Bioinform Short Communication The number of confirmed COVID-19 cases admitted in hospitals is continuously increasing in the Philippines. Frontline health care workers are faced with imminent risks of getting infected. In this study, we formulate a theoretical model to calculate the risk of being infected in health care facilities considering the following factors: the average number of encounters with a suspected COVID-19 patient per hour; interaction time for each encounter; work shift duration or exposure time; crowd density, which may depend on the amount of space available in a given location; and availability and effectiveness of protective gears and facilities provided for the frontline health care workers. Based on the simulation results, a set of risk assessment criteria is proposed to classify risks as ‘low’, ‘moderate’, or ‘high’. We recommend the following: (1) decrease the rate of patient encounter per frontline health care worker, e.g., maximum of three encounters per hour in a 12-h work shift duration; (2) decrease the interaction time between the frontline health care worker and the patients, e.g., less than 40 min for the whole day; (3) increase the clean and safe space for social distancing, e.g., maximum of 10% crowd density, and if possible, implement compartmentalization of patients; and/or (4) provide effective protective gears and facilities, e.g., 95% effective, that the frontline health care workers can use during their shift. Moreover, the formulated model can be used for other similar scenarios, such as identifying infection risk in public transportation, school classroom settings, offices, and mass gatherings. Springer Vienna 2020-08-08 2020 /pmc/articles/PMC7413837/ /pubmed/32834923 http://dx.doi.org/10.1007/s13721-020-00258-3 Text en © Springer-Verlag GmbH Austria, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Short Communication
Dy, Louie Florendo
Rabajante, Jomar Fajardo
A COVID-19 infection risk model for frontline health care workers
title A COVID-19 infection risk model for frontline health care workers
title_full A COVID-19 infection risk model for frontline health care workers
title_fullStr A COVID-19 infection risk model for frontline health care workers
title_full_unstemmed A COVID-19 infection risk model for frontline health care workers
title_short A COVID-19 infection risk model for frontline health care workers
title_sort covid-19 infection risk model for frontline health care workers
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413837/
https://www.ncbi.nlm.nih.gov/pubmed/32834923
http://dx.doi.org/10.1007/s13721-020-00258-3
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