Biosafety Capacity Building During the COVID-19 Pandemic: Results, Insights, and Lessons Learned from an Online Approach in the Philippines

Autor: Rohani Cena-Navarro, Rodel Jonathan Vitor, Reynand Jay Canoy, Angelo dela Tonga, Gianne Eduard Ulanday, Mary Rose Claire Silva, Raul V. Destura
Rok vydání: 2022
Předmět:
Zdroj: Appl Biosaf
ISSN: 2470-1246
1535-6760
Popis: INTRODUCTION: COVID-19 diagnosis was one of the most pressing needs during the early stages of the pandemic. Its entire procedure has inherent biosafety risks that if not properly managed and mitigated can be life threatening. Cognizant of this vital aspect, the Department of Health (DOH) imposed a biosafety training requirement to all laboratories and institutions before they could perform COVID-19 diagnostic testing. But with the mandatory lockdown, conventional face-to-face training could not be conducted. To address this need, the Biosafety Education and Awareness Training COVID-19 Online Program was offered by the National Training Center for Biosafety and Biosecurity of the University of the Philippines Manila. METHODS AND MATERIALS: This online training program implemented a distance learning approach made available through the Canvas Learning Management System. It consisted of seven modules on biosafety that were sufficient enough to capacitate the participants with information for them to effectively implement a biorisk management system. The participants were evaluated based on quiz, examination, and case analysis. Certificates of completion were awarded to participants who passed all evaluation methods. RESULTS: A total of 3371 trainees from various medical professions passed and obtained the certificate. This resulted in >100 DOH-accredited COVID-19 testing laboratories by the end of 2020. DISCUSSION AND CONCLUSION: The online availability of this program proved to be an effective innovative solution to a unique problem. Therefore, this training program demonstrated that biosafety training can be effectively conducted online and in a distance learning approach.
Databáze: OpenAIRE
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