We find ourselves in unprecedented times, where situations locally and globally are rapidly evolving on a daily basis related to the COVID-19 pandemic. Using a One Health lens to examine the SARS2-CoV outbreak’s evolution, we will discuss how high risk human-animal-environment interfaces create opportunities for pathogen spillover events, how globalization is facilitating the potential for pandemics, and how global engagement among universities and stakeholders around the world can rapidly push and pull information to help with early identification, mitigation and prevention future outbreaks. In fall 2019, the USAID One Health Workforce – Next Generation (OHW-NG) Project launched successfully with the South East Asia One Health University Network (SEAOHUN) and the Africa One Health University Network (AFROHUN, formerly OHCEA), working closely with global team partners from the University of California, Columbia University ICAP Program, University of New Mexico ECHO Institute, and Ata Health Strategies. Our multidisciplinary consortium had high hopes for all that could be accomplished in this new partnership. Little did we know that just a few months later, the world would change so dramatically in the face of the COVID-19 pandemic, and that the need for the One Health University Networks would be more important than ever as a source of knowledge sharing, innovation, and global collegiality.
This webinar is organized by APRU Global Health Program and USC Institute on Inequalities in Global Health
Revisit the website on YouTube
Date and Time
Friday, July 10, 2020
11 am (Sydney)/10 am (Tokyo/Seoul)/9 am (Hong Kong/Beijing)/8 am (Bangkok)
Thursday, July 9, 2020
6 pm Pacific Time (US & Canada)
This webinar is open to the public and will be recorded for those who cannot attend live.
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The views, information, or opinions expressed during webinars are solely those of the individuals involved and do not necessarily represent those of Association of Pacific Rim Universities (“APRU”) and its employees. APRU is not responsible for and does not verify for accuracy of any of the information contained in the series.