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The Severe Acute Respiratory Syndrome Coronavirus 2 is a virus causing the COVID-19 pandemic around the world. The World Health Organization (WHO) raised it to the highest level of global alert. The English, Chinese, and Japanese language Twitter data related to this disease during the first period after the WHO started releasing the situation reports were collected and compared with the tweet trends. This study also used quantitative text analysis to extract and analyze the co-occurrence network of English tweets. The findings show that trends and public concerns in social media are related to the breaking news and global trends such as the confirmed cases, the reported death tolls, the quarantined cruise news, the informer, etc.

During the early stages of the COVID-19 pandemic in 2020, state governments all over the world were forced to respond to the crisis, prioritizing not only inbound activities but also their citizens abroad. Our study focused on the reasons for the differences in the evacuation operations, procedures, and outcomes in each country. This study focused on Asian countries/territories that experienced the pandemic earlier than other regions, to compare their prompt evacuation processes between January and May, 2020. Data on the evacuation missions and COVID-19 situation in each studied country/territory were collected. The evacuation operations were reviewed and analyzed using the Business Process Model and Notation to identify the differences that made some of the operations more effective. The insight can contribute to future adaptation and development to implement more effective operations during the emergency response to a pandemic.

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