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This paper discusses the challenges of disseminating COVID-19 information to migrant populations by sharing our trial-and-error approach. In 2018, the Migrants' Neighbor Network & Action (MINNA), a consortium of individuals and organizations that addressed the issues of accessing relevant information and services for migrants in Japan, was launched. Amidst the COVID-19 pandemic, the MINNA attempted to investigate and improve access to health information among Vietnamese, Nepali, and Burmese migrants in Japan. We had three assumptions in distribution of information to reach a large audience, such as building a multilingual website, requesting stakeholders to disseminate information, or posting on Facebook. None of our assumptions were sufficient to reach the target audience in the context of COVID-19, as total number of views that accessed our materials were less than 300 at most. We viewed these myths as the result of overlooking critical elements of effective communication strategies. Eventually, MINNA managed to establish communication with the manager of a Facebook page with the largest number of followers from the Vietnamese community in Japan. Compared with our previous attempts, the messages were delivered to a large audience on the Facebook page, such as the article on COVID-19 vaccines that was viewed more than 300,000 times. In public health emergencies, interactive process of information dissemination is necessary. It is a key component for risk communication and should be prioritized. Breakthroughs in communicating with a larger audience could be possible through partnerships with online communities. [ABSTRACT FROM AUTHOR]

Natural disasters are events that humans cannot control, and Japan has suffered from many such disasters over its long history. Many of these have caused severe damage to human lives and property. These days, numerous Japanese people have gained considerable experience preparing for disasters and are now striving to predict the effects of disasters using social network services (SNSs) to exchange information in real time. Currently, Twitter is the most popular and powerful SNS tool used for disaster response in Japan because it allows users to exchange and disseminate information quickly. However, since almost all of the Japanese-related content is also written in the Japanese language, which restricts most of its benefits to Japanese people, we feel that it is necessary to create a disaster response system that would help people who do not understand Japanese. Accordingly, this paper presents the framework of a question-answering (QA) system that was developed using a Twitter dataset containing more than nine million tweets compiled during the Osaka North Earthquake that occurred on 18 June 2018. We also studied the structure of the questions posed and developed methods for classifying them into particular categories in order to find answers from the dataset using an ontology, word similarity, keyword frequency, and natural language processing. The experimental results presented herein confirm the accuracy of the answer results generated from our proposed system. [ABSTRACT FROM AUTHOR]