Determining the effectiveness of the health-EDRM framework and twitter data analysis as the near real-time source of information during the COVID-19 situation

Abstract

Coronavirus pandemic or COVID-19 pandemic is considered to be one of the most severe disasters that affect both lives and economics to all the countries around the world. Health Emergency and Disaster Risk Management Framework or HEALTH-EDRM framework is the disaster management framework established in late 2019. One objective of this framework is to reduce the impact of the disaster that affects the lives of the people. Risk communication which is considered as the main function of this framework is also the main key for reducing the amount of affecting people. In this research, the analysis of the effectiveness of the HEALTH-EDRM framework will be defined based on the amount of the COVID-19 affected, death, and the ratio of death and affected cases in Asia Oceania. The paired t-test analysis will be used to compare the effectiveness for dealing with the COVID-19 situation in the aspect of the member of the framework and the economic situation. Furthermore, the Twitter microblogging platform will be defined as whether it can be used for risk communication function in terms of nearly real-time and reliable property. The analysis will be performed by comparing the content between the WHO’s situation report and the Twitter data from 21 January 2020 until 16 August 2020 based on daily, weekly, monthly, and quarterly based. The Latent Dirichlet Allocation (LDA) and Cosine Similarity will be used as the tools for generating topics and comparing the similarity. The results of both analyses show that even though the HEALTH-EDRM framework did not perform well to help their members for dealing with the COVID-19 situation, this framework can perform well for helping the least developed countries. In addition, Twitter is proved to be useful as a near real-time and reliable source of information.