跳到主要內容區塊
Google  

 

 

:::

[2020/10/30] According to the RCEP-YM and Global Big Data Research, the Mortality Rate of COVID-19 Correlates with the Number of Tests and Government Performance

The newly established “Research Center for Epidemic Prevention of National Yang-Ming University” presented their big data research results on August 6th.

 

COVID-19 has caused more than 1.5 million infections all over the world and over 600,000 deaths. In the face of increasing infections and deaths, Taiwan remains under the risk of another outbreak. The “Research Center for Epidemic Prevention of National Yang-Ming University(RCEP-YM)” was founded by National Yang-Ming University, National Chiao Tung University and Taipei Veterans General Hospital with President Guo as the leader, Vice President Yang as the master planner and Dr. Lien as the vice executive. The center conducts research in six research areas. These are clinical pathology, drug development, testing and quarantine, public health and epidemiology, psychiatry and society, and international cooperation. The Center also provides advice that it hopes will help with making arrangements in Taiwan for any future COVID-19 outbreaks. The first research result involved determining the factors related to the mortality rate of COVID-19 using global big data.

 

The Head of the National Yang-Ming University Institute of Biomedical Informatics, Professor Wu, remarked that the research team analyzed 169 countries and 7.5 billion people across the world. They discovered that the mortality rate from COVID-19 is lower in places where there is better government performance, a younger population composition, and a greater number of hospital beds, as well as in countries with less convenient transportation systems. However, the efficacy of tests differs between each country due to their vastly different circumstances. The research team also found out that by increasing the number of tests of COVID-19 in countries with worse government performance, a younger population composition, and fewer hospital beds, the mortality rate could be lowered effectively. Otherwise, the mortality rate did not seem to decrease.

 

Professor Wu (left) explained that the research suggests that increasing number of tests for COVID-19 in countries with better government performance, an older population composition and a greater number of hospital beds may not necessarily the decrease that country's mortality rate.

 

Associated Professor Liang of the National San Yat-sen University Department of Business Management remarked that, in terms of the analysis of 169 countries around the world, the performance of the Taiwanese government was in the top 14%, the portion of population above 65 years old is in the top 23% and the number of hospital beds was in the top 16%. Therefore, Taiwan is a country with better government performance, an older population structure, and a greater number of hospital beds. In such circumstances, whether or not COVID-19 screening would be able to effectively decrease the country's mortality rate still requires further analysis.

 

Liang said that the average mortality rate of COVID-19 around the world is 3.7%. In higher-income countries, the mortality is as high as 4.9%. One important reason is the aging population structure of higher-income countries. However, the mortality of COVID-19 in Taiwan is only 1.5%. This shows that the mortality rate of COVID-19 in Taiwan is below average when these different groups are analyzed. The pandemic prevention measures taken by the Taiwanese government, the self-health management of the population and the excellent care provided by our medical system all seem to have contributed to a lower mortality rate.

 

     

  The research team, (left) National San Yat-sen University Department of Business Management Associated Professor Liang, Head of the National Yang-Ming University Institute of Biomedical Informatics, Professor Wu, second author of the publication Dr. Tseng and third author of the publication Dr. He, both from the Taipei Veterans General Hospital Department of Medical Research

Professor Wu, also a member of the Translation Research Department of TVGH, remarked that the research team established a correlation predication model that is able to successfully predicted 80% of the mortality rate of COVID-19 around the world. Recently, there has been much research on the morality rate of COVID-19, but this has focused in general at the patient level. This research has discovered that the elderly populations, and patients with comorbidities, such as diabetes and hypertension, have a higher mortality rate. However, this type of research is limited scope because there are relatively small numbers of patients involved and these individuals may not be representative enough of the general population. Therefore, the research team looked in a systematic manner for factors related to the mortality rate of COVID-19 using global big data.

 

The research results have been published in Scientific Reports, published by the well-known scientific journal Nature (London). The f9indings will become an important reference point for governments around the world when conducting screening in the face of the pandemic.

 

 

 

 

 

 

 

 

 

 

 


 

views