|
Thailand COVID-19 pandemic data analysis using big data technology |
|---|---|
| รหัสดีโอไอ | |
| Creator | 1. Karma Wangchuk 2. Jirarat Ieamsaard |
| Title | Thailand COVID-19 pandemic data analysis using big data technology |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2565 |
| Journal Title | Songklanakarin Journal of Science an Technology (SJST) |
| Journal Vol. | 44 |
| Journal No. | 4 |
| Page no. | 1119-1124 |
| Keyword | coronavirus, Covid-19, big data technologies, hadoop, spark |
| URL Website | https://rdo.psu.ac.th/sjst/index.php |
| ISSN | 0125-3395 |
| Abstract | The world has been observing unprecedented circumstances with the outbreak of the COVID-19 pandemic. Theupsurge of infection cases has left hospitals overwhelmed, education quality compromised, caused unemployment issues, andaffected the international economy, tourism sector, and financial markets. The number of confirmed cases and deaths has beenincreasing on daily basis. However, a vaccination drive has been conducted globally to reduce the transmission. The purpose ofthis study was to present the basic system configuration of the Big Data technology called Spark and to performe an analysis ofThailandโs COVID-19 pandemic data. Data were collected from an open Thai government data center between January 2020 and28. May 2021. Bangkok province has the most COVID-19 cases followed by Samut Sakhon province. It has been observed thatthe ages between 20 and 40 were the most infected by COVID-19 in Thailand. |
