A Comparative Study of Time Series Analysis for Infectious Disease Trends in Thailand-Reference-Cited by-同舟云学术

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A Comparative Study of Time Series Analysis for Infectious Disease Trends in Thailand

Published:2024-02-18 Issue: Volume:20 Page:401-405
ISSN:
Container-title:2024 IEEE International Conference on Big Data and Smart Computing (BigComp)
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Author:

Mahikul Wiriya¹,Theptakob Nathanon¹,Promkaew Shinanang¹,Methiyothin Thanin²,Srichan Peeradone³,Wongsanupha Suphanat⁴,Onuean Kittisak⁵,Viriyavit Waranrach⁶

Affiliation:

1. College of Medicine, Chulabhorn Royal Academy,Princess Srisavangavadhana,Bangkok,Thailand

2. Korea Institute of Science and Technology Information,Daejeon,Thailand

3. School of Health Science, Mae Fah Luang University,Chiang Rai,Thailand

4. Ministry of Public Health,Department of Disease Control,Bangkok,Thailand

5. Burapha University,Faculty of Science and Social Sciences,Sakaeo,Thailand

6. Burapha University,Faculty of Informatics,Chonburi,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488103/10488104/10488245.pdf?arnumber=10488245

Reference29 articles.

1. Infectious disease in an era of global change;Baker,2022

2. Seasonality and the dynamics of infectious diseases;Altizer,2006

3. ARIMA modelling & forecasting of COVID-19 in top five affected countries;Sahai,2020

4. Applications and comparisons of four time series models in epidemiological surveillance data;Zhang;PloS one,2014

5. Thailand: Country Survey of Infectious Diseases

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