Forecasting New Tuberculosis Cases in Malaysia: A Time-Series Study Using the Autoregressive Integrated Moving Average (ARIMA) Model-Reference-Cited by-同舟云学术

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Forecasting New Tuberculosis Cases in Malaysia: A Time-Series Study Using the Autoregressive Integrated Moving Average (ARIMA) Model

Published:2023-09-04 Issue: Volume: Page:
ISSN:2168-8184
Container-title:Cureus
language:en
Short-container-title:

Author:

Ab Rashid Mohd Ariff,Ahmad Zaki Rafdzah,Wan Mahiyuddin Wan Rozita,Yahya Abqariyah

Publisher

Springer Science and Business Media LLC

Subject

Aerospace Engineering

Reference23 articles.

1. World Health Organization. Global tuberculosis report 2022. World Health Organization (ed): 2022. https://www.who.int/publications/i/item/9789240061729.

2. Predictors of death during tuberculosis treatment in TB/HIV co-infected patients in Malaysia;Ismail I;PLoS One,2013

3. Tuberculosis country profiles. Malaysia. (2021). Accessed: August 10, 2023: https://www.who.int/tb/country/data/profiles/en/.

4. Ministry of Health Malaysia. National strategic plan for tuberculosis control (2016-2020). Disease Control Division (TB/ Leprosy Sector) Ministry of Health Malaysia, Malaysia; 2016. https://www.moh.gov.my/index.php/dl/554756755a584a6961585268626939515a5778686269425464484a686447566e615773674c7a49774....

5. Forecasting the 2013-2014 influenza season using Wikipedia;Hickmann KS;PLoS Comput Biol,2015

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