Predicting pulmonary tuberculosis incidence in China using Baidu search index: an ARIMAX model approach-Reference-Cited by-同舟云学术

Predicting pulmonary tuberculosis incidence in China using Baidu search index: an ARIMAX model approach

Published:2023 Issue:0 Volume:28 Page:68-68
ISSN:1342-078X
Container-title:Environmental Health and Preventive Medicine
language:en
Short-container-title:Environ. Health Prev. Med.

Author:

Yang Jing¹,Zhou Jie²,Luo Tingyan¹,Xie Yulan¹,Wei Yiru¹,Mai Huanzhuo¹,Yang Yuecong¹,Cui Ping³,Ye Li¹,Liang Hao³,Huang Jiegang⁴

Affiliation:

1. Guangxi Key Laboratory of AIDS Prevention and Treatment

2. School of Public Health, Guangxi Medical University

3. Life Science Institute, Guangxi Medical University

4. Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University

Publisher

Japanese Society for Hygiene

Subject

Public Health, Environmental and Occupational Health,General Medicine

Link

https://www.jstage.jst.go.jp/article/ehpm/28/0/28_23-00141/_pdf

Reference34 articles.

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3. 3. Xue M, Zhong J, Gao M, et al. Analysis of spatial-temporal dynamic distribution and related factors of tuberculosis in China from 2008 to 2018. Sci Rep. 2023;13(1):4974.

4. 4. Chen ZY, Deng XY, Zou Y, et al. A Spatio-temporal Bayesian model to estimate risk and influencing factors related to tuberculosis in Chongqing, China, 2014–2020. Arch Public Health. 2023;81(1):42.

5. 5. Wang XJ, Li YH, Yi FL, Fu Q. [Description of epidemic features and control status on tuberculosis in China, 1990–2017]. Zhonghua Liu Xing Bing Xue Za Zhi. 2020;41(6):856–60.