A novel method to select time-varying multivariate time series models for the surveillance of infectious diseases-Reference-Cited by-同舟云学术

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A novel method to select time-varying multivariate time series models for the surveillance of infectious diseases

Published:2024-08-15 Issue:1 Volume:24 Page:
ISSN:1471-2334
Container-title:BMC Infectious Diseases
language:en
Short-container-title:BMC Infect Dis

Author:

Yu Jie,Wang Huimin,Chen Miaoshuang,Han Xinyue,Deng Qiao,Yang Chen,Zhu Wenhui,Ma Yue,Yin Fei,Weng Yang,Yang Changhong,Zhang Tao

Funder

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Chongqing Science and Technology Program

Sichuan Tianfu New Area Publice Health Center

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s12879-024-09718-x.pdf

Reference40 articles.

1. Yazidi R, Aissi W, Bouguerra H, Nouira M, Kharroubi G, Maazaoui L, Zorraga M, Abdeddaiem N, Chlif S, El Moussi A. Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015. BMC Public Health. 2019;19:1–9.

2. Mao K, Zhang K, Du W, Ali W, Feng X, Zhang H. The potential of wastewater-based epidemiology as surveillance and early warning of infectious disease outbreaks. Curr Opinion Environ Sci Health. 2020;17:1–7.

3. Donaldson AL, Hardstaff JL, Harris JP, Vivancos R, O’brien SJ. School-based surveillance of acute infectious disease in children: a systematic review. BMC Infect Dis. 2021;21:1–10.

4. Wang H, Qiu J, Li C, Wan H, Yang C, Zhang T. Applying the Spatial Transmission Network to the Forecast of Infectious Diseases Across Multiple Regions. Front Public Health. 2022;10:774984.

5. Li H, Ge M, Wang C. Spatio-temporal evolution patterns of influenza incidence and its nonlinear spatial correlation with environmental pollutants in China. BMC Public Health. 2023;23(1):1685.

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