This paper is in the following e-collection/theme issue:

Influenza and Influenza-Like-Illness (ILI) Surveillance (83) Infectious Diseases (non-STD/STI) (1201)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42530, first published .
Influenza-Associated Excess Mortality by Age, Sex, and Subtype/Lineage: Population-Based Time-Series Study With a Distributed-Lag Nonlinear Model

Influenza-Associated Excess Mortality by Age, Sex, and Subtype/Lineage: Population-Based Time-Series Study With a Distributed-Lag Nonlinear Model

Influenza-Associated Excess Mortality by Age, Sex, and Subtype/Lineage: Population-Based Time-Series Study With a Distributed-Lag Nonlinear Model

Authors of this article:

Li Li 1 Author Orcid Image ;   Ze-Lin Yan 1 Author Orcid Image ;   Lei Luo 2 Author Orcid Image ;   Wenhui Liu 2 Author Orcid Image ;   Zhou Yang 1 Author Orcid Image ;   Chen Shi 1 Author Orcid Image ;   Bo-Wen Ming 1 Author Orcid Image ;   Jun Yang 3 Author Orcid Image ;   Peihua Cao 1, 4 Author Orcid Image ;   Chun-Quan Ou 1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics
Li Li 1 * , PhD ;   Ze-Lin Yan 1 * , BSc ;   Lei Luo 2 * , MD ;   Wenhui Liu 2 , MM ;   Zhou Yang 1 , BSc ;   Chen Shi 1 , BSc ;   Bo-Wen Ming 1 , BSc ;   Jun Yang 3 , PhD ;   Peihua Cao 1, 4 , PhD ;   Chun-Quan Ou 1 , PhD

1 State Key Laboratory of Organ Failure Research, Department of Biostatistics , School of Public Health , Southern Medical University , Guangzhou , CN

2 Guangzhou Center for Disease Control and Prevention , Guangzhou , CN

3 School of Public Health , Guanghzou Medical University , Guangzhou , CN

4 Clinical Research Center , Zhujiang Hospital , Southern Medical University , Guangzhou , CN

*these authors contributed equally

Corresponding Author:

  • Chun-Quan Ou, PhD
  • State Key Laboratory of Organ Failure Research, Department of Biostatistics
  • School of Public Health
  • Southern Medical University
  • No1023, South Shatai Road, Baiyun District
  • Guangzhou
  • CN
  • Phone: 86 20-61649461
  • Email: ouchunquan@hotmail.com