Statistical Analysis of Common Respiratory Viruses Reveals the Binary of Virus-Virus Interaction-Reference-Cited by-全球学者库

Statistical Analysis of Common Respiratory Viruses Reveals the Binary of Virus-Virus Interaction

Published:2023-08-17 Issue:4 Volume:11 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Zhang Lulu¹^ORCID,Xiao Yan¹²,Xiang Zichun¹,Chen Lan¹,Wang Ying¹,Wang Xinming¹,Dong Xiaojing³,Ren Lili¹²^ORCID,Wang Jianwei¹²^ORCID

Affiliation:

1. Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China

2. Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China

3. Santa Clara University, Santa Clara, California, USA

Abstract

Systematic quantitative assessment of the interactions between different respiratory viruses is pivotal for the prevention of infectious diseases and the development of vaccine strategies. Our data showed stable interactions among respiratory viruses at human population level, which are season irrelevant.

Funder

National Major Science and Technology Project for Control and Prevention of Major Infectious Diseases in China

Chinese Academy of Medical Science Innovation Fund for Medical Sciences

Fundamental Research Funds for the Central Universities

The Nonprofit Central Research Institute Fund of Chinese Academy of Medical Sciences

Science Fund for Creative Research Groups of the National Natural Science Foundation of China

The National Natural Sciences Foundation of China

Fondation Mérieux

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.00019-23

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