Epidemiology and genetic diversity of common human coronaviruses in Beijing, 2015-2023: A prospective multicenter study

This nine-year multicenter study in Beijing systematically elucidated that the four HCoVs exhibit distinct epidemiological characteristics, susceptible populations, and common mutations in amino acid sites, especially in the context of COVID-19. Therefore, continuous epidemiological surveillance and genetic characterization studies are imperative for predictive warning and timely identification of emerging coronavirus.

Authors

Institutions

Publication Details

Journal
International Journal of Infectious Diseases
Published
2025-05-14
DOI
https://doi.org/10.1016/j.ijid.2025.107926
Citations
1
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiology and genetic diversity of common human coronaviruses in Beijing, 2015-2023: A prospective multicenter study

Xiaofeng Wei, Maozhong Li, Cheng Gong, Hui Xie et al.
1 citations
International Journal of Infectious Diseases
SARS-CoV-2 and COVID-19 Research
1.40
article

Epidemiology and genetic diversity of common human coronaviruses in Beijing, 2015-2023: A prospective multicenter study

Xiaofeng Wei, Maozhong Li, Cheng Gong, Hui Xie, Fang Huang, Qi Huang, Kang Lu, Yi‐Ting Wang, Mei Dong
article en
1 citations

Abstract

This nine-year multicenter study in Beijing systematically elucidated that the four HCoVs exhibit distinct epidemiological characteristics, susceptible populations, and common mutations in amino acid sites, especially in the context of COVID-19. Therefore, continuous epidemiological surveillance and genetic characterization studies are imperative for predictive warning and timely identification of emerging coronavirus.

International Journal of Infectious DiseasesVol. 158
Beijing Center for Disease Prevention and Control (CN)
Beijing Municipal Health Commission
Good health and well-being
Openalex Percentile: Top 21%
SARS-CoV-2 and COVID-19 Research
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.