Clinical characteristics and predictive models for hospitalized patients with COVID-19 combined with bacterial pneumonia

These findings provide valuable insights for clinicians in the early diagnosis of bacterial pneumonia in COVID-19 patients, which may facilitate timely intervention and treatment.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-11-21
DOI
https://doi.org/10.1371/journal.pone.0336668
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical characteristics and predictive models for hospitalized patients with COVID-19 combined with bacterial pneumonia

Zhiyong Zong, Da He, Mei Liang, Jinzhi He et al.
PLoS ONE
Antibiotic Use and Resistance
article

Clinical characteristics and predictive models for hospitalized patients with COVID-19 combined with bacterial pneumonia

Zhiyong Zong, Da He, Mei Liang, Jinzhi He, Xiaoran Li, Yanfang Zhang, Jian Xu, Yang Yang, Man Yuan, Junyan Qu
article en

Abstract

These findings provide valuable insights for clinicians in the early diagnosis of bacterial pneumonia in COVID-19 patients, which may facilitate timely intervention and treatment.

PLoS ONEVol. 20(11)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Openalex Percentile: Top 57%
Antibiotic Use and Resistance
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.