Concurrent culprits: Deciphering CMV co-infection in persistent COVID-19 scenarios

This case series highlights the complex relationship between SARS-CoV-2 and CMV, emphasizing the need for a comprehensive virological evaluation of persistent COVID-19 cases. As the global medical landscape has grappled with the evolving challenges of the pandemic, incorporating such multifaceted clinical insights remains paramount.

Authors

Institutions

Publication Details

Journal
Przeglad Epidemiologiczny
Published
2025-10-15
DOI
https://doi.org/10.32394/pe/211664
Primary Topic
Cytomegalovirus and herpesvirus research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Concurrent culprits: Deciphering CMV co-infection in persistent COVID-19 scenarios

Miłosz Parczewski, Daniel Chober, Bogusz Aksak‐Wąs, Krystian Awgul
Przeglad Epidemiologiczny
Cytomegalovirus and herpesvirus research
article

Concurrent culprits: Deciphering CMV co-infection in persistent COVID-19 scenarios

Miłosz Parczewski, Daniel Chober, Bogusz Aksak‐Wąs, Krystian Awgul
article en

Abstract

This case series highlights the complex relationship between SARS-CoV-2 and CMV, emphasizing the need for a comprehensive virological evaluation of persistent COVID-19 cases. As the global medical landscape has grappled with the evolving challenges of the pandemic, incorporating such multifaceted clinical insights remains paramount.

Przeglad EpidemiologicznyVol. 79(3)
Pomeranian Medical University (PL)
Openalex Percentile: Top 61%
Cytomegalovirus and herpesvirus research
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.