Deviations in RSV epidemiological patterns and population structures in the United States following the COVID-19

Estefany Rios-Guzman1,2, Lacy M Simons1,2, Taylor J Dean1,2

  • 1Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.

Nature Communications
|April 20, 2024
PubMed

Insights

Respiratory Syncytial Virus (RSV) prevalence changed post-COVID-19, with RSV-A hospitalizations increasing intensive care risk. RSV-B showed genetic shifts, suggesting potential impacts on future vaccines and therapies.

Area of Science:

  • Virology
  • Epidemiology
  • Public Health

Background:

  • Respiratory Syncytial Virus (RSV) significantly impacts vulnerable populations like infants, the immunocompromised, and older adults.
  • RSV patterns shifted post-COVID-19 non-pharmaceutical interventions, with altered seasonality and unclear underlying factors.
  • Understanding these changes is crucial for public health strategies and medical interventions.

Purpose of the Study:

  • To investigate the epidemiology, clinical severity, and genetic diversity of RSV in Chicago from 2009 to 2023.
  • To identify factors contributing to altered RSV seasonality and prevalence post-2020.
  • To assess differences in clinical outcomes between RSV-A and RSV-B infections and analyze genetic evolution.

Main Methods:

  • Retrospective cohort study analyzing RSV data from 2009-2023 in Chicago, Illinois.
  • Examination of RSV diagnostic platform changes and their impact on detection rates.
  • Analysis of clinical severity, focusing on intensive care unit admission risk for RSV-A versus RSV-B.
  • Genomic analysis of RSV strains to identify population structures and genetic shifts, particularly in antigenic regions.

Main Results:

  • Increased RSV detections post-2020 were linked to changes in diagnostic platforms, particularly in outpatient settings.
  • Hospitalized adults with RSV-A faced higher intensive care admission risk compared to those with RSV-B.
  • RSV-A population structure remained stable, whereas RSV-B evolved into distinct geographic clusters.
  • Mutations were identified in the fusion protein's antigenic regions of RSV-B, indicating potential convergent evolution.

Conclusions:

  • Diagnostic platform changes significantly influenced observed RSV trends post-2020.
  • RSV-A and RSV-B exhibit differential clinical severity and evolutionary trajectories.
  • Genetic shifts in RSV, especially concerning the fusion protein, may have implications for vaccine and therapeutic efficacy.
  • Further research is needed to understand the long-term impact of these evolutionary changes on RSV control.

Related Concept Videos

Viral Mutations00:36

Viral Mutations

A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
32.3K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
364
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
94
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
125
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
254
Rous Sarcoma Virus (RSV) and Cancer01:03

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand  RNA genome. Its genome consists of four main open...
5.1K