Molecular epidemiological surveillance of respiratory syncytial virus infection in Myanmar from 2019 to 2023

To evaluate genetic changes in respiratory syncytial virus (RSV) between 2019 and 2023, we analyzed RSV strains from Myanmar before and after the COVID- 19 pandemic. Real-time polymerase chain reaction (RT-PCR) positive samples from children presenting with acute respiratory infections at outpatient clinics in Yangon were sequenced to determine the genotype. Phylogenetic and molecular evolutionary analyses were conducted using the Bayesian Markov Chain Monte Carlo method to construct the time-scale Maximum Clade Credibility tree. Of 1127 samples, 104 (9.2%) RSV-A and 233 (20.7%) RSV-B were positive by RT-PCR. There was an absence of a notable epidemic in 2020, a temporal shift with a surge of RSV-A in the 2021 outbreak, a lack of expected cases in 2022 and a substantial resurgence of RSV-B in 2023. The genotype of RSV-A was mainly A.D.3 lineage through the study period, while RSV-B were B.D.4.1.1 and B.D.E.1. RSV-A showed that the same lineage persisted within Myanmar throughout the pandemic, leading to a large outbreak post-COVID. In contrast, RSV-B strains appear to have temporarily disappeared during the pandemic, but subsequently, globally circulating strains likely entered Myanmar, resulting in a major outbreak in 2023. The estimated evolutionary rate at the G-ectodomain for RSV-A was 7.76 × 10⁻³ and RSV-B was 5.67 × 10⁻³ substitutions/site/year. Strengthening genomic surveillance will likely support comparisons of circulating strains with those in other countries and facilitate the introduction of vaccines and other interventions.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-16
DOI
https://doi.org/10.1038/s41598-025-97103-2
Citations
3
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
4.06

Funders

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

Molecular epidemiological surveillance of respiratory syncytial virus infection in Myanmar from 2019 to 2023

Htay Htay Tin, Yuyang Sun, Yadanar Kyaw, Jiaming Li et al.
3 citations
Scientific Reports
Respiratory viral infections research
4.06
article

Molecular epidemiological surveillance of respiratory syncytial virus infection in Myanmar from 2019 to 2023

Htay Htay Tin, Yuyang Sun, Yadanar Kyaw, Jiaming Li, Keita Wagatsuma, Moe Myat Aye, Tsutomu Tamura, Swe Setk, Sayaka Yoshioka, Tri Bayu Purnama, Su Mon Kyaw Win, Irina Chon, Teruhime Otoguro, Wint Wint Phyu, Reiko Saito, Hisami Watanabe
article en
3 citations

Abstract

To evaluate genetic changes in respiratory syncytial virus (RSV) between 2019 and 2023, we analyzed RSV strains from Myanmar before and after the COVID- 19 pandemic. Real-time polymerase chain reaction (RT-PCR) positive samples from children presenting with acute respiratory infections at outpatient clinics in Yangon were sequenced to determine the genotype. Phylogenetic and molecular evolutionary analyses were conducted using the Bayesian Markov Chain Monte Carlo method to construct the time-scale Maximum Clade Credibility tree. Of 1127 samples, 104 (9.2%) RSV-A and 233 (20.7%) RSV-B were positive by RT-PCR. There was an absence of a notable epidemic in 2020, a temporal shift with a surge of RSV-A in the 2021 outbreak, a lack of expected cases in 2022 and a substantial resurgence of RSV-B in 2023. The genotype of RSV-A was mainly A.D.3 lineage through the study period, while RSV-B were B.D.4.1.1 and B.D.E.1. RSV-A showed that the same lineage persisted within Myanmar throughout the pandemic, leading to a large outbreak post-COVID. In contrast, RSV-B strains appear to have temporarily disappeared during the pandemic, but subsequently, globally circulating strains likely entered Myanmar, resulting in a major outbreak in 2023. The estimated evolutionary rate at the G-ectodomain for RSV-A was 7.76 × 10⁻³ and RSV-B was 5.67 × 10⁻³ substitutions/site/year. Strengthening genomic surveillance will likely support comparisons of circulating strains with those in other countries and facilitate the introduction of vaccines and other interventions.

Scientific ReportsVol. 15(1)
East Yangon General Hospital (MM), University of Medicine Magway (MM), Dagon University (MM), Niigata Institute of Technology (JP), University of Medical Technology Yangon (MM), Niigata University (JP)
University of Washington, Japan Agency for Medical Research and Development, International Development Research Centre
Good health and well-being
Openalex Percentile: Top 7%
Respiratory viral infections research
4.06
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.