Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020

Viruses. 2022 Jan 27;14(2):259. doi: 10.3390/v14020259.

Abstract

We aimed to analyze the situation of the first two epidemic waves in Myanmar using the publicly available daily situation of COVID-19 and whole-genome sequencing data of SARS-CoV-2. From March 23 to December 31, 2020, there were 33,917 confirmed cases and 741 deaths in Myanmar (case fatality rate of 2.18%). The first wave in Myanmar from March to July was linked to overseas travel, and then a second wave started from Rakhine State, a western border state, leading to the second wave spreading countrywide in Myanmar from August to December 2020. The estimated effective reproductive number (Rt) nationwide reached 6-8 at the beginning of each wave and gradually decreased as the epidemic spread to the community. The whole-genome analysis of 10 Myanmar SARS-CoV-2 strains together with 31 previously registered strains showed that the first wave was caused by GISAID clade O or PANGOLIN lineage B.6 and the second wave was changed to clade GH or lineage B.1.36.16 with a close genetic relationship with other South Asian strains. Constant monitoring of epidemiological situations combined with SARS-CoV-2 genome analysis is important for adjusting public health measures to mitigate the community transmissions of COVID-19.

Keywords: COVID-19; SARS-CoV-2; case fatality rate; community transmission; molecular epidemiology; reproductive number; whole-genome sequences.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • COVID-19 / epidemiology*
  • COVID-19 / transmission
  • Child
  • Community-Acquired Infections / epidemiology*
  • Community-Acquired Infections / transmission
  • Community-Acquired Infections / virology*
  • Epidemics / statistics & numerical data*
  • Female
  • Genome, Viral
  • Humans
  • Male
  • Middle Aged
  • Mutation
  • Myanmar / epidemiology
  • Phylogeny
  • Public Health / statistics & numerical data*
  • SARS-CoV-2 / classification
  • SARS-CoV-2 / genetics*
  • Whole Genome Sequencing
  • Young Adult