Advances, challenges and opportunities of phylogenetic and social network analysis using COVID-19 data.
Brief Bioinform
; 23(1)2022 01 17.
Article
in English
| MEDLINE | ID: covidwho-1447577
ABSTRACT
Coronavirus disease 2019 (COVID-19) has attracted research interests from all fields. Phylogenetic and social network analyses based on connectivity between either COVID-19 patients or geographic regions and similarity between syndrome coronavirus 2 (SARS-CoV-2) sequences provide unique angles to answer public health and pharmaco-biological questions such as relationships between various SARS-CoV-2 mutants, the transmission pathways in a community and the effectiveness of prevention policies. This paper serves as a systematic review of current phylogenetic and social network analyses with applications in COVID-19 research. Challenges in current phylogenetic network analysis on SARS-CoV-2 such as unreliable inferences, sampling bias and batch effects are discussed as well as potential solutions. Social network analysis combined with epidemiology models helps to identify key transmission characteristics and measure the effectiveness of prevention and control strategies. Finally, future new directions of network analysis motivated by COVID-19 data are summarized.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Phylogeny
/
Pandemics
/
SARS-CoV-2
/
COVID-19
/
Models, Biological
Type of study:
Observational study
/
Randomized controlled trials
/
Reviews
/
Systematic review/Meta Analysis
Limits:
Humans
Language:
English
Journal subject:
Biology
/
Medical Informatics
Year:
2022
Document Type:
Article
Affiliation country:
Bib
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