Epidemiological Application of Population Genetics and Behavioral Ecology to Unravel the Dynamics of Influenza Virus Infections in Equine and Avian Populations
Author | : Kyuyoung Lee |
Publisher | : |
Total Pages | : 0 |
Release | : 2020 |
Genre | : |
ISBN | : |
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Influenza virus is an infectious pathogen causing significant respiratory signs and its infection has been a constant burden of global public health. Unique characteristics of influenza virus poses a challenge to investigate transmission dynamics using conventional epidemiological approaches on statistical inference on a host scale. First, evolutionary change of influenza virus in key antigenic sites impacts on the effectiveness of preventive and control program. Second, current complexity of hosts' movement addresses a difficulty in tracing transmission of infectious strains and intensified the potential of pandemic influenza outbreaks. Third, dynamics of influenza virus infection in wild host species complicates the identification of novel influenza spillover into other host species such as human and livestock. This epidemiological study implemented multi-scale multidisciplinary approaches to evaluate the transmission dynamics of influenza virus in horse and bird populations. In the first chapter, we evaluated the evolutionary characteristics of equine influenza virus (EIV) H3N8 strains detected in the United States (US) from 2012 to 2017 using phylogenetic and bioinformatic tools. Almost all US strains belonged to currently dominant FC1 clade and accumulated nucleotide substitutions in key antigenic regions of HA gene under heterogenous positive selection by sites. These findings revealed that antigenic drift in the HA gene of field strains in the US likely impacted on the evasion of vaccine-induced immunity and reduced the contemporary vaccine protection in US horse population. The second chapter predicted the pattern of EIV H3N8 spread on a US and global scale by phylodynamic approaches. Global phylogeography found that most novel strains originated EIV lineage in North America and spread to other global regions. US phylogeography predicted that southern and midwestern strains were mostly likely source of novel strains in the US horse population. EIV H3N8 changed approximately three nucleotides per year in HA gene consistently, which likely formed antigenic drift of global EIV strains. In the third chapter of my study, we estimated the habitat use of wild migratory waterfowl over four migration cycles in the Republic of Korea from 2013 to 2016 based on tracking records of fine-scale tracking device. Our study revealed that commercial poultry farms located within the habitat of wild waterfowl showed significantly higher risk for highly pathogenic avian influenza (HPAI) outbreaks compared to poultry farms outside of the habitat. These finding indicated that wildlife-domestic interface likely impacted on the novel HPAI spillover into domestic poultry farms. Overall, the three chapters of my study not only provided valuable insights about influenza virus infection dynamics but also illustrated how integration of multi-scale multidisciplinary epidemiological approaches can be used to address complex epidemiological problems. Ultimately, my research will better support global disease surveillance and more cost-effectively prevent and control influenza pandemics or other emerging and re-emerging diseases at the wildlife-domestic-human interface.