Fine-scale Tracking of Wild Waterfowl and Their Impact on Highly Pathogenic Avian Influenza Outbreaks in the Republic of Korea, 2014-2015

Overview

Journal Sci Rep

Specialty Science

Date 2020 Oct 30

PMID 33122803

Citations 6

Authors

Kyuyoung Lee

Daesung Yu

Beatriz Martinez-Lopez

Hachung Yoon

Sung-Il Kang

Seong-Keun Hong

Ilseob Lee

Yongmyung Kang

Wooseg Jeong

Eunesub Lee

Affiliations

Soon will be listed here.

Abstract

Wild migratory waterfowl are considered one of the most important reservoirs and long-distance carriers of highly pathogenic avian influenza (HPAI). Our study aimed to explore the spatial and temporal characteristics of wild migratory waterfowl's wintering habitat in the Republic of Korea (ROK) and to evaluate the impact of these habitats on the risk of HPAI outbreaks in commercial poultry farms. The habitat use of 344 wild migratory waterfowl over four migration cycles was estimated based on tracking records. The association of habitat use with HPAI H5N8 outbreaks in poultry farms was evaluated using a multilevel logistic regression model. We found that a poultry farm within a wild waterfowl habitat had a 3-8 times higher risk of HPAI outbreak than poultry farms located outside of the habitat. The range of wild waterfowl habitats increased during autumn migration, and was associated with the epidemic peak of HPAI outbreaks on domestic poultry farms in the ROK. Our findings provide a better understanding of the dynamics of HPAI infection in the wildlife-domestic poultry interface and may help to establish early detection, and cost-effective preventive measures.

Citing Articles

Avian Influenza: Lessons from Past Outbreaks and an Inventory of Data Sources, Mathematical and AI Models, and Early Warning Systems for Forecasting and Hotspot Detection to Tackle Ongoing Outbreaks.

Musa E, Nia Z, Bragazzi N, Leung D, Lee N, Kong J Healthcare (Basel). 2024; 12(19).

PMID: 39408139 PMC: 11476403. DOI: 10.3390/healthcare12191959.

Association between highly pathogenic avian influenza outbreaks and weather conditions in Japan.

Fujimoto Y, Haga T J Vet Med Sci. 2024; 86(10):1045-1051.

PMID: 39155082 PMC: 11442392. DOI: 10.1292/jvms.23-0521.

Impact of inland waters on highly pathogenic avian influenza outbreaks in neighboring poultry farms in South Korea.

Ahmad S, Koh K, Yoo D, Suh G, Lee J, Lee C J Vet Sci. 2022; 23(3):e36.

PMID: 35618317 PMC: 9149499. DOI: 10.4142/jvs.21278.

Environmental factors and spatiotemporal distribution characteristics of the global outbreaks of the highly pathogenic avian influenza H5N1.

Chen W, Zhang X, Zhao W, Yang L, Wang Z, Bi H Environ Sci Pollut Res Int. 2022; 29(29):44175-44185.

PMID: 35128608 PMC: 8818332. DOI: 10.1007/s11356-022-19016-1.

Bridging the Local Persistence and Long-Range Dispersal of Highly Pathogenic Avian Influenza Virus (HPAIv): A Case Study of HPAIv-Infected Sedentary and Migratory Wildfowls Inhabiting Infected Premises.

Yoo D, Kang S, Lee Y, Lee E, Kim W, Lee Y Viruses. 2022; 14(1).

PMID: 35062320 PMC: 8780574. DOI: 10.3390/v14010116.

References

Lee K, Lee E, Lee H, Heo G, Lee Y, Jung J . Highly Pathogenic Avian Influenza A(H5N6) in Domestic Cats, South Korea. Emerg Infect Dis. 2018; 24(12):2343-2347. PMC: 6256404. DOI: 10.3201/eid2412.180290. View

Viana D, Santamaria L, Figuerola J . Migratory Birds as Global Dispersal Vectors. Trends Ecol Evol. 2016; 31(10):763-775. DOI: 10.1016/j.tree.2016.07.005. View

Russell C, Hu M, Okda F . Influenza Hemagglutinin Protein Stability, Activation, and Pandemic Risk. Trends Microbiol. 2018; 26(10):841-853. PMC: 6150828. DOI: 10.1016/j.tim.2018.03.005. View

Rejmanek D, Hosseini P, Mazet J, Daszak P, Goldstein T . Evolutionary Dynamics and Global Diversity of Influenza A Virus. J Virol. 2015; 89(21):10993-1001. PMC: 4621101. DOI: 10.1128/JVI.01573-15. View

van Dijk J, Fouchier R, Klaassen M, Matson K . Minor differences in body condition and immune status between avian influenza virus-infected and noninfected mallards: a sign of coevolution?. Ecol Evol. 2015; 5(2):436-49. PMC: 4314274. DOI: 10.1002/ece3.1359. View

Kim Y, Dommergues L, Msa A, Merot P, Cardinale E, Edmunds J . Livestock trade network: potential for disease transmission and implications for risk-based surveillance on the island of Mayotte. Sci Rep. 2018; 8(1):11550. PMC: 6070536. DOI: 10.1038/s41598-018-29999-y. View

Palm E, Newman S, Prosser D, Xiao X, Ze L, Batbayar N . Mapping migratory flyways in Asia using dynamic Brownian bridge movement models. Mov Ecol. 2015; 3(1):3. PMC: 4337761. DOI: 10.1186/s40462-015-0029-6. View

Hill N, Runstadler J . A Bird's Eye View of Influenza A Virus Transmission: Challenges with Characterizing Both Sides of a Co-Evolutionary Dynamic. Integr Comp Biol. 2016; 56(2):304-16. PMC: 5964799. DOI: 10.1093/icb/icw055. View

Both C, Bouwhuis S, Lessells C, Visser M . Climate change and population declines in a long-distance migratory bird. Nature. 2006; 441(7089):81-3. DOI: 10.1038/nature04539. View

10.

Lu L, Leigh Brown A, Lycett S . Quantifying predictors for the spatial diffusion of avian influenza virus in China. BMC Evol Biol. 2017; 17(1):16. PMC: 5237338. DOI: 10.1186/s12862-016-0845-3. View

11.

Horne J, Garton E, Krone S, Lewis J . Analyzing animal movements using Brownian bridges. Ecology. 2007; 88(9):2354-63. DOI: 10.1890/06-0957.1. View

12.

Kim H, Kwon Y, Jang I, Lee Y, Kang H, Lee E . Pathologic Changes in Wild Birds Infected with Highly Pathogenic Avian Influenza A(H5N8) Viruses, South Korea, 2014. Emerg Infect Dis. 2015; 21(5):775-80. PMC: 4412241. DOI: 10.3201/eid2105.141967. View

13.

Cappelle J, Zhao D, Gilbert M, Nelson M, Newman S, Takekawa J . Risks of avian influenza transmission in areas of intensive free-ranging duck production with wild waterfowl. Ecohealth. 2014; 11(1):109-19. PMC: 4047217. DOI: 10.1007/s10393-014-0914-2. View

14.

Kwon Y, Thomas C, Swayne D . Variability in pathobiology of South Korean H5N1 high-pathogenicity avian influenza virus infection for 5 species of migratory waterfowl. Vet Pathol. 2010; 47(3):495-506. DOI: 10.1177/0300985809359602. View

15.

Shin J, Woo C, Wang S, Jeong J, An I, Hwang J . Prevalence of avian influenza virus in wild birds before and after the HPAI H5N8 outbreak in 2014 in South Korea. J Microbiol. 2015; 53(7):475-80. DOI: 10.1007/s12275-015-5224-z. View

16.

Amirpour Haredasht S, Polson D, Main R, Lee K, Holtkamp D, Martinez-Lopez B . Modeling the spatio-temporal dynamics of porcine reproductive & respiratory syndrome cases at farm level using geographical distance and pig trade network matrices. BMC Vet Res. 2017; 13(1):163. PMC: 5463409. DOI: 10.1186/s12917-017-1076-6. View

17.

Hussey N, Kessel S, Aarestrup K, Cooke S, Cowley P, Fisk A . ECOLOGY. Aquatic animal telemetry: A panoramic window into the underwater world. Science. 2015; 348(6240):1255642. DOI: 10.1126/science.1255642. View

18.

Bouwstra R, Koch G, Heutink R, Harders F, van der Spek A, Elbers A . Phylogenetic analysis of highly pathogenic avian influenza A(H5N8) virus outbreak strains provides evidence for four separate introductions and one between-poultry farm transmission in the Netherlands, November 2014. Euro Surveill. 2015; 20(26). DOI: 10.2807/1560-7917.es2015.20.26.21174. View

19.

Stevens K, Gilbert M, Pfeiffer D . Modeling habitat suitability for occurrence of highly pathogenic avian influenza virus H5N1 in domestic poultry in Asia: a spatial multicriteria decision analysis approach. Spat Spatiotemporal Epidemiol. 2013; 4:1-14. DOI: 10.1016/j.sste.2012.11.002. View

20.

Hill S, Lee Y, Song B, Kang H, Lee E, Hanna A . Wild waterfowl migration and domestic duck density shape the epidemiology of highly pathogenic H5N8 influenza in the Republic of Korea. Infect Genet Evol. 2015; 34:267-77. PMC: 4539883. DOI: 10.1016/j.meegid.2015.06.014. View