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Emerging Zoonotic Influenza A Virus Detection in Myanmar: Surveillance Practices and Findings.
Health Secur. 2017 Sep/Oct; 15(5):483-493.HS

Abstract

We describe 2-season, risk-based, virological surveillance for zoonotic avian influenza in Myanmar and report the first detection of influenza A subtypes H5N6 and H9N2 in Myanmar. The study focused mainly on the live bird markets in border townships, where illegal poultry importation from China usually takes place. The objective was to enhance early warning for low pathogenic avian influenza A(H7N9) incursion. The study followed the guidelines of the Food and Agriculture Organization (FAO) of the United Nations for influenza A(H7N9) surveillance in uninfected countries. The sampling strategy was risk-based at all sampling levels. Sample collection and laboratory analysis were carried out with the government of the Union of the Republic of Myanmar. Laboratory testing was according to a previously published FAO laboratory protocol and algorithm designed to detect a range of influenza A subtypes. Challenges to implementation are outlined. The study provided evidence that the H7N9 subtype had not entered Myanmar but detected other subtypes, including H5N6 and H9N2. Although there were logistical difficulties associated with nation-related issues, the results highlight the importance and feasibility of this risk-based active surveillance, which should be urgently established in other countries, especially those located at the east-southeast influenza epicenter.

Authors

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Pub Type(s)

Journal Article

Language

eng

PubMed ID

29016219

Citation

Tun Win, Ye, et al. "Emerging Zoonotic Influenza a Virus Detection in Myanmar: Surveillance Practices and Findings." Health Security, vol. 15, no. 5, 2017, pp. 483-493.
Tun Win Y, Gardner E, Hadrill D, et al. Emerging Zoonotic Influenza A Virus Detection in Myanmar: Surveillance Practices and Findings. Health Secur. 2017;15(5):483-493.
Tun Win, Y., Gardner, E., Hadrill, D., Su Mon, C. C., Kyin, M. M., Maw, M. T., Claes, F., von Dobschuetz, S., Kalpravidh, W., Wongsathapornchai, K., Mon, H. H., Myint, W. W., Thein, W. Z., & Mon, P. P. (2017). Emerging Zoonotic Influenza A Virus Detection in Myanmar: Surveillance Practices and Findings. Health Security, 15(5), 483-493. https://doi.org/10.1089/hs.2016.0131
Tun Win Y, et al. Emerging Zoonotic Influenza a Virus Detection in Myanmar: Surveillance Practices and Findings. Health Secur. 2017 Sep/Oct;15(5):483-493. PubMed PMID: 29016219.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Emerging Zoonotic Influenza A Virus Detection in Myanmar: Surveillance Practices and Findings. AU - Tun Win,Ye, AU - Gardner,Emma, AU - Hadrill,David, AU - Su Mon,Cho Cho, AU - Kyin,Maung Maung, AU - Maw,Min Thein, AU - Claes,Filip, AU - von Dobschuetz,Sophie, AU - Kalpravidh,Wantanee, AU - Wongsathapornchai,Kachen, AU - Mon,Hla Hla, AU - Myint,Win Win, AU - Thein,Wai Zin, AU - Mon,Pont Pont, Y1 - 2017/10/10/ PY - 2017/10/11/pubmed PY - 2018/6/7/medline PY - 2017/10/11/entrez KW - Avian influenza KW - Infectious diseases KW - Public health preparedness/response KW - Surveillance SP - 483 EP - 493 JF - Health security JO - Health Secur VL - 15 IS - 5 N2 - We describe 2-season, risk-based, virological surveillance for zoonotic avian influenza in Myanmar and report the first detection of influenza A subtypes H5N6 and H9N2 in Myanmar. The study focused mainly on the live bird markets in border townships, where illegal poultry importation from China usually takes place. The objective was to enhance early warning for low pathogenic avian influenza A(H7N9) incursion. The study followed the guidelines of the Food and Agriculture Organization (FAO) of the United Nations for influenza A(H7N9) surveillance in uninfected countries. The sampling strategy was risk-based at all sampling levels. Sample collection and laboratory analysis were carried out with the government of the Union of the Republic of Myanmar. Laboratory testing was according to a previously published FAO laboratory protocol and algorithm designed to detect a range of influenza A subtypes. Challenges to implementation are outlined. The study provided evidence that the H7N9 subtype had not entered Myanmar but detected other subtypes, including H5N6 and H9N2. Although there were logistical difficulties associated with nation-related issues, the results highlight the importance and feasibility of this risk-based active surveillance, which should be urgently established in other countries, especially those located at the east-southeast influenza epicenter. SN - 2326-5108 UR - https://www.unboundmedicine.com/medline/citation/29016219/full_citation L2 - https://www.liebertpub.com/doi/full/10.1089/hs.2016.0131?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -