Journal List > J Bacteriol Virol > v.44(3) > 1034142

TOOLS
Ham, Jang, Jo, Oh, and Pak: Infection Frequency and Mixed infection on Eight Viruses from Patients with Acute Respiratory Syndromes in Seoul
Communication

J Bacteriol Virol 2014;44(3):274-282.

Published online: 9 February 2014

DOI: https://doi.org/10.4167/jbv.2014.44.3.274

Infection Frequency and Mixed infection on Eight Viruses from Patients with Acute Respiratory Syndromes in Seoul

Heejin Ham1, *, Jungim Jang1, Sukju Jo1, Younghee Oh1, Sonil Pak2

1Microbiology Department, Seoul Metropolitan Government Research Institute of Public Health and Environment, Gwacheon, Korea

2College of Veterinary Medicine, Kangwon National University, Chuncheon, Korea

*Corresponding author: Heejin Ham. Microbiology Department, Seoul Metropolitan Government Research Institute of Public Health and Environment, 30, Janggunmaeul 3-gil, Gwacheon 427-070, Korea. Phone: +82-2-570-3426, Fax: +82-2-570-3275, e-mail: hhj3814@seoul.go.kr

** This study was supported by KINRESS (Korea Influenza and Respiratory Viruses Surveillance System) project of the Korean CDC. We are grateful for this support.

Received 11 July 201422 August 2014       Accepted 26 August 2014

Copyright © 2014 Journal of Bacteriology and Virology

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

For our survey of the infection frequency and mixed infection of the viruses causing acute respiratory syndromes, we analyzed those viruses from acute respiratory patients in Seoul. Total 1,038 specimens of oropharyngeal swab were tested by the real-time polymerase chain reaction (PCR) kit (Kogenebiotech, Korea) from Jan. to Dec. in 2013. Virus detection rate causing acute respiratory infection was 46% (476/1,038). The most frequently isolated virus was only hRV (21.6%, 103/476), followed by only ADV (8.96%, 93/476), only IFV A (H3N2) (18.1%, 86/476), and only hCoV (7.8%, 37/476) etc. Most of acute respiratory viruses had severe fever. Infection frequency information and mixed infection status on respiratory viruses circulating in Seoul will be helpful for the management of acute respiratory infection and for epidemiological continuous studies.

Keywords: Mixed infection, Respiratory viruses, Seoul

REFERENCES

1). Kim HY, Kim KM, Kim SH, Son SK, Park HJ. Clinical manifestations of respiratory viruses in hospitalized children with acute viral lower respiratory tract infections from 2010 to 2011 in Busan and Gyeongsangnam-do, Korea. Pediatr Allergy Respir Dis. 2012; 22:265–72.
crossref
2). Lee EK, Lee YY, Choi KH. Epidemiology and clinical features of respiratory viruses in pediatric inpatients in a single medical center in Daegu from 2010 to 2012. Yeungnam Univ J Med. 2013; 30:95–100.
crossref
3). Park YK, Park SH, Kim NH, Park EH, Hwang SJ, Jin SH. Isolated respiratory virus and clinical features analysis of acute respiratory illness in Busan. The Annual Report of Busan Metropolitan city Institute of Health & Environment. 2011; 20:16–26. http://www.google.co.kr/search?hl=ko&source=hp&q=Isolated+respiratory+virus+and+clinical+features+analysis+of+acute+respiratory+illness+in+Busan. (Updated on Feb 2014).
4). Ham HJ, Jang JI, Choi SS, Oh SA, Jo SJ, Choi SM, et al. Epidemoilogical characterization of respiratory viruses detected from acute respiratory patients in Seoul. Ann Clin Microbiol. 2013; 16:188–95.
5). Seo JJ, Kim MJ, Kim SH, Kee HY, Chung JK, Kim ES, et al. Characterization of respiratory viral infection in children in Gwangju. Infection and Chemotherapy. 2008; 40:218–29.
crossref

Figure 1.
Distributions of viruses detected from patients with acute respiratory infection in 2013 in Seoul by periodic surveillance
jbv-44-274f1.tif
Table 1.
Distributions of viruses detected from patients with acute respiratory infection in 2013 in Seoul by periodic surveillance
Months/Viral agents Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total
Human rhinovirus 6 5 7 24 7 4 8 5 8 14 14 1 103
Adenovirus 3 3 2 6 8 3 12 12 8 13 11 12 93
Adenovirus+human bocavirus 1 2 1 4
Adenovirus+human coronavirus 1 1 2
Adenovirus+human rhinovirus 1 1 1 2 1 1 2 1 4 14
Adenovirus+parainfluenza virus 1 1 1 2 1 6
Adenovirus+respiratory syncytial virus 1 1
Human influenza virus A(H1N1)pdm09 3 6 4 1 14
Human influenza virus A(H3N2) 31 29 15 9 1 1 86
Human influenza virus A(H3N2)+ adenovirus 1 1
Human influenza virus A(H3N2)+ human coronavirus 1 1 2
Human influenza virus A(H3N2)+ human rhinovirus 1 1 1 3
Human influenza virus B 3 1 2 3 9
Human influenza virus B+ respiratory syncytial virus 1 1
Human bocavirus 1 1 2 4
Human bocavirus+human rhinovirus 1 1 2 4
Human bocavirus+parainfluenza virus 1 1
Human bocavirus+ respiratory syncytial virus 1 1
Human coronavirus 6 2 2 2 1 2 3 19 37
Human coronavirus+human rhinovirus 3 1 4
Human coronavirus+parainfluenza virus 1 1
Human coronavirus+ respiratory syncytial virus 1 1
Human metapneumovirus 1 1 1 1 2 6
Human metapneumovirus+ human rhinovirus 1 1
Parainfluenza virus 2 3 6 8 11 2 2 1 1 36
Parainfluenza virus+human rhinovirus 1 1 1 3
Respiratory syncytial virus 7 3 2 1 1 1 2 6 6 7 36
Respiratory syncytial virus+ human rhinovirus 1 1 2
Total detected numbers (%) 67 (53.6) 55 (56.1) 38 (38.8) 50 (53.8) 35 (40.2) 19 (31.7) 37 (50.7) 21 (51.2) 24 (47.1) 44 (49.4) 41 (39.4) 45 (37.8) 476 (45.9)
Sample numbers 125 98 98 93 87 60 73 41 51 89 104 119 1,038
Table 2.
Each age viral detection distribution from patients with acute respiratory infection in 2013 in Seoul by periodic surveillance
Ages' interval Detected numbers 0∼13 years 14∼83 years
Viral agents Total Male Female Total Male Female
Human rhinovirus 103 69 34 35 34 9 25
Adenovirus 93 83 44 39 10 7 3
Adenovirus+human bocavirus 4 4 1 3
Adenovirus+human coronavirus 2 2 1 1
Adenovirus+human rhinovirus 14 13 5 8 1 1
Adenovirus+parainfluenza virus 6 6 3 3
Adenovirus+respiratory syncytial virus 1 1 1
Human influenza virus A(H1N1)pdm09 14 5 4 1 9 4 5
Human influenza virus A(H3N2) 86 27 12 15 59 35 24
Human influenza virus A(H3N2)+adenovirus 1 1 1
Human influenza virus A(H3N2)+human coronavirus 2 1 1 1 1
Human influenza virus A(H3N2)+human rhinovirus 3 3 1 2
Human influenza virus B 9 6 4 2 3 3
Human influenza virus B+respiratory syncytial virus 1 1 1
Human bocavirus 4 4 3 1
Human bocavirus+human rhinovirus 4 4 4
Human bocavirus+parainfluenza virus 1 1 1
Human bocavirus+respiratory syncytial virus 1 1 1
Human coronavirus 37 28 12 16 9 4 5
Human coronavirus+human rhinovirus 4 4 2 2
Human coronavirus+parainfluenza virus 1 1 1
Human coronavirus+respiratory syncytial virus 1 1 1
Human metapneumovirus 6 5 1 4 1 1
Human metapneumovirus+human rhinovirus 1 1 1
Parainfluenza virus 36 24 12 12 12 3 9
Parainfluenza virus+human rhinovirus 3 3 1 2
Respiratory syncytial virus 36 26 14 12 10 4 6
Respiratory syncytial virus+human rhinovirus 2 2 1 1
Total detected numbers (%) 476 (45.9) 324 (54.0) 163 (52.5) 161 (56.2) 152 (34.7) 70 (33.9) 82 (35.3)
Sample numbers 1,038 600 314 286 438 206 232
Table 3.
Clinical symptoms from patients with acute respiratory infection in 2013 in Seoul by periodic surveillance
Symptoms or diseases/Viral agents Detected numbers Clinical symptoms
Fever Cough Pharyngitis Chill Headache Muscle pain Snot Stuffiness Hoarse Fineness sound Sputum Vomitting Loss of appetite Asthma
Human rhinovirus 103 69 46 31 15 20 20 50 22 7 30 3 8 2
Adenovirus 93 81 29 38 11 25 17 42 25 2 22 11 9 2
Adenovirus+ human bocavirus 4 4 3 1 3 1 1 1 1 1 1
Adenovirus+ human coronavirus 2 2 2 1 2 1 2
Adenovirus+ human rhinovirus 14 10 6 3 1 2 5 4 4 1
Adenovirus+ parainfluenza virus 6 6 5 4 1 4 2 1 2
Adenovirus+respiratory syncytial virus 1 1 1 1
Human influenza virus A(H1N1)pdm09 14 14 8 6 6 6 6 5 1 1 2 1 1
Human influenza virus A(H3N2) 86 75 62 51 41 39 48 50 20 5 1 34 4 4 2
Human influenza virus A(H3N2)+adenovirus 1 1
Human influenza virus A(H3N2)+human coronavirus 2 2 1 1 1 1
Human influenza virus A(H3N2)+human rhinovirus 3 3 3 1 1 2
Human influenza virus B 9 8 5 6 7 4 7 6 2 3
Human influenza virus B+respiratory syncytial virus 1 1 1 1 1
Human bocavirus 4 4 2 2 1 3 2 1
Human bocavirus+ human rhinovirus 4 3 2 1 1
Human bocavirus+ parainfluenza virus 1 1 1 1
Human bocavirus+ respiratory syncytial virus 1 1 1 1 1 1
Human coronavirus 37 33 23 10 3 6 4 19 11 9 1 1
Human coronavirus+ human rhinovirus 4 3 1 1 1
Human coronavirus+ parainfluenza virus 1
Human coronavirus+ respiratory syncytial virus 1 1 1
Human metapneumovirus 6 4 3 2 1 1 1 3 1
Human metapneumovirus+ human rhinovirus 1 1 1 1 1 1
Parainfluenza virus 36 22 15 16 10 12 10 15 8 4 12 1 1
Parainfluenza virus+ human rhinovirus 3 2 1 1
Respiratory syncytial virus 36 19 20 8 5 5 7 17 10 3 16 1 2
Respiratory syncytial virus+human rhinovirus 2 1 1
Total detected numbers (%) 476 (45.9) 372 (46.7) 240 (49.2) 180 (41.4) 101 (37.5) 121 (38.7) 124 (38.3) 235 (50.2) 112 (48.1) 24 (53.3) 3 (37.5) 144 (51.1) 22 (44.9) 27 (45.8) 9 (60.0)
Sample numbers 1,038 797 488 435 269 313 324 468 233 45 8 282 49 59 15
TOOLS
Similar articles