Hachung Yoon1*, Ilseob Lee1, Giphil Cho2, Hyunmin Kim2 and Eunesub Lee1
1Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Republic of Korea
2Finance Fishery Manufacture Industrial Mathematics Center on Big Data, Pusan National University, Republic of Korea
*Corresponding author: Hachung Yoon, Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon, Gyeongsangbuk-do, 39660 Republic of Korea
Submission: November 02, 2021;Published: November 19, 2021
ISSN: 2576-9162 Volume8 Issue4
Since the early 2000s, outbreaks of Highly Pathogenic Avian Influenza (HPAI) both
in wild and domestic birds have continued worldwide. In the Republic of Korea, since the
first confirmation of HPAI (H5N1) in a breeder chicken farm in December 2003, H5N8 and
H5N6 HPAI viruses, as well as H5N1, have been detected for 20 years [1]. According to an
investigation about geographical and environmental factors, outbreak timing, and phylogenetic
characteristics of the isolated viruses, it was found that the causal virus was introduced to
Korea in relation to the migration of birds for wintering [2]. This led the Korean animal health
authority to implement a routine surveillance program for avian influenza, which involves
sample collection from wild birds (feces or capture), monitoring at slaughterhouses, periodic
laboratory tests for breeding farms of chicken and duck, pre-shipment tests (slaughter and
eggs), and periodic inspections on live bird markets. Considering that the HPAI is associated
with H5 and H7 types of Avian Influenza Virus (AIV), these two types of AIV must be dealt
with promptly upon a HPAI outbreak [3]. In the surveillance of wild birds, the H5/H7 AIV
can be detected as early as August and September, and usually from October every year.
From October 2017 to April 2021, the monthly distribution of positive samples was 0.4% in
August, 0.2% in September, 5.6% in October, 14.6% in November, 21.2% in December, 32.8%
in January, 17.3% in February, 7.3% in March, and 0.6% in April. The number of positive
samples sharply increased from November. Meanwhile, the number of winter birds (species
of ducks and geese) were largest in December and January with 430,000 in October, 967,000
in November, 1,113,000 in December, 1,092,000 in January, 858,000 in February, and 220,000
in March in the winter of 2020/2021 [4], although it should be considered that the number of
observations varied across months. This implies the necessity of preemptive risk management
for the influx period of migratory birds in late autumn. Once H5/H7 AIV is detected in wild
birds, the risk of avian influenza is estimated for each poultry farm to which livestock vehicles
visited after passing through within a 3km radius of an AIV detection site from the day before
to the day of laboratory confirmation. The risk was analyzed and communicated to the
national and local animal health authorities for all of 519 H5/H7 AIV detections in 2017/2018
(53%), 2018/2019 (73%), 2019/2020 (24%), and 2020/2021 (369%).
Livestock vehicles can be tracked because all data related to animal health, including
livestock vehicles, livestock facilities, and vehicle movement, are registered in a database
called Korea Animal Health Integrated System (KAHIS) [5]. All business vehicles listed in
the domain of livestock are required by law to be registered to the regional administration
(city/county) office and have a Global Positioning System (GPS) device installed. For livestock
facilities such farms, factories, and slaughterhouses, on the other hand, GPS ranges must be
set [6]. When a vehicle with devices enters the boundary, the vehicles’ device says, “You visit a livestock facility”, then within a few minutes, “A visit record is sent.”
Vehicles are registered in 19 types according to the transported
goods and the driver’s work. As of October 2021, 61,768 vehicles
were registered: animal transporter was the most numerous
with 22,767 (36.86%), followed by 12,058 (19.52%) feed lorries
and 7,165 (11.60%) farm managers. A total of 290,830 livestock
facilities are registered in KAHIS, most of which are farms (279,317,
96.04%). According to the KAHIS records, the numbers of farms are
94,113 for Korean native chicken, 3,487 for broiler chicken, 1,600
for layer chicken, 562 for breeder chicken, 2,079 for broiler duck,
and 139 for breeder duck [5]. Since KAHIS registration duplicates
all livestock species in case one farm keeps multiple species
of livestock, the data are more appropriate for individual farm
management than statistical use.
According to the official statistics of the National Statistical
Office for the third quarter of the year 2021, the number of farms
(heads in thousands) for broiler chicken is 1,514 (83,639), layer
chicken 941 (70,722), broiler duck 400 (6,882), and breeder duck
61 (648). All farms with more than three thousand chickens or two
thousand ducks are censused. The administrative districts of Korea
consist of one special city (Seoul), seven metropolitan cities, and
eight provinces. Considering that metropolitan cities are central
cities of adjacent provinces; metropolitan cities are included in
their adjacent provinces in the statistics in this study. The regions
with the most layer chicken farms were Gyeonggi-do (22.74%)
surrounding Seoul, Gyeongsangbuk-do (16.90%) adjacent to
Busan and Daegu, the second and third largest cities in Korea, and
Chungcheongnam-do (15.09%). In case of broiler chicken, the largest
number of farms is in Jeollabuk-do (22.99%), Chungcheongnam-do
(18.30%), and Gyeonggi-do (16.91%). The regions with the most
duck farms were Jeollanam-do (52.00%), Jeollabuk-do (25.50%),
and Chungcheongbuk-do (9.50%), located in the southwest [7].
Among livestock facilities, hatcheries and slaughterhouses for
chickens are most common in Chungcheongnam-do (22.47% and
18.28%, respectively), and the slaughterhouses for ducks are in
Jeollanam-do (42.31%) and Jeollabuk-do (23.08%). Gyeonggi-do
(21.56% for the northern part and 20.82% for the southern part)
has the largest number of registrations for edible eggs grading and
packing center. To use data for understanding the spread of AIV
related to vehicle movement, records on movement of livestock
vehicles linked to poultry farms were analyzed for a one-year
period from September 2020 to August 2021. The number of GPS
records were 22,183,541 for which visiting chicken farms and
12,579,145 for duck farms. The number of movements of livestock
vehicles was highest in Chungcheongbuk-do (15.65%), followed
by Chungcheongnam-do (13.92%) and Jeollanam-do (13.38%)
for chicken farms. The percentage was 15.15% in Jeollabukdo,
14.61% in Chungcheongnam-do, and 13.20% in southern
Gyeonggi-do for duck farms. As for the movement between
livestock facilities, 87.96% of vehicles visited chicken farms and
88.13% of vehicles visited duck farms within the same region. In
the case of chickens, movement from Jeollanam-do to Jeollabuk-do
was most common, followed by from Jeollabuk-do to Jeollanamdo,
and from Jeollabuk-do to Chungcheongnam-do. The first and
second places in the movement of vehicles visiting duck farms were
the same as chicken farms, but the frequency of vehicle movement
from southern Gyeonggi-do to northern Gyeonggi-do was third.
The most frequent vehicle type visiting poultry farms was animal
transport, followed by feed lorry, egg transport, farm manager, and
livestock manure transport. In ducks, it is different from chickens
that the egg transport is missing from the list of the frequent visit.
Livestock facilities visited most by livestock vehicles entering the
chicken farm were feed factories, edible egg grading and packing
center, slaughterhouses, livestock manure treatment plants. A same
tendency was shown in duck farms, except for lacking of edible
egg grade and packing center visits in the list. Tracking vehicle’s
movement trajectory showed that 82.08% of feed lorry, 86.14% of
livestock transport, 87.60% of egg transport, and 98.80% of farm
manager vehicles moved within the same region. In this study,
records of livestock vehicle movements linking poultry farms
and livestock facilities were analyzed. Acquisition and utilization
of such data are expected to increase gradually with advances in
information and communication technology. The information-based
surveillance system will contribute to preemptively responding to
transboundary animal disease such as HPAI.
This work was conducted with support from the Animal and Plant Quarantine Agency [Research project numbers B-1543068- 2018-19 & Z-1543068-2018-19].
© 2021 Hachung Yoon. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and build upon your work non-commercially.