TY - JOUR
T1 - Geographic distribution and modeling of ticks in the Republic of Korea and the application of tick models towards understanding the distribution of associated pathogenic agents
AU - St. John, Heidi K.
AU - Masuoka, Penny
AU - Jiang, Ju
AU - Takhampunya, Ratree
AU - Klein, Terry A.
AU - Kim, Heung Chul
AU - Chong, Sung Tae
AU - Song, Jin Won
AU - Kim, Yu Jin
AU - Farris, Christina M.
AU - Richards, Allen L.
N1 - Funding Information:
Funding was provided by the Armed Forces Health Surveillance Division’s Global Emerging Infections Surveillance (GEIS) Branch , ProMIS ID P0032_18_NM_06 (NMRC work unit # A1402) and P0039_18_ME .
Funding Information:
Funding was provided by the Armed Forces Health Surveillance Division's Global Emerging Infections Surveillance (GEIS) Branch, ProMIS ID P0032_18_NM_06 (NMRC work unit # A1402) and P0039_18_ME. The authors thank BG Wendy Harter, COL Derek Cooper, and previous 65th MED BDE Commanders for their support for conducting a comprehensive tick-borne disease program in the ROK. In addition, we thank David Pecor for providing VectorMap collection record and geospatial data. The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of the Department of the Navy, Department of the Army, Department of Defense, the U.S. Government, the Uniformed Services University of the Health Sciences, nor the Henry M. Jackson Foundation for the Advancement of Medicine, Inc. (HJF). Authors, as employees of the U.S. Government (TAK, RT, HCK, STC, CMF, and ALR), conducted the work as part of their official duties. Title 17 U.S.C. ?105 provides that ?Copyright protection under this title is not available for any work of the United States Government.? Title 17 U.S.C. ?101 defines a U.S. Government work is a work prepared by an employee of the U.S. Government as part of the person's official duties.
Publisher Copyright:
© 2021 Elsevier GmbH
PY - 2021/7
Y1 - 2021/7
N2 - Encounters with ticks harboring pathogenic agents have demonstrated increasing public health implications. Tick surveillance in the Republic of Korea (ROK) is essential for determining tick distributions and the potential regions where tick-borne pathogens may be found. Extensive tick collections (tick drags and tick flagging) were previously performed by Force Health Protection & Preventive Medicine (FHP&PM), Medical Activity-Korea (MEDDAC-K)/65th Medical Brigade (MED BDE) personnel, in collaboration with the Public Health Activity-Korea in the ROK. A total of 144,131 ticks were collected from 2,019 locations during 2004 to 2016. The associated location data (GPS coordinates) for each of the collection sites were incorporated into distribution maps using ArcGIS and combined with environmental data in the Maxent ecological niche modeling program (n = 733 geographical unique locations from 1,429 presence records/collection locations) to produce estimates of tick distributions for each species. The predominant tick species found and modeled were, in order of prevalence: Haemaphysalis longicornis, H. flava, Ixodes nipponensis, H. phasiana, I. turdus, Amblyomma testudinarium, H. japonica, and I. persulcatus. Haemaphysalis longicornis, H. flava, and I. nipponensis were the most widely distributed and most commonly collected species of ticks. The maps and models of suitable habitat regions produced in this study provide a better understanding of where there are potential risks of encountering a particular tick species, and which, as demonstrated herein with rickettsiae, can be used to study tick-pathogen dynamics of diseases. Knowledge of the distribution of ticks is important in the ROK because of the presence of tick-borne diseases, such as severe fever with thrombocytopenia syndrome, tick-borne encephalitis, rickettsioses, and borrelioses.
AB - Encounters with ticks harboring pathogenic agents have demonstrated increasing public health implications. Tick surveillance in the Republic of Korea (ROK) is essential for determining tick distributions and the potential regions where tick-borne pathogens may be found. Extensive tick collections (tick drags and tick flagging) were previously performed by Force Health Protection & Preventive Medicine (FHP&PM), Medical Activity-Korea (MEDDAC-K)/65th Medical Brigade (MED BDE) personnel, in collaboration with the Public Health Activity-Korea in the ROK. A total of 144,131 ticks were collected from 2,019 locations during 2004 to 2016. The associated location data (GPS coordinates) for each of the collection sites were incorporated into distribution maps using ArcGIS and combined with environmental data in the Maxent ecological niche modeling program (n = 733 geographical unique locations from 1,429 presence records/collection locations) to produce estimates of tick distributions for each species. The predominant tick species found and modeled were, in order of prevalence: Haemaphysalis longicornis, H. flava, Ixodes nipponensis, H. phasiana, I. turdus, Amblyomma testudinarium, H. japonica, and I. persulcatus. Haemaphysalis longicornis, H. flava, and I. nipponensis were the most widely distributed and most commonly collected species of ticks. The maps and models of suitable habitat regions produced in this study provide a better understanding of where there are potential risks of encountering a particular tick species, and which, as demonstrated herein with rickettsiae, can be used to study tick-pathogen dynamics of diseases. Knowledge of the distribution of ticks is important in the ROK because of the presence of tick-borne diseases, such as severe fever with thrombocytopenia syndrome, tick-borne encephalitis, rickettsioses, and borrelioses.
KW - Ecological niche models
KW - Republic of Korea
KW - Rickettsia
KW - Species distribution
KW - Tick surveillance
KW - Tick-borne diseases
UR - http://www.scopus.com/inward/record.url?scp=85101814349&partnerID=8YFLogxK
U2 - 10.1016/j.ttbdis.2021.101686
DO - 10.1016/j.ttbdis.2021.101686
M3 - Article
C2 - 33667830
AN - SCOPUS:85101814349
SN - 1877-959X
VL - 12
JO - Ticks and Tick-borne Diseases
JF - Ticks and Tick-borne Diseases
IS - 4
M1 - 101686
ER -