Analysis of Risk Areas of Opisthorchis viverrini in Rural Communities by Using SUT-OV-001
Soraya J. Kaewpitoon MD*,**,***, Sudaporn Sawaspol BSc****, Mattika Chaimeerang Phandee MURP****, Wichan Phandee PhD****, Wassana Phanurak PhD****, Ratana Rujirakul MEd*, Parichart Wakkuwattapong PhD*, Likit Matrakool MD***,*****, Taweesak Tongtawee MD***,*****, Sukij Panpimanmas MD***,*****, Fuangfa Benjaoran MD**,***, Niwatchai Namvichaisirikul MD**,***, Darawan Jomkoa BBA*, Apinya Joosiri BSc*, Natthawut Kaewpitoon PhD*,***,******
Affiliation : * Parasitic Disease Research Unit, Suranaree University of Technology, Nakhon Ratchasima, Thailand. ** School of Family Medicine and Community Medicine, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima, Thailand *** Suranaree University of Technology Hospital, Suranaree University of Technology, Nakhon Ratchasima, Thailand **** Geoinformatics Program, Faculty of Science and Technology, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, Thailand ***** School of Surgery, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima, Thailand ****** Faculty of Public Health, Vongchavalitkul University, Vongchavalitkul University, Thailand
Background : Opisthorchis viverrini is still a serious problem in rural areas of Thailand particularly Northeastern and
Northern region. Active surveillance is required to determine the update data for further prevention and control planning.
Objective : To determine the population at risk and analyze the risk areas for O. viverrini in rural communities of Nakhon
Ratchasima province, Thailand.
Material and Method: A cross-sectional survey was conducted between October 2015 and March 2016 at Kang Sanam
Nang district, Nakhon Ratchasima province, Thailand. The population at risk for O. viverrini was screened by SUT-OV-001
with Cronbach’ alpha coefficient, 0.724. O. viverrini infection was examined by using Kato thick smear. The risk areas were
analyzed by using geographic information system.
Results : Three hundred ninety seven people were recruited for this study. The majorities were female (53.15%), age group 41
to 50 years old (35.01%), educated with primary school (59.45%), agriculture (85.64%), and of income of 2,000 baht
(47.36%). The majorities of them were high-risk (49.62%), followed by moderate risk (36.02%), and low-risk (7.3%). Risk
areas were classified as very-high-risk areas, found in Beng Samrong (11.44 km2), followed by Keang Sanam Nang (5.21
km2). High-risk areas were found in Bueng Phalai sub-district (70.16 km2), followed by Bueng Samrong (30.45 km2), and
Non Samran (27.33 km2). O. viverrini infection was 3.02%, and distributed in the moderate risk areas (four cases), high-risk
areas (three cases), low-risk areas (three cases), and very-high-risk areas (two cases).
Conclusion : The present study indicates the population at risk for O. viverrini and risk areas in the rural communities by
using SUT-OV-001 and GIS. These tools are useful to display the risk areas for further prevention and control planning and
monitor.
Keywords : Opisthorchis viverrini, SUT-OV, Geographic Information System, Nakhon Ratchasima, Thailand
