TY - JOUR
T1 - Opisthorchis viverrini and Strongyloides stercoralis mono- and co-infections
T2 - Bayesian geostatistical analysis in an endemic area, Thailand
AU - Suwannatrai, Apiporn T.
AU - Thinkhamrop, Kavin
AU - Suwannatrai, Kulwadee
AU - Pratumchart, Khanittha
AU - Wangdi, Kinley
AU - Kelly, Matthew
AU - Restrepo, Angela M.Cadavid
AU - Gray, Darren J.
AU - Clements, Archie C.A.
AU - Tangkawattana, Sirikachorn
AU - Sripa, Banchob
N1 - Publisher Copyright:
© 2021
PY - 2021/11
Y1 - 2021/11
N2 - Parasitic infections caused by Opisthorchis viverrini and Strongyloides stercoralis remain a major public health threat in the Greater Mekong Sub-region. An understanding of climate and other environmental influences on the geographical distribution and emergence of parasitic diseases is a crucial step to guide targeted control and prevention programs. A parasitological survey was conducted from 2008 to 2013 and included 12,554 individuals (age between 20 and 60 years) from 142 villages in five districts in Khon Kaen Province, Thailand. Geographical information systems, remote sensing technologies and a Bayesian geostatistical framework were used to develop models for O. viverrini and S. stercoralis mono- and co-infections in areas where both parasites are known to co-occur. The results indicate that male sex, increased age, altitude, precipitation, and land surface temperature have influenced the infection rate and geographical distribution of mono- and co-infections of O. viverrini and S. stercoralis in this area. Males were 6.69 times (95% CrI: 5.26–8.58) more likely to have O. viverrini - S. stercoralis co-infection. We observed that O. viverrini and S. stercoralis mono-infections display distinct spatial pattern, while co-infection is predicted in the center and southeast of the study area. The observed spatial clustering of O. viverrini and S. stercoralis provides valuable information for the spatial targeting of prevention interventions in this area.
AB - Parasitic infections caused by Opisthorchis viverrini and Strongyloides stercoralis remain a major public health threat in the Greater Mekong Sub-region. An understanding of climate and other environmental influences on the geographical distribution and emergence of parasitic diseases is a crucial step to guide targeted control and prevention programs. A parasitological survey was conducted from 2008 to 2013 and included 12,554 individuals (age between 20 and 60 years) from 142 villages in five districts in Khon Kaen Province, Thailand. Geographical information systems, remote sensing technologies and a Bayesian geostatistical framework were used to develop models for O. viverrini and S. stercoralis mono- and co-infections in areas where both parasites are known to co-occur. The results indicate that male sex, increased age, altitude, precipitation, and land surface temperature have influenced the infection rate and geographical distribution of mono- and co-infections of O. viverrini and S. stercoralis in this area. Males were 6.69 times (95% CrI: 5.26–8.58) more likely to have O. viverrini - S. stercoralis co-infection. We observed that O. viverrini and S. stercoralis mono-infections display distinct spatial pattern, while co-infection is predicted in the center and southeast of the study area. The observed spatial clustering of O. viverrini and S. stercoralis provides valuable information for the spatial targeting of prevention interventions in this area.
KW - Bayesian model-based geostatistics
KW - Co-infection
KW - Mono-infection
KW - Opisthorchis viverrini
KW - Strongyloides stercoralis
UR - http://www.scopus.com/inward/record.url?scp=85112484527&partnerID=8YFLogxK
U2 - 10.1016/j.actatropica.2021.106079
DO - 10.1016/j.actatropica.2021.106079
M3 - Article
SN - 0001-706X
VL - 223
JO - Acta Tropica
JF - Acta Tropica
M1 - 106079
ER -