TY - JOUR
T1 - Seroprevalence and geospatial epidemiology of yaws: Evidence from Ghana
AU - Agbanyo, Abigail
AU - Oppong, Michael Ntiamoah
AU - Tuwor, Ruth Dede
AU - Mintah, Shadrach
AU - Morgan, Victor Yaw
AU - Tettey, Clement
AU - Azabire, Joseph
AU - Yiadom, Owusu Boakye
AU - Laryea, Dennis Odai
AU - Owusu-Ofori, Alex
AU - Amoako, Yaw Ampem
AU - Phillips, Richard Odame
N1 - Publisher Copyright:
Copyright: © 2025 Agbanyo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2025/10/16
Y1 - 2025/10/16
N2 - BACKGROUND: Yaws, a neglected tropical disease caused by Treponema pallidum subsp. pertenue remains a public health challenge in endemic regions. Although the World Health Organization (WHO) has earmarked yaws for eradication by the year 2030, there is a dearth of accurate epidemiological data to facilitate eradication efforts. The WHO recommends the use of seroprevalence surveys and geospatial analysis to guide planned interventions. METHODOLOGY AND FINDINGS: We conducted a cross-sectional study in Wassa Amenfi East and Aowin districts in Ghana, clinically screening 11,505 school children for yaws. Treponemal Rapid Diagnostic Test (RDTs) detected 117 individuals, and the Dual Path Platform (DPP) confirmed 73 cases, giving an overall prevalence of 0.63%; and 3.85% for Aowin district compared to 0.31% for the Wassa Amenfi East district. Prevalence among RDT-tested was 7.79%, (34.54% from Aowin and 4.42% from Wassa Amenfi East) and DPP seroprevalence was 62.39% (Aowin, 70.69% and Wassa Amenfi East, 54.24%). A prevalence rate of 0.02% for latent infection was recorded in Wassa Amenfi East. Spatial analysis employing multiple mapping techniques including spatial autocorrelation analysis (Moran's I), kriging, nearest neighbour analysis, and kernel density estimation using data from the surveyed communities indicated significantly clustered hotspots in Aowin's central and Wassa Amenfi East's southeastern part. Kriging interpolation with barriers and Empirical Bayesian kriging revealed consistent spatial trends in unsurveyed communities in the study area. CONCLUSION: This study found an overall yaws prevalence of 0.63% but with significantly clustered hotspots in some parts of the districts. The findings from this study highlight the importance of serosurveys and geospatial modeling in generating critical data to guide surveillance, education, and mass drug administration (MDA) efforts in endemic regions to support the WHO's goal of eradicating yaws by 2030.
AB - BACKGROUND: Yaws, a neglected tropical disease caused by Treponema pallidum subsp. pertenue remains a public health challenge in endemic regions. Although the World Health Organization (WHO) has earmarked yaws for eradication by the year 2030, there is a dearth of accurate epidemiological data to facilitate eradication efforts. The WHO recommends the use of seroprevalence surveys and geospatial analysis to guide planned interventions. METHODOLOGY AND FINDINGS: We conducted a cross-sectional study in Wassa Amenfi East and Aowin districts in Ghana, clinically screening 11,505 school children for yaws. Treponemal Rapid Diagnostic Test (RDTs) detected 117 individuals, and the Dual Path Platform (DPP) confirmed 73 cases, giving an overall prevalence of 0.63%; and 3.85% for Aowin district compared to 0.31% for the Wassa Amenfi East district. Prevalence among RDT-tested was 7.79%, (34.54% from Aowin and 4.42% from Wassa Amenfi East) and DPP seroprevalence was 62.39% (Aowin, 70.69% and Wassa Amenfi East, 54.24%). A prevalence rate of 0.02% for latent infection was recorded in Wassa Amenfi East. Spatial analysis employing multiple mapping techniques including spatial autocorrelation analysis (Moran's I), kriging, nearest neighbour analysis, and kernel density estimation using data from the surveyed communities indicated significantly clustered hotspots in Aowin's central and Wassa Amenfi East's southeastern part. Kriging interpolation with barriers and Empirical Bayesian kriging revealed consistent spatial trends in unsurveyed communities in the study area. CONCLUSION: This study found an overall yaws prevalence of 0.63% but with significantly clustered hotspots in some parts of the districts. The findings from this study highlight the importance of serosurveys and geospatial modeling in generating critical data to guide surveillance, education, and mass drug administration (MDA) efforts in endemic regions to support the WHO's goal of eradicating yaws by 2030.
U2 - 10.1371/journal.pntd.0013632
DO - 10.1371/journal.pntd.0013632
M3 - Article
C2 - 41100565
AN - SCOPUS:105019819197
SN - 1935-2727
VL - 19
SP - e0013632
JO - PLoS Neglected Tropical Diseases
JF - PLoS Neglected Tropical Diseases
IS - 10
ER -
