TY - JOUR
T1 - Spatial distribution and risk factors for foot and mouth disease virus in Uganda
T2 - Opportunities for strategic surveillance
AU - Munsey, Anna
AU - Mwiine, Frank Norbert
AU - Ochwo, Sylvester
AU - Velazquez-Salinas, Lauro
AU - Ahmed, Zaheer
AU - Maree, Francois
AU - Rodriguez, Luis L.
AU - Rieder, Elizabeth
AU - Perez, Andres
AU - VanderWaal, Kimberly
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - Foot-and-mouth disease virus (FMDV) has a substantial impact on cattle populations in Uganda, causing short- and long-term production losses and hampering local and international trade. Although FMDV has persisted in Uganda for at least 60 years, its epidemiology there and in other endemic settings remains poorly understood. Here, we utilized a large-scale cross-sectional study of cattle to elucidate the dynamics of FMDV spread in Uganda. Sera samples (n = 14,439) from 211 herds were analyzed for non-structural protein reactivity, an indication of past FMDV exposure. Serological results were used to determine spatial patterns, and a Bayesian multivariable logistic regression mixed model was used to identify risk factors for FMDV infection. Spatial clustering of the disease was evident, with higher risk demonstrated near international borders. Additionally, high cattle density, low annual rainfall, and pastoralism were associated with increased likelihood of FMD seropositivity. These results provide insights into the complex epidemiology of FMDV in Uganda and will help inform refined control strategies in Uganda and other FMDV-endemic settings.
AB - Foot-and-mouth disease virus (FMDV) has a substantial impact on cattle populations in Uganda, causing short- and long-term production losses and hampering local and international trade. Although FMDV has persisted in Uganda for at least 60 years, its epidemiology there and in other endemic settings remains poorly understood. Here, we utilized a large-scale cross-sectional study of cattle to elucidate the dynamics of FMDV spread in Uganda. Sera samples (n = 14,439) from 211 herds were analyzed for non-structural protein reactivity, an indication of past FMDV exposure. Serological results were used to determine spatial patterns, and a Bayesian multivariable logistic regression mixed model was used to identify risk factors for FMDV infection. Spatial clustering of the disease was evident, with higher risk demonstrated near international borders. Additionally, high cattle density, low annual rainfall, and pastoralism were associated with increased likelihood of FMD seropositivity. These results provide insights into the complex epidemiology of FMDV in Uganda and will help inform refined control strategies in Uganda and other FMDV-endemic settings.
KW - Bayesian statistics
KW - Foot and mouth disease
KW - Risk factors
KW - Spatial analysis
KW - Uganda
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U2 - 10.1016/j.prevetmed.2019.104766
DO - 10.1016/j.prevetmed.2019.104766
M3 - Article
C2 - 31541845
AN - SCOPUS:85072259915
SN - 0167-5877
VL - 171
JO - Preventive Veterinary Medicine
JF - Preventive Veterinary Medicine
M1 - 104766
ER -