Joob B, Yasri R, Abe K. Predicted prevalence of bovine cysticercosis in a rural cow
farming area: A case study on GIS based tropical epidemiology. Case Study Case Rep.
2018; 8(2): 35 - 39.
ABSTRACT
Taeniasis is an important cestode infection seen in many tropical countries. The infection
in pig and cow is common and the infected meat from those animals is considered not
safe for ingestion and this problem is seen in many poor developing countries. In this
report, the authors report the use of Geographic information System (GIS) technology for
prediction of bovine cystercosis in a rural area of Thailand in the northeastern region
namely Nakornratchasrima province where there are many cow farms. The protocol for
GIS prediction is the same as previously used in GIS studies on other tropical infections.
First, the data on cow density and prevalence of bovine cysticercosis based on meat
inspection from local Provincial Livestock Office and Public Health Office in
Nakornratchasrima province were collected and these data were further used for further
finding for a mathematical modeling for prediction of prevalence of bovine cysticercosis
in this province. From assessment the relationship between prevalence of bovine
cysticercosis derived from direct meat inspection and the density of cow population on
each corresponding section within the province. According to this study, the final
mathematic equation is Y = 5.2 *10-5 X + 4.04 where Y is the predicted prevalence (%)
of bovine cysticercosis and X is the number of cow population. This equation is further
used for creation of a specific map to represent the predicted prevalence of bovine
cysticercosis (Figure 1). This data is an important local data on the problem of bovine
cysticercosis in this area and reflects the requirement for strict food safety management.
This technique can also be used for further development of model on cysticercosis in
other regions.
Keywords: Cysticercosis, tropical, bovine, GIS
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