Predicted prevalence of bovine cysticercosis in a rural cow farming area: A case study on GIS based tropical epidemiology.

PREDICTED PREVALENCE OF BOVINE CYSTICERCOSIS IN RURAL COW FARMING AREA: A CASE STUDY ON GIS BASED TROPICAL EPIDEMIOLOGY

Joob B^1*, Yasri R², Abe K³

1. Medical Academic Center, Bangkok Thailand

2. KMT Primary Care Center, Bangkok Thailand

3. Nagoya 1 Medical Center, Nagoya, Japan

Correspondence:

Dr Beuy Joob. Medical Academic Center, Bangkok Thailand

E-mail: beuyjoob@hotmail.com

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