PREVALENCE AND DETERMINANTS OF BOVINE ANAPLASMOSIS IN SYLHET DISTRICT OF BANGLADESH
Abstract
Bovine anaplasmosis is endemic and occurs in cattle of several areas of Bangladesh including Sylhet. However,
epidemiological parameters of this disease have not been explored extensively. The aim of this study was to
estimate the prevalence and to identify the determinants of bovine anaplasmosis in cattle of Sylhet district by
microscopic examination of Giemsa stained thin blood smears. Blood samples were collected from randomly
selected 409 cattle of 64 cattle farms from 12 upazilas of Sylhet district during an eight-month period starting
from October, 2014 through May, 2015. Animal and farm level information were collected from farmer’s record
books and by interviewing farm owners or managers. Prevalences were calculated as a proportion of infected
cattle/farms in total number of cattle/farms tested. Multivariable logistic regression was used to identify the
determinants of bovine anaplasmosis. Overall animal level prevalence was 22.74%. The highest prevalence was
in Jaintapur (50%) and the lowest in Golapganj (3.70%) upazila. Two species of Anaplasma namely Anaplasma
marginale and Anaplasma centrale were identified in the study area. Anaplasma marginale was the most
prevalent (12.71%) species causing infection in cattle followed by A. centrale (6.60%) and Mixed (3.42%),
respectively. Farm level prevalence was 74.67%. Odd of overall bovine anaplasmosis was higher in local
indigenous cattle than crossbred (Odds Ratio (OR) =1.98). Cattle from nonintensive had higher odd of being
infected with Anaplasma marginale than intensively raised cattle (OR=1.64). Housing system was also a
determinant for overall farm level anaplasmosis. The results of this study indicates that exposure of cattle to
Anaplasma organism is common in Sylhet and findings of this study can be used for planning adoptive
surveillance and control measures for bovine anaplasmosis. However, there is still a need for further
investigations using advanced serological and molecular techniques to explore other epidemiological indices
like host and vector range, spread, spatial and temporal trends etc.