Disease assessment and antimicrobial prescription patterns by analyzing web-based data set in Sonali Chicken cases at Bogura, Bangladesh in 2020-2021
Date
2023-03
Authors
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Chattogram Veterinary & Animal Sciences University, Khulshi,Chattogram
Abstract
Bangladesh's poultry sector is crucial for economic development and nutrition demand
fulfillment. Among all poultry species, Sonali chicken production is becoming popular due
to its similar appearance and flavor to the local indigenous chickens. However, prevalent
diseases and recurring outbreaks of several prevalent diseases and recurring outbreaks of
infectious diseases hampered average poultry growth. The persistence of diseases is related
to different management and environmental factors. To reduce disease load, irrational and
inappropriate use of antimicrobials is commonly prescribed, contributing to the
development of antimicrobial resistance (AMR). The current study investigated to map
diseases and associated drivers, as well as evaluate antibiotic prescription patterns against
diseases in Sonali chickens in Bogura district, by analyzing data stored on the newly
developed website (bdvets.com). A total of 1690 drug prescriptions for diseases and
disease conditions in Sonali chickens in Bogura during 2020–2021 were extracted from the
e-prescription database of 3769 poultry cases for the present study. Data extracts were
entered into MS Excel and cleaned and sorted before exporting to STATA/SE-13 for
epidemiological analysis. The present study identified more cases in the center sub-districts
of Bogura (40.3 %, n=681) than in other sub-districts the year 2020 (69.2 %, 1170) than in
2021 and during the summer (45.3%, 530 in 2020 and 39.2%, 204 in 2021) and winter
(24.8%, 290 in 2020 and 33.1%, 172 in 2021) than autumn and rainy seasons. The study
explored 24 distinct poultry diseases and conditions in single or concurrent cases. The
proportion of cases were dominated by mixed diseases of viral, bacterial, and other
infectious cases (28 %, 474), followed by viral diseases (17.5 %, 296), bacterial diseases
(4.5 %, 76), and protozoan diseases (4.0 %, 67). The predominant single cases were
necrotic enteritis, salmonellosis, colibacillosis, Newcastle disease (ND), Infectious Bursal
Disease (IBD), Infectious Laryngotracheitis (ILT), Low Pathogenic Avian Influenza
(LPAI) and coccidiosis. The occurrence of ND increased significantly during the rainy
season (Odds Ratio: 2.1) and in the year 2021 (Odds Ratio: 2.4). Antibiotics were widely
prescribed regardless of case type (84.4–97% of cases). The highest proportion of
antimicrobials was used in protozoan cases (97 %, 65), followed by viral alone (92%, 273),
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mixed (91.7%, 435), and bacterial alone (90.8%, 69). Single antibiotics (61.3%, 980) were
prescribed widely, followed by combined (14%, 224) and double (2.4%, 39). Tylvalosin
(42%, 669) was more commonly prescribed for almost all disease types. Different
fluoroquinolones and florfenicol were prescribed predominantly for bacterial cases (16%,
11). Colistin combined (3.4%, 55) was also prescribed. Moreover, antiviral drugs were
prescribed for 33.5% of viral cases. Immuno-stimulant was prescribed for 18% of viral and
bacterial cases.
The findings of the current investigation through a web-based data recording system
provided baseline evidence about prescribers' perceptions of using antibiotics against
different diseases. They offered insights into designing interventions in the DLS existing
data recording system (BAHIS) and policies for using antimicrobials in Bangladesh.
Description
Keywords
Antimicrobial Pattern, Disease Status, Recording System, Risk Factors, Sonali Chicken, Web-based Data
