Spatial analysis of Highly Pathogenic Avian Influenze A (H5N1) outbreak in Kelantan, Malaysia for the year 2017

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  • October 22, 2021
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Fakhrulisham Razali. Spatial analysis of Highly Pathogenic Avian Influenze A (H5N1) outbreak in Kelantan, Malaysia for the year 2017. 30th Veterinary Association of Malaysia (VAM) Congress. 19th-20th October, 2018. Hilton Hotel, Petaling Jaya, Malaysia.(Abstract of e-Poster Presentation).

 

Fakhrulisham Razali, Sharil Azwan Mohd Zain, Mohammad Masrin Azami, Wan Maryani Wan Hassan, Nor LizaJelani  Department of Veterinary Services, Wisma Tani, Lot 4G1, Precint 4, Federal Government Administrative Center, 62624 Putrajaya Corresponding author: fakhrul@dvs.gov.my  

Asian highly pathogenic avian influenza (HPAI) A (H5N1) virus occurs mainly in birds and is highly contagious among them. HPAI Asian H5N1 is especially deadly for poultry. This study examines the use of Geographical Information System (GIS) and describes the distribution of the location of the positive HPAI outbreak in Kelantan Malaysia as reported to the Department of Veterinary Services (DVS) For the year 2017. A total of 36 positive cases were detected involving 130 dead bird in 6 district of Kelantan. Emergence hot spot analysis was conducted using ArcGIS 10.2 software to show the overview of density and distribution of HPAI cases in Malaysia while time slider is used to visualized over time allowing a better understanding of the spread of the HPAI disease. The mapping approach provides a clear visual description of the distribution of the disease incidence in specific areas. It also could be used in the future for HPAI surveillance because of the ability to provide a baseline pattern of distribution and identifying possible disease clusters in the monitoring process carried out by DVS. Findings from this study could then be used to direct future research into the epidemiology of HPAI and could serve as a starting point for developing more effective control programs in this country.   

Keywords: Avian Influenza, Spatial Statistical Analysis, Geovisualization    

Categories: 2018
Tags: Jurnal/Prosiding/Abstrak
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