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Using EPIWATCH® open-source surveillance to describe the epidemiology of lumpy skin disease outbreaks in South and Southeast Asia (2022-2023).

Danielle HutchinsonB LiSamsung LimH StoneC R MacIntyre
Published in: Australian veterinary journal (2024)
Lumpy skin disease (LSD) poses a significant threat to animal welfare and leads to economic losses in affected countries. LSD outbreaks may also impact trade and regional relationships. South and Southeast Asia, with its dense livestock population and intricate trade networks, are susceptible to LSD outbreaks. Indonesia confirmed its first LSD cases in March 2022, leading to substantial livestock losses by August 2023. Australia, an important player in the global beef industry, faced trade disruptions due to LSD concerns raised by Indonesia and Malaysia, claims that were refuted by Australian authorities. The dispute highlights the need for good surveillance. EPIWATCH®, employing artificial intelligence, provides real-time outbreak signals, and spatial analysis can identify LSD hotspots, leading to timely interventions. This study uses data collected by the EPIWATCH® open-source disease surveillance system at the University of New South Wales in 2022 and 2023 and compares it for timeliness and completeness with data available on the World Animal Health Information System (WAHIS). We found more timely reports of LSD outbreaks in EPIWATCH® compared to WAHIS. In conclusion, open-source surveillance tools like EPIWATCH® can provide timely alerts of disease emergence, such as LSD outbreaks in South and Southeast Asia, which can supplement formal reporting systems.
Keyphrases
  • artificial intelligence
  • public health
  • health information
  • big data
  • machine learning
  • electronic health record
  • emergency department
  • risk factors
  • wound healing