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6th Edition of
World Congress on Aquaculture, Fisheries & Marine Biology

October 8-10, 2026 | Tokyo, Japan

Aquatic Disease Epidemiology

Aquatic Disease Epidemiology

Aquatic disease epidemiology is the study of the occurrence, spread, and control of diseases affecting aquatic species. In aquaculture, it is critical for preventing outbreaks that can devastate fish populations and impact production. Understanding the transmission patterns of pathogens like bacteria, viruses, and parasites allows for the development of effective prevention and control strategies. Epidemiological studies also involve identifying risk factors such as water quality, stocking density, and environmental stressors. By applying epidemiological knowledge, aquaculture systems can implement biosecurity measures, vaccination programs, and better management practices to reduce disease incidence. Disease management in wild fisheries is equally important, especially in areas where species are under threat from emerging diseases.

Committee Members
Speaker at World Congress on Aquaculture, Fisheries & Marine Biology 2026 - Joni Lee Giovanna Hesley

Joni Lee Giovanna Hesley

Emerita CropKing, United States
Speaker at World Congress on Aquaculture, Fisheries & Marine Biology 2026 - Perry Raso

Perry Raso

Matunuck Oyster Farm, United States
Speaker at World Congress on Aquaculture, Fisheries & Marine Biology 2026 - Nguyen Quang Linh

Nguyen Quang Linh

Hue University, Vietnam
WAC 2026 Speakers
Speaker at World Congress on Aquaculture, Fisheries & Marine Biology 2026 - Thomas Coates

Thomas Coates

Animal Research Initiative, United States
Speaker at World Congress on Aquaculture, Fisheries & Marine Biology 2026 - Adam Bell

Adam Bell

Mote Marine Aquaculture, United States
Speaker at World Congress on Aquaculture, Fisheries & Marine Biology 2026 - Zoe Alexander

Zoe Alexander

University of Maine, United States
Speaker at World Congress on Aquaculture, Fisheries & Marine Biology 2026 - Amit Das

Amit Das

Memorial University of Newfoundland, Canada
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