Topic: Research News
Researchers at the US Department of Agriculture's Agricultural Research Service are using predictive models to track the path of New World screwworm. This will help them prepare for and respond quickly to potential outbreaks. The models use advanced tools like artificial intelligence and historical data.
New cases of New World screwworm have recently been found in the United States. To prevent further spread, researchers are using a forward-thinking approach called predictive modeling. This involves analyzing ecological, environmental, and historical information to predict where the screwworm is likely to become established and how it may spread.
The models look at several factors, including habitat use, host preferences, and environmental conditions. They also use advanced tools like artificial intelligence (AI) to interpret this data. Dr. Scott Hutchins, undersecretary for research, education, and economics at the USDA, said:
Implications
Researchers at the US Department of Agriculture's Agricultural Research Service are using predictive models to track the path of New World screwworm. This will help them prepare for and respond quickly to potential outbreaks. The models use advanced tools like artificial intelligence and historical data.
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