Machine studying, satellite tv for pc imagery to trace the motion of pathogenic mosquitoes – Know-how Information, Firstpost

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Researchers have now used the machine learning approach to track down disease-causing mosquitoes. According to a publication At Utah State University, a team studied landscape connectivity in the female Aedes aegypti mosquito, a major vector for the spread of dengue, chikungunya, and zika. Even if people don’t like mosquitoes, they say they like people. Study biologist and co-author Norah Saarman said of the results that the Aedes aegypti is an invasive species in North America that has spread throughout the United States. While the mosquito has been a disturbing species in the United States for centuries, it is native to Africa, and it was probably brought into the new world on ships used for exploration and colonization.

The researcher stated that they are studying the species’ genetic connectivity as it adapts to new landscapes and expands its range. Saarman added that the approach uses a random forest algorithm that allows them to overcome the limitations of classical spatial models while combining the advantages of machine learning and interactive optimization so that researchers can integrate genetic and environmental data.

Representative picture. Credit: Unsplash

The study’s authors claim that the mosquito in its native Africa was a forest dweller who obtained food from places that were barely populated by humans. However, since then it has specialized in human-feeding and thriving in human-affected areas.

The machine learning model and satellite imagery provided by NASA helped them combine spatial data with genetic data to drill down into the mosquito’s specific movement, Sarmaan said. The mosquitoes are attracted to human transportation networks, she added, indicating that activities like tree nurseries are inadvertently transporting insects to new areas.

Sarmaan added that they are confident that the tools they have developed can help identify effective methods to keep mosquito populations small enough to prevent disease transmission.

The results of the study were published in the February 22nd issue of the Procedure of the National Academy of Sciences.

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