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AI and citizen photos identify Anopheles stephensi in Madagascar (Level A2) — A snake sitting on top of a tree branch

AI and citizen photos identify Anopheles stephensi in MadagascarCEFR A2

19 Nov 2025

Level A2 – High beginner / Elementary
3 min
142 words

Researchers report that a close-up smartphone photo submitted through NASA’s GLOBE Observer app showed a mosquito larva collected from a tyre in Antananarivo. The image was taken in 2020 and was found two years later when scientists reviewed historical data.

The team led by Ryan Carney trained AI image-recognition tools on thousands of verified photos. Using those tools, they developed a citizen science method that helped confirm the larva as Anopheles stephensi. The World Health Organization warns that this species is a growing threat to malaria control in Africa.

The researchers point to three free apps—iNaturalist, Mosquito Alert and GLOBE Observer—and say people with a smartphone and a 60x clip-on lens can send close-up photos. They also recommend using the Global Mosquito Observations Dashboard, but note that lack of phones, internet and awareness can limit participation.

Difficult words

  • mosquitoA small flying insect that can bite.
  • speciesA group of similar living things.
  • carryTo have and transport something.
  • malariaA disease spread by mosquito bites.
  • photosPictures taken with a camera.
  • monitoringWatching or keeping track of something.
  • controlTo manage or regulate something.

Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.

Discussion questions

  • Why is citizen science important in research?
  • How do you think technology helps in studying wildlife?
  • What are some ways to control mosquito populations?

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