4.4 Article

The Mosquito, the Virus, the Climate: An Unforeseen Reunion in 2018

期刊

GEOHEALTH
卷 4, 期 8, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2020GH000253

关键词

dengue; subseasonal forecast; Aedes albopictus; Reunion; outbreak

资金

  1. NOAA [NA18OAR4310339]
  2. ARBOPREVENT project (Swedish Research Council Formas grant) [2018-01754]
  3. ACToday, the first Columbia World Project
  4. Vinnova [2018-01754] Funding Source: Vinnova
  5. Forte [2018-01754] Funding Source: Forte
  6. Formas [2018-01754] Funding Source: Formas

向作者/读者索取更多资源

The 2018 outbreak of dengue in the French overseas department of Reunion was unprecedented in size and spread across the island. This research focuses on the cause of the outbreak, asserting that climate played a large role in the proliferation of theAedes albopictusmosquitoes, which transmitted the disease, and led to the dengue outbreak in early 2018. A stage-structured model was run using observed temperature and rainfall data to simulate the life cycle and abundance of theAe. albopictusmosquito. Further, the model was forced with bias-corrected subseasonal forecasts to determine if the event could have been forecast up to 4 weeks in advance. With unseasonably warm temperatures remaining above 25 degrees C, along with large tropical-cyclone-related rainfall events accumulating 10-15 mm per event, the modeledAe. albopictusmosquito abundance did not decrease during the second half of 2017, contrary to the normal behavior, likely contributing to the large dengue outbreak in early 2018. Although subseasonal forecasts of rainfall for the December-January period in Reunion are skillful up to 4 weeks in advance, the outbreak could only have been forecast 2 weeks in advance, which along with seasonal forecast information could have provided enough time to enhance preparedness measures. Our research demonstrates the potential of using state-of-the-art subseasonal climate forecasts to produce actionable subseasonal dengue predictions. To the best of the authors' knowledge, this is the first time subseasonal forecasts have been used this way.

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