DiSera Laurel, Sjödin Henrik, Rocklöv Joacim, Tozan Yesim, Súdre Bertrand, Zeller Herve, Muñoz Ángel G
International Research Institute for Climate and Society, The Earth Institute Columbia University New York NY USA.
Section of Sustainable Health, Department of Public Health and Clinical Medicine Umeå University Umeå Sweden.
Geohealth. 2020 Aug 1;4(8):e2020GH000253. doi: 10.1029/2020GH000253. eCollection 2020 Aug.
The 2018 outbreak of dengue in the French overseas department of Réunion 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 the mosquitoes, 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 the mosquito. 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°C, along with large tropical-cyclone-related rainfall events accumulating 10-15 mm per event, the modeled mosquito 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 Réunion 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.
2018年,法国海外省留尼汪岛爆发登革热疫情,其规模空前,疫情蔓延至全岛。本研究聚焦疫情爆发原因,认为气候在传播该疾病的蚊子繁殖过程中起了很大作用,进而导致2018年初登革热疫情爆发。利用观测到的温度和降雨数据运行了一个阶段结构模型,以模拟蚊子的生命周期和数量。此外,该模型采用偏差校正后的次季节预报进行驱动,以确定该事件是否能够提前4周进行预报。由于异常温暖的气温持续高于25°C,再加上与热带气旋相关的大量降雨事件,每次降雨累积达10 - 15毫米,与正常情况相反,2017年下半年模拟的蚊子数量并未减少,这可能是导致2018年初登革热大爆发的原因。尽管留尼汪岛12月至1月期间的降雨次季节预报在提前4周内具有一定技巧性,但此次疫情只能提前2周进行预报,而结合季节预报信息本可提供足够时间加强防范措施。我们的研究证明了利用最先进的次季节气候预报做出可采取行动的次季节登革热预测的潜力。据作者所知,这是首次以这种方式使用次季节预报。