Guzzetta Giorgio, Montarsi Fabrizio, Baldacchino Frédéric Alexandre, Metz Markus, Capelli Gioia, Rizzoli Annapaola, Pugliese Andrea, Rosà Roberto, Poletti Piero, Merler Stefano
Fondazione Bruno Kessler, Trento, Italy.
Laboratory of Parasitology, Istituto Zooprofilattico Sperimentale delle Venezie, Padova, Italy.
PLoS Negl Trop Dis. 2016 Jun 15;10(6):e0004762. doi: 10.1371/journal.pntd.0004762. eCollection 2016 Jun.
The rapid invasion and spread of Aedes albopictus (Skuse, 1894) within new continents and climatic ranges has created favorable conditions for the emergence of tropical arboviral diseases in the invaded areas. We used mosquito abundance data from 2014 collected across ten sites in northern Italy to calibrate a population model for Aedes albopictus and estimate the potential of imported human cases of chikungunya or dengue to generate the condition for their autochthonous transmission in the absence of control interventions. The model captured intra-year seasonality and heterogeneity across sites in mosquito abundance, based on local temperature patterns and the estimated site-specific mosquito habitat suitability. A robust negative correlation was found between the latter and local late spring precipitations, indicating a possible washout effect on larval breeding sites. The model predicts a significant risk of chikungunya outbreaks in most sites if a case is imported between the beginning of summer and up to mid-November, with an average outbreak probability between 4.9% and 25%, depending on the site. A lower risk is predicted for dengue, with an average probability between 4.2% and 10.8% for cases imported between mid-July and mid-September. This study shows the importance of an integrated entomological and medical surveillance for the evaluation of arboviral disease risk, which is a precondition for designing cost-effective vector control programs.
白纹伊蚊(Skuse,1894年)在新的大陆和气候范围内迅速入侵和扩散,为热带虫媒病毒疾病在入侵地区的出现创造了有利条件。我们利用2014年在意大利北部十个地点收集的蚊虫丰度数据,对白纹伊蚊的种群模型进行校准,并估计在没有控制干预措施的情况下,输入性基孔肯雅热或登革热病例引发本地传播的可能性。该模型基于当地温度模式和估计的特定地点蚊虫栖息地适宜性,捕捉了年内季节性以及各地点蚊虫丰度的异质性。研究发现,后者与当地春末降水量之间存在强烈的负相关,这表明可能对幼虫繁殖地产生冲刷效应。该模型预测,如果在夏季开始至11月中旬之间输入一例病例,大多数地点都有基孔肯雅热爆发的重大风险,平均爆发概率在4.9%至25%之间,具体取决于地点。登革热的风险较低,7月中旬至9月中旬之间输入病例的平均概率在4.2%至10.8%之间。这项研究表明,综合昆虫学和医学监测对于评估虫媒病毒疾病风险至关重要,这是设计具有成本效益的病媒控制方案的前提条件。