1Programa de Pós-Graduação em Ecologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
2Hospital de Clínicas de Porto Alegre, Serviço de Genética Médica, Porto Alegre, Brazil.
Am J Trop Med Hyg. 2020 Jul;103(1):445-454. doi: 10.4269/ajtmh.19-0366. Epub 2020 May 7.
The mosquito inhabits most tropical and subtropical regions of the globe, where it transmits arboviral diseases of substantial public health relevance, such as dengue fever. In subtropical regions, often presents an annual abundance cycle driven by weather conditions. Because different population states may show varying responses to control, we are interested in studying what time of the year is most appropriate for control. To do so, we developed two dynamic site-occupancy models based on more than 200 weeks of mosquito trapping data from nearly 900 sites in a subtropical Brazilian city. Our phenomenological, Markovian models, fitted to data in a Bayesian framework, accounted for failure to detect mosquitoes in two alternative ways and for temporal variation in dynamic rates of local extinction and colonization of new sites. Infestation varied from nearly full cover of the city area in late summer, to between 10% and 67% of sites occupied in winter depending on the model. Sensitivity analysis reveals that changes in dynamic rates should have the greatest impact on site occupancy during autumn and early winter months, when the mosquito population is declining. We discuss the implications of this finding to the timing of mosquito control.
蚊子栖息在全球大多数热带和亚热带地区,在这些地区传播着具有重大公共卫生相关性的虫媒病毒病,如登革热。在亚热带地区,蚊子的丰度通常呈现出受天气条件驱动的年度变化周期。由于不同的种群状态可能对控制措施有不同的反应,我们有兴趣研究一年中最适合控制的时间。为此,我们开发了两个基于热带巴西城市近 900 个地点 200 多周的蚊子诱捕数据的动态站点占有率模型。我们的现象学、马尔可夫模型,在贝叶斯框架下拟合数据,以两种替代方式解释了蚊子未被检测到的情况,并解释了新地点的局部灭绝和定居动态速率的时间变化。根据模型的不同,蚊子的侵扰程度从夏末接近全城覆盖到冬季 10%到 67%的地点被占据不等。敏感性分析表明,动态速率的变化应该对秋季和初冬几个月的蚊子栖息地占有率产生最大影响,因为此时蚊子数量正在下降。我们讨论了这一发现对蚊子控制时机的影响。