Laboratório de Mosquitos Transmissores de Hematozoários, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, RJ, Brazil.
Laboratório de Comportamento de Insetos, Instituto Federal do Norte de Minas Gerais, Salinas, MG, Brazil.
Parasit Vectors. 2022 Jan 10;15(1):23. doi: 10.1186/s13071-021-05143-0.
Yellow fever virus (YFV) is an arbovirus that, despite the existence of a safe and effective vaccine, continues to cause outbreaks of varying dimensions in the Americas and Africa. Between 2017 and 2019, Brazil registered un unprecedented sylvatic YFV outbreak whose severity was the result of its spread into zones of the Atlantic Forest with no signals of viral circulation for nearly 80 years.
To investigate the influence of climatic, environmental, and ecological factors governing the dispersion and force of infection of YFV in a naïve area such as the landscape mosaic of Rio de Janeiro (RJ), we combined the analyses of a large set of data including entomological sampling performed before and during the 2017-2019 outbreak, with the geolocation of human and nonhuman primates (NHP) and mosquito infections.
A greater abundance of Haemagogus mosquitoes combined with lower richness and diversity of mosquito fauna increased the probability of finding a YFV-infected mosquito. Furthermore, the analysis of functional traits showed that certain functional groups, composed mainly of Aedini mosquitoes which includes Aedes and Haemagogus mosquitoes, are also more representative in areas where infected mosquitoes were found. Human and NHP infections were more common in two types of landscapes: large and continuous forest, capable of harboring many YFV hosts, and patches of small forest fragments, where environmental imbalance can lead to a greater density of the primary vectors and high human exposure. In both, we show that most human infections (~ 62%) occurred within an 11-km radius of the finding of an infected NHP, which is in line with the flight range of the primary vectors.
Together, our data suggest that entomological data and landscape composition analyses may help to predict areas permissive to yellow fever outbreaks, allowing protective measures to be taken to avoid human cases.
黄热病毒(YFV)是一种虫媒病毒,尽管存在安全有效的疫苗,但它仍继续在美洲和非洲引发不同规模的疫情。2017 年至 2019 年期间,巴西记录了一场前所未有的丛林黄热病疫情,其严重程度是由于该病毒传播到近 80 年来没有病毒传播迹象的大西洋森林地区。
为了研究气候、环境和生态因素对 YFV 在像里约热内卢(RJ)这样的景观马赛克地区的扩散和感染力的影响,我们将大量数据的分析(包括在 2017-2019 年疫情爆发前后进行的昆虫学采样)与人类和非人灵长类动物(NHP)和蚊子感染的地理定位相结合。
疟蚊属蚊子的大量增加,加上蚊子区系丰富度和多样性的降低,增加了发现 YFV 感染蚊子的可能性。此外,功能特征分析表明,某些功能组,主要由包含埃及伊蚊和疟蚊属蚊子的伊蚊组成,在发现感染蚊子的地区也更具代表性。人类和 NHP 的感染在两种类型的景观中更为常见:大型且连续的森林,能够容纳许多 YFV 宿主,以及小块的森林碎片,这些地方的环境失衡可能导致主要媒介的密度增加和人类暴露增加。在这两种情况下,我们发现大多数人类感染(约 62%)发生在发现感染 NHP 的 11 公里半径范围内,这与主要媒介的飞行范围一致。
总之,我们的数据表明,昆虫学数据和景观组成分析可能有助于预测允许黄热病爆发的地区,以便采取保护措施避免人类感染。