Centro de Investigación en Salud para el Trópico (CIST), Universidad Cooperativa de Colombia, Santa Marta, Colombia.
Politécnico Colombiano Jaime Isaza Cadavid, Medellín, Antioquia, Colombia.
PLoS One. 2020 Nov 4;15(11):e0241710. doi: 10.1371/journal.pone.0241710. eCollection 2020.
Ecoepidemiological scenarios for Chagas disease transmission are complex, so vector control measures to decrease human-vector contact and prevent infection transmission are difficult to implement in all geographic contexts. This study assessed the geographic abundance patterns of two vector species of Chagas disease: Triatoma maculata (Erichson, 1848) and Rhodnius pallescens (Barber, 1932) in Latin America. We modeled their potential distribution using the maximum entropy algorithm implemented in Maxent and calculated distances to their niche centroid by fitting a minimum-volume ellipsoid. In addition, to determine which method would accurately explain geographic abundance patterns, we compared the correlation between population abundance and the distance to the ecological niche centroid (DNC) and between population abundance and Maxent environmental suitability. The potential distribution estimated for T. maculata showed that environmental suitability covers a large area, from Panama to Northern Brazil. R. pallescens showed a more restricted potential distribution, with environmental suitability covering mostly the coastal zone of Costa Rica and some areas in Nicaragua, Honduras, Belize and the Yucatán Peninsula in Mexico, northern Colombia, Acre, and Rondônia states in Brazil, as well as a small region of the western Brazilian Amazon. We found a negative slope in the relationship between population abundance and the DNC in both species. R. pallecens has a more extensive potential latitudinal range than previously reported, and the distribution model for T. maculata corroborates previous studies. In addition, population abundance increases according to the niche centroid proximity, indicating that population abundance is limited by the set of scenopoetic variables at coarser scales (non-interactive variables) used to determine the ecological niche. These findings might be used by public health agencies in Latin America to implement actions and support programs for disease prevention and vector control, identifying areas in which to expand entomological surveillance and maintain chemical control, in order to decrease human-vector contact.
克氏锥虫病的生态流行病学情景复杂,因此在所有地理环境中,减少人与媒介接触和预防感染传播的媒介控制措施都难以实施。本研究评估了拉丁美洲两种克氏锥虫病媒介物种的地理丰度模式:T. maculata (Erichson, 1848) 和 R. pallescens (Barber, 1932)。我们使用最大熵算法在 Maxent 中对它们的潜在分布进行建模,并通过拟合最小体积椭圆来计算与其生态位质心的距离。此外,为了确定哪种方法能更准确地解释地理丰度模式,我们比较了种群丰度与生态位质心距离 (DNC) 之间的相关性以及种群丰度与 Maxent 环境适宜度之间的相关性。估计的 T. maculata 潜在分布表明,环境适宜度覆盖了从巴拿马到巴西北部的大片地区。R. pallescens 的潜在分布较为局限,环境适宜度主要覆盖哥斯达黎加沿海地区以及尼加拉瓜、洪都拉斯、伯利兹和墨西哥尤卡坦半岛、哥伦比亚北部、阿克里州和朗多尼亚州的一些地区,以及巴西西部亚马逊地区的一个小区域。我们发现两种物种的种群丰度与 DNC 之间存在负斜率关系。R. pallecens 的潜在纬度范围比以前报道的要广泛,T. maculata 的分布模型也证实了以前的研究。此外,种群丰度随着生态位质心的接近而增加,这表明种群丰度受到更粗尺度(非交互变量)上的情景变量集的限制,这些变量用于确定生态位。这些发现可被拉丁美洲的公共卫生机构用于实施疾病预防和媒介控制行动和支持计划,确定需要扩大昆虫学监测和维持化学控制的区域,以减少人与媒介的接触。