Parasitology Research ( IF 1.8 ) Pub Date : 2023-12-14 , DOI: 10.1007/s00436-023-08032-w Loida M Recopuerto-Medina 1 , Andrea Bernice M Aguado 1 , Bianca Manuela M Baldonado 1 , Rica Nikki B Bilasano 1 , Sophia Miel L Dullano 1 , Justine Marie R Molo 1 , Nikki Heherson A Dagamac 1, 2
Schistosomiasis remains a major public health concern affecting approximately 12 million people in the Philippines due to inadequate information about the disease and limited prevention and control efforts. Schistosoma japonicum, one of the causative agents of the disease, requires an amphibious snail Oncomelania hupensis quadrasi (O. h. quadrasi) to complete its life cycle. Using the geographical information system (GIS) and maximum entropy (MaxEnt) algorithm, this study aims to predict the potential high-risk habitats of O. h. quadrasi driven by environmental factors in the Philippines. Based on the bioclimatic determinants, a very high-performance model was generated (AUC = 0.907), with the mean temperature of the driest quarter (25.3%) contributing significantly to the prevalence of O. h. quadrasi. Also, the snail vector has a high focal distribution, preferring areas with a pronounced wet season and high precipitation throughout the year. However, the findings provided evidence for snail adaptation to different environmental conditions. High suitability of snail habitats was found in Quezon, Camarines Norte, Camarines Sur, Albay, Sorsogon, Northern Samar, Eastern Samar, Leyte, Bohol, Surigao del Norte, Surigao del Sur, Agusan del Norte, Davao del Norte, North Cotabato, Lanao del Norte, Misamis Occidental, and Zamboanga del Sur. Furthermore, snail habitat establishment includes natural and man-made waterlogged areas, with the progression of global warming and climate change predicted to be drivers of increasing schistosomiasis transmission zones in the country.
中文翻译:
使用 MaxEnt 算法预测菲律宾钉螺媒介 Oncomelania hupensisquadrasi 的潜在全国分布
由于有关该疾病的信息不足以及预防和控制工作有限,血吸虫病仍然是影响菲律宾约 1200 万人的主要公共卫生问题。日本血吸虫是该病的病原体之一,需要两栖蜗牛Oncomelania hupensisquadrasi ( O.h.quadrasi ) 来完成其生命周期。本研究旨在利用地理信息系统(GIS)和最大熵(MaxEnt)算法来预测O. h.的潜在高风险栖息地。菲律宾环境因素驱动的quadrasi 。根据生物气候决定因素,生成了一个非常高性能的模型(AUC = 0.907),最干燥季度的平均温度(25.3%)对O. h. 的流行有显着影响。夸德拉西。此外,蜗牛媒介具有较高的焦点分布,更喜欢全年雨季明显、降水量较多的地区。然而,这些发现为蜗牛适应不同环境条件提供了证据。奎松、北甘马粦、南甘马粦、阿尔拜、索索贡、北萨马、东萨马、莱特、保和、北苏里高、南苏里高、北阿古桑、北达沃、北哥打巴托、拉瑙发现蜗牛栖息地高度适宜北、西米萨米斯和南三宝颜。此外,蜗牛栖息地的建立包括自然和人为的涝渍区,全球变暖和气候变化的进展预计将成为该国血吸虫病传播区增加的驱动因素。