Communicable and Non-Communicable Diseases Control Directorate, Federal Ministry of Health, Khartoum 1111, Sudan.
Schistosomiasis Research Laboratory, Zoology Department, Faculty of Science, University of Khartoum, Khartoum 11111, Sudan.
Int J Environ Res Public Health. 2022 Jan 28;19(3):1508. doi: 10.3390/ijerph19031508.
The epidemiology of schistosomiasis transmission varies depending on the circumstances of the surrounding water bodies and human behaviors. We aimed to explore cercarial emergence patterns from snails that are naturally affected by human schistosomiasis and non-human trematodes. In addition, this study aimed to explore how schistosomiasis infection affects snail survival, reproduction, and growth.
We measured the survival rate, fecundity, and size of snails and the cercarial rhythmicity of and . The number of egg masses, eggs per egg mass, and snail deaths were counted for 7 weeks. The survival rate and cumulative hazard were assessed for infected and non-infected snails.
and cercariae peaked at 9:00-11:00 a.m. Infection significantly reduced the survival rate of , which was 35% and 51% for infected and non-infected snails, respectively ( = 0.02), at 7 weeks after infection. The hazard ratio of death for infected snails compared to non-infected snails was 1.65 (95% confidence interval: 1.35-1.99; = 0.01).
An understanding of the dynamics of schistosomiasis transmission will be helpful for formulating schistosomiasis control and elimination strategies. Cercarial rhythmicity can be reflected in health education, and the reproduction and survival rate of infected snails can be used as parameters for developing disease modeling.
血吸虫病传播的流行病学因周围水体和人类行为的情况而异。我们旨在探索受人类血吸虫病和非人类吸虫自然影响的螺类的尾蚴出现模式。此外,本研究旨在探讨血吸虫感染如何影响螺类的生存、繁殖和生长。
我们测量了 和 的存活率、繁殖力和大小,以及 和 的尾蚴节律性。对 7 周内的卵块数量、每卵块中的卵数和螺类死亡数进行了计数。评估了感染和非感染螺类的存活率和累积危害。
和 尾蚴在上午 9:00-11:00 达到峰值。感染显著降低了 的存活率,感染螺类的存活率为 35%,而非感染螺类的存活率为 51%( = 0.02),感染后 7 周。与非感染螺类相比,感染螺类的死亡风险比为 1.65(95%置信区间:1.35-1.99; = 0.01)。
了解血吸虫病传播的动态将有助于制定血吸虫病控制和消除策略。尾蚴节律性可以反映在健康教育中,感染螺类的繁殖率和存活率可以作为开发疾病模型的参数。