Abstract
Schistosomiasis is serious parasitic disease with an estimated global prevalence of active infections of more than 190 million. Accurate methods for the assessment of schistosomiasis risk are crucial for schistosomiasis prevention and control in China. Traditional approaches to the identification of epidemiological risk factors include pathogen biology, immunology, imaging, and molecular biology techniques. Identification of schistosomiasis risk has been revolutionized by the advent of computer network communication technologies, including 3S, mathematical modeling, big data, and artificial intelligence (AI). In this review, we analyze the development of traditional and new technologies for risk identification of schistosomiasis transmission in China. New technologies allow for the integration of environmental and socio-economic factors for accurate prediction of the risk population and regions. The combination of traditional and new techniques provides a foundation for the development of more effective approaches to accelerate the process of schistosomiasis elimination.
Highlights
Schistosomiasis is one of the 20 neglected tropical diseases listed by the World HealthOrganization
Since 2016, the National Health Administration has organized multiple risk assessments using molecular biology techniques and other means to identify risk factors and at-risk areas, with the acknowledgement that epidemics are likely to rebound once schistosomiasis prevention and control strategies are relaxed [3]. As they advance from transmission control to transmission interruption and even elimination, schistosomiasis prevention and control strategies in China are changing their focus from extensiveness to precision
The results showed that sources of infection and the risk of exogenous O. hupensis spread are increasing [49]
Summary
Schistosomiasis is one of the 20 neglected tropical diseases listed by the World Health. Since 2016, the National Health Administration has organized multiple risk assessments using molecular biology techniques and other means to identify risk factors and at-risk areas, with the acknowledgement that epidemics are likely to rebound once schistosomiasis prevention and control strategies are relaxed [3]. As they advance from transmission control to transmission interruption and even elimination, schistosomiasis prevention and control strategies in China are changing their focus from extensiveness to precision. This study summarizes the application of traditional and novel technologies for risk identification and suggests priorities for technology development
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