Parasitic infections are common in tropical and subtropical regions worldwide, affecting over one-third of the global population. In 2015, they were estimated to result in 96 million disability-adjusted life years. These infections impose significant health, economic, and social burdens globally. Symptoms of parasitic infections can include fever, fatigue, various systemic issues, skin rashes, and, in severe cases, they can be fatal.
To address the challenges posed by these diseases, the World Health Organization (WHO) released a strategic document titled “Ending the Neglect to Attain the Sustainable Development Goals: A Roadmap for Neglected Tropical Diseases 2021-2030” in January 2021. This roadmap aims to strengthen the response to parasitic diseases through shared goals and specific targets, supported by smarter investments.
The success of the global program for eliminating parasitic diseases relies on strong political commitment, effective scientific strategies, sufficient financial support, high levels of public engagement, and advancements in science and technology. Introducing artificial intelligence, nucleic acid tests, and unmanned aerial vehicles into control programs for parasitic diseases can significantly enhance their effectiveness and aid in the progress toward elimination.
AI-powered tools improve the identification of schistosome-transmitting snails and help distinguish them from other snail species. The recombinase-aided amplification assay offers innovative, rapid, simple, and accurate point-of-care testing tools for detecting parasitic infections in hosts. Additionally, UAV-based chemical treatments provide new methods for controlling intermediate host snail populations. These innovative tools can transform traditional parasitic disease control programs and help achieve the targets outlined in the new roadmap.
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2025
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Operation procedures for the Use of Unmanned Aerial Vehicles on application of Oncomelania hupensis control by chemicals in Lake and marshland region
yi yuan1,
Chun-li cao*2,
Wang wang*3
1Hubei Provincial Center for Disease Control and Prevention,
2National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases,
3National Health Commission Key Laboratory of Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory of Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases
A diagnostic laboratory network for parasitological surveillance of schistosomiasis during the elimination stage
Liling Yu1
1Zhejiang Provincial Center for Disease Control and Prevention
Detection of Anisakis species in seafood
Bixian Ni*1,
Xingjun Zhou2
1Jiangsu Institute of Parasitic Diseases,
2Dongtai Municipal Center for Disease Control and Prevention
A PCR-high throughput sequencing based integrated detection for simultaneous detection of 4 zoonotic intestinal parasites from multiple sources
Haiyan Peng*1
1Jiangsu Provincial Center for Disease Control and Prevention