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Latent class analysis to evaluate performance of point-of-care CCA for low-intensity Schistosoma mansoni infections in Burundi.

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第一作者： Michelle N,Clements

第一单位： Schistosomiasis Control Initiative (SCI), Department of Infectious Disease Epidemiology, Imperial College London, London, UK. michelle.clements@imperial.ac.uk.

作者： Michelle N,Clements ^[1] ; Paul L A M,Corstjens ^[2] ; Sue,Binder ^[3] ; Carl H,Campbell ^[3] ; Claudia J,de Dood ^[2] ; Alan,Fenwick ^[4] ; Wendy,Harrison ^[4] ; Donatien,Kayugi ^[5] ; Charles H,King ^[6] ; Dieuwke,Kornelis ^[2] ; Onesime,Ndayishimiye ^[5] ; Giuseppina,Ortu ^[4] ; Mariama Sani,Lamine ^[4] ; Antonio,Zivieri ^[4] ; Daniel G,Colley ^[3] ; Govert J,van Dam ^[2]

作者单位： Schistosomiasis Control Initiative (SCI), Department of Infectious Disease Epidemiology, Imperial College London, London, UK. michelle.clements@imperial.ac.uk. ^[1] Department of Molecular Cell Biology, Leiden University Medical Center, Leiden, the Netherlands. ^[2] Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA. ^[3] Schistosomiasis Control Initiative (SCI), Department of Infectious Disease Epidemiology, Imperial College London, London, UK. ^[4] Programme National Intégré de lutte contre les Maladies Tropicales Négligées et la Cécité (PNIMTNC), Ministère de la Santé Publique et de la Lutte contre le SIDA, Bujumbura, Burundi. ^[5] Center for Global Health and Diseases, Case Western Reserve University School of Medicine, Cleveland, OH, USA. ^[6]

关键词 CAA CCA Diagnostics Kato-Katz Latent class analysis Schistosomiasis