Modelling diagnostics for <i>Echinococcus granulosus</i> surveillance in sheep using Latent Class Analysis: Argentina as a case study.

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作者： Abagael L,Sykes ^[1] ; Edmundo,Larrieu ^[2] ; Thelma Verónica,Poggio ^[3] ; M Graciela,Céspedes ^[4] ; Guillermo B,Mujica ^[5] ; Maria-Gloria,Basáñez ^[6] ; Joaquin M,Prada ^[1]

作者单位： London Centre for Neglected Tropical Disease Research and MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. ^[1] Facultad de Ciencias Veterinarias, Universidad Nacional de La Pampa, General Pico, Argentina. ^[2] Escuela de Veterinaria, Universidad Nacional de Río Negro, Choele Choel, Argentina. ^[3] Instituto de Ciencia y Tecnología César Milstein (CONICET), Buenos Aires, Argentina. ^[4] Instituto Nacional de Enfermedades Infecciosas, Buenos Aires, Argentina. ^[5] Ministerio de Salud, Provincia de Río Negro, Viedma, Argentina. ^[6] Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK. ^[7]

DOI 10.1016/j.onehlt.2021.100359

PMID 34977321

发布时间 2024-04-04

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One health (Amsterdam, Netherlands)

2022年14卷

100359页

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Modelling diagnostics for <i>Echinococcus granulosus</i> surveillance in sheep using Latent Class Analysis: Argentina as a case study.

One health (Amsterdam, Netherlands)

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One health (Amsterdam, Netherlands)

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Modelling diagnostics for <i>Echinococcus granulosus</i> surveillance in sheep using Latent Class Analysis: Argentina as a case study.

One health (Amsterdam, Netherlands)

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One health (Amsterdam, Netherlands)

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