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A unified and flexible modelling framework for the analysis of malaria serology data
Serology data are an increasingly important tool in malaria surveillance, especially in low transmission settings where the estimation of parasite-based indicators is often problematic. Existing methods rely on the use of thresholds to identify seropositive individuals and estimate transmission inte...
Autores principales: | Kyomuhangi, Irene, Giorgi, Emanuele |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161365/ https://www.ncbi.nlm.nih.gov/pubmed/33843523 http://dx.doi.org/10.1017/S0950268821000753 |
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