Predicting immunity
نویسندگان
چکیده
منابع مشابه
The SIR Epidemiology Model in Predicting Herd Immunity
Abstract. The Simple Epidemic Model uses three states to describe the spread of an infection: the susceptible (S), the infected (I), and the recovered (R). This model follows the trend of an infection over time and can predict whether an infection will spread. Using this model, epidemiologists may calculate the percentage of the population that needs to be vaccinated in order to provide a popul...
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The global outbreak of coronavirus disease-2019 (COVID-19) has affected most countries in the world. Our knowledge of diagnostic tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is evolving, and it is important to have a clear understanding of the nature of the tests and the interpretation of their findings. In this paper, the purpose is to interpret the results of two typ...
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Deficiences imunitaire acquises Les , deficits nnmumtaires pathologiques af systeme des phagocytes, l'immunite a mechation_ cellulare :t la synthese des im Illfnoglobulmes so1t separement, soit conJom temen t. La manifestation .clinique de ces deficits est la ,frequence _des mfections bacterielles, virales et mycotiques. Le triteJent s deficits immunitaire a part la therap1e antnnfectieu...
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BACKGROUND The objective was to develop a novel algorithm that can predict, based on field survey data, the minimum vaccination coverage required to reduce the mean number of infections per infectious individual to less than one (the Outbreak Response Immunization Threshold or ORIT) from up to six days in the advance. METHODOLOGY/PRINCIPAL FINDINGS First, the relationship between the rate of ...
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ژورنال
عنوان ژورنال: Nature Reviews Immunology
سال: 2009
ISSN: 1474-1733,1474-1741
DOI: 10.1038/nri2478