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Fig. 3 | BMC Infectious Diseases

Fig. 3

From: Creating symptom-based criteria for diagnostic testing: a case study based on a multivariate analysis of data collected during the first wave of the COVID-19 pandemic in New Zealand

Fig. 3

Multiple Correspondence Analysis plots of 1125 cases, 349 probable cases and 4750 non-cases, showing relationships between symptom variables and disease status in individuals presenting for SARS-CoV-2 PCR testing during the first wave of COVID-19 in New Zealand. A is coloured according to the quality of representation of each symptom variable category (e.g. Cough and No-cough combined), which is the total of the squared cosine (cos2) values measuring the degree of association between variable categories and each axis, whereas B is coloured according to the contribution of each level within variable categories to the definition of the two dimensions (expressed as a %). C, D show the contribution of each of the 15 most important variables to the variation in dimensions 1 and 2. The red dashed line is the expected average value, assuming all contributions were uniform (i.e. the expected value under the null)

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