1.
Logistic regression representing the associations between the characteristics of participants and test for SARS-COV-2 among people without having contact with someone tested positi...
2.
Overview of the procedure followed to reduce class imbalance (equalization strategy).
Logistic regression representing the associations between the characteristics of participants and test outcome for SARS-COV-2 infection.
Baseline characteristics of participants stratified into SARS-COV-2 positive and negative.
Overall performance of machine learning algorithms by AUCs for the 8 subsets.
Proportion of predicted values averaged for 4 subsets.
S1 Dataset -
3.
4.
5.
Consultation rates and chlamydia odds ratios from multivariable analysis by ethnicity.
Demographic characteristics of 23,841 clients visiting an STI clinic in the eastern part of the Netherlands in 2011–2013 and consultation rates per 1000 person years by ethnicity....
Chlamydia positivity and determinants of chlamydia positivity in 26,590 consultations at STI clinics in the eastern part of the Netherlands, 2011–2013.