| dc.contributor.author | Elimian, Kelly Osezele | |
| dc.contributor.author | Aderinola, Olaolu | |
| dc.contributor.author | Igumbor, Ehimario | |
| dc.date.accessioned | 2021-09-23T10:40:01Z | |
| dc.date.available | 2021-09-23T10:40:01Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Elimian, K. O. et al. (2021). Assessing the capacity of symptom scores to predict COVID-19 positivity in Nigeria: A national derivation and validation cohort study. BMJ Open, 11(9), e049699. https://doi.org/10.1136/bmjopen-2021-049699 | en_US |
| dc.identifier.issn | 2044-6055 | |
| dc.identifier.uri | 10.1136/ bmjopen-2021-049699 | |
| dc.identifier.uri | http://hdl.handle.net/10566/6795 | |
| dc.description.abstract | s This study aimed to develop and validate a
symptom prediction tool for COVID-19 test positivity in
Nigeria.A cohort of 43 221 individuals within the
national COVID-19 surveillance dataset from 27 February
to 27 August 2020. Complete dataset was randomly split
into two equal halves: derivation and validation datasets.
Using the derivation dataset (n=21 477), backward
multivariable logistic regression approach was used to
identify symptoms positively associated with COVID-19
positivity (by real-time PCR) in children (≤17 years),
adults (18–64 years) and elderly (≥65 years) patients
separately. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BMJ Publishing Group | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | Nigeria | en_US |
| dc.subject | Symptom prediction | en_US |
| dc.subject | Public health | en_US |
| dc.subject | COVID-19 infection | en_US |
| dc.title | Assessing the capacity of symptom scores to predict COVID-19 positivity in Nigeria: A national derivation and validation cohort study | en_US |
| dc.type | Article | en_US |
