Assessing the capacity of symptom scores to predict COVID-19 positivity in Nigeria: a national derivation and validation cohort study.

ABSTRACT:

Objectives

This study aimed to develop and validate a symptom prediction tool for COVID-19 test positivity in Nigeria.

Design

Predictive modelling study.

Setting

All Nigeria States and the Federal Capital Territory.

Participants

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.

Outcome measures

Weighted statistical and c

SUBMITTER: Elimian KO 

PROVIDER: S-EPMC8421116 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature