Fig 1.
Flowchart of sample selection for derivation and validation of a clinical rule for chikungunya diagnosis.
aRT-PCR: real-time polymerase chain reaction (ZDC Molecular Kit, Fiocruz).
Table 1.
Sociodemographic characteristics of suspected arbovirus cases, Rio de Janeiro, Brazil 2016–2019 (n = 3,214).
Fig 2.
Presence of clinical signs and symptoms according to diagnosis, Rio de Janeiro, Brazil, 2016–2019 (n = 3,214).
OFI: Other febrile illness.
Fig 3.
Odds ratio (OR) of clinical predictors according to chikungunya diagnosis (CHIK) in derivation (sample 1) and validation samples (sample 2).
A. Sample 1 (1,608): OR (95% CI, p−value). B. Sample 2 (1,606): OR (95% CI, p−value).
Table 2.
Odds ratio (OR), β coefficients, and scores of clinical predictors for chikungunya diagnosis in the final multiple binary regression model*, sample 1 (n = 1,608).
Table 3.
Accuracy parameters for chikungunya case definitions by national and international health agencies, validation sample 2 (n = 1,606).