Is it possible to offer a clinical decision algorithm in COVID-19 disease in Primary Care?

So far, the data collected in the cases of clinical processes caused by the SARS-CoV-2 (COVID-19) coronavirus in children suggest that they are mild compared to infections in adult patients; However, serious cases such as multisystemic inflammatory syndrome (SIM) have been reported, which requires assessment and emergency action.

In the context of the of the Primary Care pediatrician consultation and coinciding with the beginning of the school year, at a time when the incidence of influenza, RSV infection and other respiratory conditions usually increases, consultations for symptoms that can lead to suspect these infections. Therefore, it is important to reach a diagnosis that allows the most appropriate management of the patient and decreasing the community transmission by taking pertinent measures.

Given that there are no valid scales that offer a score to assess which is the most appropriate action in the event of a suspected COVID-19 infection, we propose the benefits of a clinical decision algorithm that takes into account epidemiological connotations, based on clinical severity to offer the most appropriate clinical care to patients.