Monitoring Viral Infections in Severe Acute Respiratory Syndrome Patients in Brazil

We introduce a novel methodology for estimating the distribution of viruses in Severe Acute Respiratory Syndrome (SARS) patients in Brazil, addressing significant challenges for data in that country, such as data delays and the absence of negative test results. By employing a probabilistic classifier, our approach offers precise, adaptable estimates across various demographic characteristics and regions of the country without the need for predefined groups. Comparative analyses demonstrate the effectiveness of the model. This methodology significantly contributes to public health by enhancing disease monitoring and supporting targeted prevention strategies.