Silja Saarento, Aaron J Boulton, Christina Salmivalli
Reducing bullying and victimization: student- and classroom-level mechanisms of change
Journal of abnormal child psychology
tuberculosis tb second deadly infectious disease globally posing significant burden brazil amazonian region study focused riverine municipalities hypothesizes presence tb clusters area also aimed train machine learning model differentiate municipalities classified hot spots vs nonhot spots using disease surveillance variables predictors data regarding incidence tb 2019 2022 riverine town collected brazilian health ministry informatics department morans used assess global spatial autocorrelation getisord gi method employed detect high lowincidence clusters random forest machinelearning model trained using surveillance variables related tb cases predict hot spots among nonhot spot municipalities analysis revealed distinct geographical clusters high low tb incidence following westtoeast distribution pattern random forest classification model utilizes six surveillance variables predict hot vs nonhot spots machine learning model achieved area receiver operator curve aucroc 081 municipalities higher percentages recurrent cases deaths due tb antibiotic regimen changes percentage new cases cases smoking history best predictors hot spots prediction method leveraged identify municipalities highest risk hot spots disease aiding policymakers evidencedbased tool direct resource allocation disease control riverine municipalities