Emanuele Souza Marques, Maria Helena Hasselmann, Gabriela Vasconcellos de Barros Vianna, Eliane de Paula Mendonça, Catarina Machado Azeredo
Association Between Interpersonal Violence With Inadequate Nutritional Status Among Brazilian Adolescents
Journal of interpersonal violence
world health organization 2030 roadmap aims eliminate schistosomiasis public health issue targeting reductions heavy intensity infections previous studies however predominantly used prevalence primary indicator schistosomiasis introduce several machine learning ml algorithms predict infection intensity categories using morbidity prevalence aim assessing elimination schistosomiasis africa outlined obtained morbidity prevalence infection intensity data expanded special project eliminate neglected tropical diseases spans 12 countries subsaharan africa used series ml algorithms predict prevalence infection intensity categories schistosoma haematobium schistosoma mansoni morbidity prevalence several relevant environmental demographic covariates remotesensing sources optimal model high accuracy stability achieved mean absolute error mae 002 root mean square error rmse 005 coefficient determination r2 084 predicting heavyintensity prevalence mansoni mae 002 rmse 004 r2 value 081 haematobium based optimal model found areas surveyed countries achieved target road map 2030 ml algorithms used analysis showed high overall predictive power estimating infection intensity species methods provided lowcost effective approach evaluating disease target africa set road map 2030