Christopher Lischer, Martin Eberhardt, Cindy Flamann, Johannes Berges, Esther Güse, Anja Wessely, Adrian Weich, Jimmy Retzlaff, Jan Dörrie, Niels Schaft, Manuel Wiesinger, Johannes März, Beatrice Schuler-Thurner, Harald Knorr, Shailendra Gupta, Krishna Pal Singh, Gerold Schuler, Markus Vincent Heppt, Elias Andreas Thomas Koch, Nadine D van Kleef, Julian J Freen-van Heeren, Annelies W Turksma, Olaf Wolkenhauer, Bettina Hohberger, Carola Berking, Heiko Bruns, Julio Vera
Gene network-based and ensemble modeling-based selection of tumor-associated antigens with a predicted low risk of tissue damage for targeted immunotherapy
Journal for immunotherapy of cancer
study aimed assessing predictors knowledge maternal perinatal deaths surveillance response mpdsr system among health workers morogoro region analytical crosssectional study conducted april 27 may 29 2020 multistage sampling technique used recruit 360 health workers semistructured questionnaire used collect data statistical package social science spss v20 software used data entry analysis bivariate multivariate logistic regression analyses used assess factors associated knowledge mpdsr total 105 292 health workers morogoro region adequate knowledge mpdsr system controlling confounders predictors knowledge mpdsr system level health facility health worker working n hospital adjusted odds ratio aor 2668 95 confidence intervals ci 14974753 p 001 level education health worker diploma aor 0146 95 ci 00380561 p 005 status training mpdsr trained aor 7253 95 ci 386213621 p 001 proportion health workers adequate knowledge mpdsr system morogoro region unacceptably low factors associated adequate knowledge working hospitals higher levels professional training ever training mpdsr costeffective strategy improve level knowledge regarding mpdsr region highly recommended