Nareeba, T
11  Ergebnisse:
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1

Machine learning algorithm for identifying the predictors o..:

Nareeba, T. ; Wosu, A. ; Kajungu, D.
International Journal of Infectious Diseases.  101 (2020)  - p. 483 , 2020
 
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Neonatal and child mortality data in retrospective populati..:

Nareeba, Tryphena ; Dzabeng, Francis ; Alam, Nurul...
Nareeba , T , Dzabeng , F , Alam , N , Biks , G A , Thysen , S M , Akuze , J , Blencowe , H , Helleringer , S , Lawn , J E , Mahmud , K , Yitayew , T A , Fisker , A B & and the Every Newborn-INDEPTH Study Collaborative Group 2021 , ' Neonatal and child mortality data in retrospective population-based surveys compared with prospective demographic surveillance : EN-INDEPTH study ' , Population Health Metrics , vol. 19 , no. Suppl 1 , 7 . https://doi.org/10.1186/s12963-020-00232-1.  , 2021
 
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8

Machine learning algorithm for identifying the predictors o..:

T. Nareeba ; A. Wosu ; D. Kajungu
http://www.sciencedirect.com/science/article/pii/S1201971220319780.  , 2020
 
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9

Birth, stillbirth and death registration data completeness,..:

Kasasa, Simon ; Natukwatsa, Davis ; Galiwango, Edward...
Kasasa , S , Natukwatsa , D , Galiwango , E , Nareeba , T , Gyezaho , C , Fisker , A B , Mengistu , M Y , Dzabeng , F , Haider , M M , Yargawa , J , Akuze , J , Baschieri , A , Cappa , C , Jackson , D , Lawn , J E , Blencowe , H , Kajungu , D , the Every Newborn-INDEPTH Study Collaborative Group & Thysen , S M 2021 , ' Birth, stillbirth and death registration data completeness, quality and utility in population-based surveys : EN-INDEPTH study ' , Population Health Metrics , vol. 19 , no. Suppl. 1 , 14 . https://doi.org/10.1186/s12963-020-00231-2.  , 2021
 
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10

Barriers and enablers to reporting pregnancy and adverse pr..:

Kwesiga, Doris ; Tawiah, Charlotte ; Imam, Md Ali...
Kwesiga , D , Tawiah , C , Imam , M A , Tesega , A K , Nareeba , T , Enuameh , Y A K , Biks , G A , Manu , G , Beedle , A , Delwar , N , Fisker , A B , Waiswa , P , Lawn , J E , Blencowe , H & Every Newborn-INDEPTH Study Collaborative Group 2021 , ' Barriers and enablers to reporting pregnancy and adverse pregnancy outcomes in population-based surveys : EN-INDEPTH study ' , Population Health Metrics , vol. 19 , no. Suppl. 1 , 15 . https://doi.org/10.1186/s12963-020-00228-x.  , 2021
 
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11

Stillbirth outcome capture and classification in population..:

Blencowe, Hannah ; Bottecchia, Matteo ; Kwesiga, Doris...
Blencowe , H , Bottecchia , M , Kwesiga , D , Akuze , J , Haider , M M , Galiwango , E , Dzabeng , F , Fisker , A B , Enuameh , Y A K , Geremew , B M , Nareeba , T , Woodd , S , Beedle , A , Peven , K , Cousens , S , Waiswa , P , Lawn , J , the Every Newborn-INDEPTH Study Collaborative Group & Thysen , S M 2021 , ' Stillbirth outcome capture and classification in population-based surveys : EN-INDEPTH study ' , Population Health Metrics , vol. 19 , no. Suppl. 1 , 13 . https://doi.org/10.1186/s12963-020-00239-8.  , 2021
 
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