The overall objective of the Data and Statistics Core is to provide program project researchers with coordinated and sophisticated data acquisition methodologies and data quality management services, expert statistical and methodological support, and archiving of research data to facilitate the conduct of project clinical trials. The specific objectives of the Data and Statistics Core are: Objective 1: To provide sophisticated data acquisition systems and data quality management services to ensure the timeliness, completeness, accuracy, uniformity, and security of collected clinical and research data. Objective 2: To provide expert statistical and methodological support forthe design, monitoring, and evaluation of the program project clinical trials. Objective 3: To ensure the integrity, safety and accessibility of electronic data through systematic on-site and off-site data archiving and implementation of a data sharing plan. This core is critical to the successful implementation of the individual trials and will leverage shared resources, methodologies, and personnel to reduce costs and increase efficiency across the program project. Data and statistical services will be provided by highly functioning data management and statistical support centers located in Tororo and Kampala, Uganda, and San Francisco, US. The core will be led by Dr. Edwin Charlebois, co-director of the UCSF CenterforAIDS Prevention Studies, UCSF CAPS Methods Core for Data Quality and Management and director ofthe Makerere University-University of California, San Francisco (MU-UCSF) Kampala Data Management Center, a NIH-approved clinical trials data management center in Kampala.
; The Data and Statistics Core will provide access to multiple proven models of researh and clinical trial data management and best-practices via its well established data management and statistics centers in the US and Uganda, allowing for reduced costs and increased efficiency through shared resources, methods and staff cross-trained on all program project trials.
|Prahl, Mary; Jagannathan, Prasanna; McIntyre, Tara I et al. (2016) Timing of in utero malaria exposure influences fetal CD4 T cell regulatory versus effector differentiation. Malar J 15:497|
|Jagannathan, Prasanna; Bowen, Katherine; Nankya, Felistas et al. (2016) Effective Antimalarial Chemoprevention in Childhood Enhances the Quality of CD4+ T Cells and Limits Their Production of Immunoregulatory Interleukin 10. J Infect Dis 214:329-38|
|Boivin, Michael J; Sikorskii, Alla; Familiar-Lopez, Itziar et al. (2016) Malaria illness mediated by anaemia lessens cognitive development in younger Ugandan children. Malar J 15:210|
|Kakuru, Abel; Natureeba, Paul; Muhindo, Mary K et al. (2016) Malaria burden in a birth cohort of HIV-exposed uninfected Ugandan infants living in a high malaria transmission setting. Malar J 15:500|
|Achan, Jane; Kakuru, Abel; Ikilezi, Gloria et al. (2016) Growth Recovery Among HIV-infected Children Randomized to Lopinavir/Ritonavir or NNRTI-based Antiretroviral Therapy. Pediatr Infect Dis J 35:1329-1332|
|Kakuru, Abel; Jagannathan, Prasanna; Muhindo, Mary K et al. (2016) Dihydroartemisinin-Piperaquine for the Prevention of Malaria in Pregnancy. N Engl J Med 374:928-39|
|Farrington, Lila A; Jagannathan, Prasanna; McIntyre, Tara I et al. (2016) Frequent Malaria Drives Progressive VÎ´2 T-Cell Loss, Dysfunction, and CD16 Up-regulation During Early Childhood. J Infect Dis 213:1483-90|
|Marquez, Carina; Chamie, Gabriel; Achan, Jane et al. (2016) Tuberculosis Infection in Early Childhood and the Association with HIV-exposure in HIV-uninfected Children in Rural Uganda. Pediatr Infect Dis J 35:524-9|
|Odorizzi, Pamela M; Feeney, Margaret E (2016) Impact of In Utero Exposure to Malaria on Fetal T Cell Immunity. Trends Mol Med 22:877-888|
|Muhindo, Mary K; Kakuru, Abel; Natureeba, Paul et al. (2016) Reductions in malaria in pregnancy and adverse birth outcomes following indoor residual spraying of insecticide in Uganda. Malar J 15:437|
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