11 to 20 of 349 Results
May 13, 2025 - Clinical Research
Tigoi, Caroline; Ngao,Narshion; Kahindi, Eunice, 2025, "Data for Neonatal Bacteraemia at level 4 county Hospitals in Kenya (NeoBAC)", https://doi.org/10.7910/DVN/5MYMR3, Harvard Dataverse, V1, UNF:6:Xey29dft1yXeGILF2vY4eg== [fileUNF]
The NeoBAC study aimed to investigate how often bacterial blood stream infections occur in newborns, which bacteria cause them, and whether they are resistant to particular antibiotics. As part of routine clinical care, all newborn babies had a blood sample taken for culture to see if any bacteria could be grown. After the sample was taken, the bab... |
May 8, 2025 - Biosciences Dataverse
Okoko, Miguel; Karisa, Jonathan; Gona, Rehema; Odongo, Tobias; Otieno, Bruno; Yaa, Festus; Meli, Peter; Ondieki, Zedekiah; Tuwei, Mercy; Bartilol, Brian; Shee, Faiz; Chaccour,Carlos; Wanjiku, Caroline; Kiuru, Caroline; Maia, Marta F., 2025, "Replication Data for: Phenotypic and genotypic insecticide resistance profiles of main malaria vectors in Kwale county, Kenya", https://doi.org/10.7910/DVN/ZJNGZR, Harvard Dataverse, V3, UNF:6:mvCQj64WTTmzp/zEz4vwDA== [fileUNF]
This is a replication dataset for the manuscript titled: "Phenotypic and genotypic insecticide resistance profiles of main malaria vectors in Kwale county, Kenya". Long-lasting insecticide-treated nets are the primary malaria vector control measure in coastal Kenya. In 2018, phenotypic resistance to pyrethroids and low frequency of L1014S kdr mutat... |
May 6, 2025 - Biosciences Dataverse
Mwangi, Shaban; Gomes, Claudia; Abdi, Abdirahman, 2025, "Replication Data for: Specific Biomarkers Differentiate Cerebral Malaria from Other Causes of Coma in African children", https://doi.org/10.7910/DVN/7IKHOR, Harvard Dataverse, V1, UNF:6:KLAMdC6vofVKSpF4BYxeAA== [fileUNF]
This is a replication dataset for the manuscript titled: "Specific Biomarkers Differentiate Cerebral Malaria from Other Causes of Coma in African children" The dataset file contains study participants' clinical characteristics and measurements as well as measured/quantified ELISA analytes. |
May 6, 2025 - Health Economics Research Unit (HERU) Dataverse
Mugenya, Irene; Mbogori, Maurice Murugu; Oluoch, Dorothy; Amboko, Beatrice; Kosgei, Rose J.; Karimi, Janette; Nzinga, Jacinta, 2025, "Building the Evidence Base for Health System Transformation Through Designing and Testing of Future Health System Models and Measure: PNC Data", https://doi.org/10.7910/DVN/2P8DPM, Harvard Dataverse, V1, UNF:6:NZp9At7rhRTvhWYDWOU7Ow== [fileUNF]
Quality postnatal care (PNC) is crucial for safeguarding the health of both the mother and her newborn through effective screening, timely identification of complications, and adequate education on self-care and infant care. Timely interventions during this period have been shown to improve maternal and neonatal outcomes. However, evidence indicate... |
May 2, 2025 - Human Genetic Factors (HGF) Group
Williams, Tom, 2025, "SPIRIT 2013 Checklist: Hydroxyurea - Pragmatic Reduction In Mortality and Economic burden (H-PRIME): A 2x2x2 factorial randomised open-label trial investigating practical approaches to the treatment of sickle cell disease at four sites in Eastern Uganda: ISRCTN 15724013", https://doi.org/10.7910/DVN/QUGG6P, Harvard Dataverse, V3
Package includes a SPIRIT checklist and Trial assessment schedule. Trial Registration Number: ISRCTN 15724013 |
May 2, 2025 - Human Genetic Factors (HGF) Group
Williams, Tom, 2025, "Extended Data for: Hydroxyurea - Pragmatic Reduction In Mortality and Economic burden (H-PRIME): A 2x2x2 factorial randomised open-label trial investigating practical approaches to the treatment of sickle cell disease at four sites in Eastern Uganda: ISRCTN 15724013", https://doi.org/10.7910/DVN/DKR3LX, Harvard Dataverse, V1
The package contains extended data for the protocol titled "Hydroxyurea - Pragmatic Reduction In Mortality and Economic burden (H-PRIME): A 2x2x2 factorial randomised open-label trial investigating practical approaches to the treatment of sickle cell disease at four sites in Eastern Uganda: ISRCTN 15724013" |
Apr 29, 2025 - Clinical Research
Maitland, Kathryn, 2025, "Gastroenteritis: Rehydration of children with Severe Acute Malnutrition (GASTROSAM)", https://doi.org/10.7910/DVN/DXH6FK, Harvard Dataverse, V1
The package contains Gastroenteritis: Rehydration of children with Severe Acute Malnutrition (GASTROSAM) Trial SAP. The trial has been registered on ISRCTN (registry identifier 76149273), ICREC (identifier 18IC4427), and PACTR (identifier 202103852542919). |
Apr 28, 2025 - Clinical Information Network (CIN) Group Dataverse
Tuti, Timothy, 2025, "PRISMA-SCR checklist for "The use of theory to institutionalise routine data-driven decision-making in Sub-Saharan Africa health facilities: A scoping review protocol"", https://doi.org/10.7910/DVN/ACE5AI, Harvard Dataverse, V1
The dataset contains PRISMA-SCR checklist for "The use of theory to institutionalize routine data-driven decision-making in Sub-Saharan Africa health facilities: A scoping review protocol". |
Apr 23, 2025 - Biosciences Dataverse
Tuwei, Mercy J.; Maia, Marta F., 2025, "Replication Data for: MALDI-TOF MS for identification of Afro-tropical secondary malaria vectors", https://doi.org/10.7910/DVN/GEYSM1, Harvard Dataverse, V1
This is a replication dataset for the manuscript titled: "MALDI-TOF MS for identification of Afro-tropical secondary malaria vectors." Characterizing malaria epidemiology at the local level requires understanding the diverse malaria vector species driving transmission, including both primary and secondary vectors. Effective mosquito surveillance an... |
Apr 11, 2025 - Health Economics Research Unit (HERU) Dataverse
Ochieng, Harrison; Musiega, Anita; Amboko, Beatrice; Bukosia, James; Mwaniki, Paul; Tsofa, Benjamin; Nzinga, Jacinta; Barasa, Edwine, 2025, "Replication Data for: Health Facility Assessment (HFA) of facility characteristics, levels and determinants of management capacity.", https://doi.org/10.7910/DVN/F5XFHJ, Harvard Dataverse, V2, UNF:6:7LhXSD5n6nys1XPkE8gstw== [fileUNF]
The way healthcare facilities are managed influences their service delivery and performance. Existing evidence from other LMICs show that facility management capacity influences the availability of essential medicine and equipment and the quality of care. There is a scarcity of studies assessing the management capacity of healthcare facilities in K... |