71 to 80 of 349 Results
Wainaina, John; Ogero, Morris; Mumelo, Livingstone; Wairoto, Kefa; Mbevi, George; Tuti, Timothy; Mwaniki, Paul; Irimu, Grace; English, Mike; Aluvaala, Jalemba; The Clinical Information Network Author Group, 2023, "Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality", https://doi.org/10.7910/DVN/VDSUDE, Harvard Dataverse, V1, UNF:6:mjZsyi3XOts07bqrJ1m0Cw== [fileUNF]
This is a replication dataset for the publication titled: "Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality". Hypothermia among newborns has reported to increase risk of neonatal mortality. However, these reports have ori... |
Sang, Samuel; Datoo, Mehreen; Otieno, Edward; Muiruri, Charles; Gathuri, Emmaloise; Ngoto,Omar; Musembi, Janet; Bellamy, Duncan; Provstgaard-Morys, Samuel; Stockdale, Lisa; Aboagye, Jeremy; Woods, Daniel; Lawrie, Alison; Roberts, Rachel; Keter, Kelvias; Kimani, Domtila; Ndungu, Francis; Kapulu, Melissa; Njau, Irene; Orindi, Benedict; Ewer, Katie; Hill, Adrian V. S.; Bejon, Philip; Hamaluba, Mainga, 2023, "Data for: A Phase 1b, open-label, age de-escalation, dose-escalation study to evaluate the safety and immunogenicity of different doses of a candidate malaria vaccine; adjuvanted R21(R21/MM) in adults, young children and infants in Kilifi, Kenya", https://doi.org/10.7910/DVN/IRGZ35, Harvard Dataverse, V5, UNF:6:8VbuHGi8Xr05EETTLqzF9g== [fileUNF]
In the era of anti-malaria drug resistance and resistance to insecticide treated bed nets, there is an urgent need for a highly efficacious vaccine. We evaluated a candidate malaria vaccine incorporating the antigen R21 (part of the P. falciparum circumsporozoite malaria antigen co-expressed with hepatitis B antigen plus an adjuvant to boost the im... |
Murunga, Nickson; Nyawanda, Bryan; Nyiro, Joyce U.; Otieno, Grieven P.; Kamau, Everlyn; Agoti, Charles N.; Lewa, Clement; Gichuki, Alex; Mutunga, Martin; Otieno, Nancy; Mayieka, Lilian; Ochieng, Melvin; Kikwai, Gilbert; Hunsperger, Elizabeth; Onyango, Clayton; Emukule, Gideon; Bigogo, Godfrey; Verani, Jennifer R.; Chaves, Sandra S.; Nokes, David James; Munywoki, Patrick K., 2022, "Replication Data for: Surveillance of respiratory viruses at health facilities from across Kenya, 2014", https://doi.org/10.7910/DVN/VFCZN4, Harvard Dataverse, V7, UNF:6:ek1fu3CwyMKIiLVkPQPC8Q== [fileUNF]
This is a replication dataset for the manuscript titled: "Surveillance of respiratory viruses at health facilities from across Kenya, 2014." These data originated from surveillance carried out in 11 sites across Kenya. It contains patients' demographics and clinical features, samples tested, samples positive, respiratory virus targets, years and mo... |
Aug 14, 2023 - Clinical Information Network (CIN) Group Dataverse
Otuko, Rachel; Maina, Michuki; Mwaniki, Paul; Mweu, Marshal; Akech, Samuel, 2023, "Replication Data for: Patterns and determinants of antibiotic prescription among children admitted to public hospitals in Kenya", https://doi.org/10.7910/DVN/MOZQXQ, Harvard Dataverse, V1, UNF:6:fKm1Tol4yvHaL1vkjS9cSQ== [fileUNF]
The dataset contains information on paediatric patients admitted to CIN hospitals in Kenya between 2014 and 2020. The data includes demographics, patient history, diagnoses and treatment. It was used to describe the patterns and determinats of antibiotic use among admitted children. The data are collected from record forms in the hospital when the... |
Aug 9, 2023
Nyiro, Joyce U.; Murunga, Nickson, 2021, "Replication Data for: Prevalence and predictors of adverse birth outcomes and implications for uptake of new maternal vaccines in Kenya", https://doi.org/10.7910/DVN/9AIEIT, Harvard Dataverse, V3, UNF:6:/LqiRzD2J3uOcrf5gQPQrg== [fileUNF]
A cross-sectional survey was conducted to collect data on birth outcomes from women residents of the health and demographic surveillance systems (HDSS) areas of Siaya and Kilifi, Kenya; and from the maternity wards of Siaya County referral hospital and Bondo sub-county hospital. Participants of the HDSS sites had pregnancies registered in the years... |
Aug 8, 2023 - Invasive Bacterial Disease Research Group Dataverse
Etyang, Anthony O.; Kapesa, Sailoki; Odipo, Emily; Bauni, Evasius; Kyobutungi, Catherine; Abdalla, Marwah; Mutner, Paul; Musani, Solomon K.; Macharia, Alex; Williams, Thomas N.; Cruickshank, J Kennedy; Smeeth, Liam; Scott, J Anthony G., 2023, "Replication Data for: Effect of Previous Exposure to Malaria on Blood Pressure in Kilifi, Kenya: A Mendelian Randomization Study", https://doi.org/10.7910/DVN/NCFR6X, Harvard Dataverse, V1
This is a replication dataset for the research paper: "Effect of Previous Exposure to Malaria on Blood Pressure in Kilifi, Kenya: A Mendelian Randomization Study published in Journal of the American Heart Association. |
Luka, Martha M.; Otieno, James R.; Kamau, Everlyn; Morobe, John M.; Murunga, Nickson; Adema, Irene; Nyiro, Joyce U.; Macharia,Peter M.; Bigogo, Godfrey; Otieno, Nancy A.; Nyawanda, Bryan O.; Rabaa, Maia A.; Emukule, Gideon O.; Onyango, Clayton; Munywoki, Patrick K.; Agoti, Charles N.; Nokes, D.James, 2023, "Replication Data for: Rhinovirus transmission dynamics across different social structures", https://doi.org/10.7910/DVN/KSOPCI, Harvard Dataverse, V1, UNF:6:5Iz4Zr91WomokGKyjKfRMA== [fileUNF]
This is a replication dataset for the publication titled: "Rhinovirus transmission dynamics across different social structures ." This dataset aims to compare rhinovirus dynamics from five previous studies conducted in Kenya in four different social structures. The studies are (i) intensive household surveillance in coastal Kenya (Dec 2009 - May 20... |
Karanja, Henry K.; Orindi, Benedict; Gitonga, John N.; Mugo, Daisy; Mwai, Kennedy; Nyamwaya, Doris K.; Omuoyo, Donwilliams; Kitsao, Barnes S.; Musyoki, Jennifer N.; Wambua, Julianna; Otieno, Edward; Ochola-Oyier, Lynette Isabella; Bejon, Philip; Warimwe, George M., 2023, "Replication Data for: Temporal trends of dengue seroprevalence among children in coastal Kenya, 1998–2018: a longitudinal cohort study.", https://doi.org/10.7910/DVN/WB1G4F, Harvard Dataverse, V3, UNF:6:YuPsWArn7WZkeKFx8pvZNw== [fileUNF]
This is a replication dataset for the manuscript titled: "Temporal trends of dengue seroprevalence among children in coastal Kenya, 1998–2018: a longitudinal cohort study." Dengue serology data collected 1998-2018 from Junju and Ngerenya in Kilifi between August 31, 1998 and April 10, 2018. The dataset has 8 variables and 8038 observations from 1,8... |
Wen, Bijun; Farooqui,Amber; Bourdon, Celine; Ngari,Moses M.; Chimwezi, Emmanuel; Thitiri, Johnstone; Mwalekwa,Laura; Walson,Judd L.; Voskuijl,Wieger; Berkley, James A.; Bandsma,Robert H.J., 2023, "Replication Data for: Intestinal Disturbances Associated with Mortality of Children with Complicated Severe Malnutrition", https://doi.org/10.7910/DVN/I4EYDR, Harvard Dataverse, V1, UNF:6:91IeQamdBuBKIzOXzgZqIQ== [fileUNF]
This is a replication dataset for the manuscript titled: "Replication Data for: Intestinal Disturbances Associated with Mortality of Children with Complicated Severe Malnutrition." This is data is from a case-control study nested within the F75 intervention trial. By comparing the fecal metabolomic profiles and enteropathy markers between cases (ch... |
Elson, Lynne; Kamau, Christopher; Koech, Sammy; Muthama, Christopher; Gachomba, George; Sinoti, Erastus; Chondo, Elwyn; Mburu, Eliud; Wakio, Miriam; Lore, Jimmy; Maia, Marta F.; Adetifa, Ifedayo; Orindi, Benedict; Bejon, Philip; Fillinger,Ulrike, 2023, "Replication Data for: National prevalence and risk factors for tungiasis in Kenya", https://doi.org/10.7910/DVN/DFSTIZ, Harvard Dataverse, V1
This is a replication dataset for the manuscript titled: "National prevalence and risk factors for tungiasis in Kenya." Data set of 59 variables for 21,466 primary school pupils collected when examining them for tungiasis as part of a national survey to determine the national prevalence of the disease. The variables include whether a pupil was infe... |
