Items where faculty/department is "MRC/UVRI and LSHTM Uganda Research Unit" and Year is 2023

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Number of items: 11.

K

Kakande, A, Makanga, R, Kasamba, I, Kimono, B, Mugisha, J, Ruzagira, E, Kaleebu, P, Seeley, J and Newton, R (2023). Medical survey data to monitor trends in HIV epidemiology and assess the prevalence of Non-Communicable Diseases (NCDs) and associated factors in Central Uganda. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003702.

Kakande, A, Slivesteri, S, Ssali, A, Bahemuka, UM, Nsubuga, D, Muwanga, M, Nsereko, C, Ssemwanga, E, Robert, A, Seeley, J, Elliott, AM and Ruzagira, E (2023). Qualitative interview data on the factors that influence COVID-19 vaccine uptake among healthcare workers and older persons in three Ugandan hospitals and areas of Wakiso district. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003700.

Kakande, A, Ssemata, AS, Muhumuza, R, Atujuna, M, Abaasa, A, Fox, J, Ndekezi, D, Tshabalala, G, Nematadzira, T, Hornschuh, S, Nomvuyo, M, Ahmed, N, Maluadzi, M, Weiss, H, Seeley, J, Dietrich, JJ, Stranix-Chibanda, L, Webb, E, PrEPVacc Study Group and ITAPS team (2023). Data for: PrEP preference among adolescent boys and young men in three sub-Saharan African countries. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003232.

Kansiime, S, Hansen, C, Hayes, R, Ruzagira, E and PrEPVacc study team (2023). Dataset for: Developing HIV risk prediction tools in four African settings. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003540.

Katumba, K, Tann, CJ, Webb, EL, Tenywa, P, Nampijja, M, Seeley, J and Greco, G (2023). The economic burden incurred by families caring for a young child with developmental disability in Uganda: User costing questionnaire. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000953.s002

Katumba, K, Tann, C, Webb, E, Tenywa, P, Nampijja, M, Seeley, J and Greco, G (2023). Data supporting "The economic burden incurred by families caring for a young child with developmental disability in Uganda". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003311.

Kinyanda, E, Birungi, C, Mpango, RS, Ssebunya, J, Nyiiro, F, Mbabazi, J, Nakaweesa, J, Ayikoru, T, Edwards, J, Turinayo, S and Namugumya, D (2023). Sexual and Physical Abuse among Patients with Severe Mental Illness in Kampala and Masaka – Coding Framework Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002840.

Kitonsa, J, Kansiime, S, Kusemererwa, S, Onyango, M, Nayiga, B, Kabarambi, A, Mugisha, J, Kaleebu, P, Ruzagira, E and PrEPVacc Study Group (2023). Data for: Changes in self-reported risky sexual behaviour indicators among adults receiving regular risk reduction counselling and optional initiation of pre-exposure prophylaxis in an HIV vaccine preparedness study in Masaka, Uganda. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003403.

M

Mujumbusi, L, Nalwadda, E, Ssali, A, Pickering, L, Seeley, J, Meginnis, K and Lamberton, PHL (2023). Raw data extracted and anonymised data after coding. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010687.s001

N

Namulondo, J, Nyangiri, OA, Kimuda, MP, Nambala, P, Nassuuna, J, Egesa, M, Nerima, B, Biryomumaisho, S, Mugasa, CM, Nabukenya, I, Kato, D, Elliott, A, Noyes, H, Tweyongyere, R, Matovu, E and Mulindwa, J (2023). RNA Sequence data analysis using DESeq2 pipeline. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0011455.s009

S

Soremekun, C, Machipisa, T, Soremekun, O, Pirie, F, Oyekanmi, N, Motala, AA, Chikowore, T and Fatumo, S (2023). Multivariate GWAS analysis reveals loci associated with liver functions in continental African populations. S1 File. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0280344.s001

This list was generated on Wed Apr 24 02:07:40 2024 BST.