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  1. 9481
    “…This trial is conducted in adults or adolescents of age ≥15 years with TBM defined as “definite,” “probable,” or “possible” using Tuberculosis Meningitis International Research Consortium criteria, in four African countries: Ivory Coast, Madagascar, Uganda, and South Africa. The primary outcome is all-cause death between inclusion and week 40. …”
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    Intensified tuberculosis treatment to reduce the mortality of HIV-infected and uninfected patients with tuberculosis meningitis (INTENSE-TBM): study protocol for a phase III randomized controlled trial
  2. 9482
    “…Data regarding 30-day in-hospital mortality and its factors has not been explored in southwestern Uganda. METHODS: We carried out a retrospective, single-center cohort study, and included all in-patients with laboratory-confirmed, radiological, or clinical severe COVID-19 admitted between April 2020 and September 2021 at Mbarara Regional Referral Hospital (MRRH). …”
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    Factors Associated with 30-Day in-Hospital Mortality Among Patients Admitted with Severe Covid-19 in Mbarara Regional Referral Hospital
  3. 9483
    “…In this study, we conducted 2,488 client exit interviews with abortion clients after their induced abortion service or postabortion care visit in Ipas-supported health facilities in eight countries: Argentina, Bolivia, Ethiopia, Kenya, Mexico, Nepal, Nigeria, and Uganda. We evaluated the quality of postabortion contraceptive counseling across two domains of contraceptive counseling: information exchange and interpersonal communication. …”
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    The association of quality contraceptive counseling measures with postabortion contraceptive method acceptance and choice: results from client exit interviews across eight countries
  4. 9484
    “…RESULT: The pooled prevalence of pregnancy termination in East African countries was 7.79% (95% CI: 7.54, 8.04) with the highest prevalence in Uganda 12.51% (95% CI: 11.56, 13.41) and lowest was observed in Zambia 5.64% ((95% CI: 4.86, 6.41). …”
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    Pooled prevalence and associated factors of pregnancy termination among youth aged 15–24 year women in East Africa: Multilevel level analysis
  5. 9485
    “…Like many other African contexts, Mbarara University of Science and Technology (MUST) in Uganda has large numbers of medical students, but limited resources, including limited simulation trained teaching faculty. …”
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    Understanding the barriers and enablers for postgraduate medical trainees becoming simulation educators: a qualitative study
  6. 9486
    por Mukudu, Hillary, Martinson, Neil, Sartorius, Benn, Coetzee, Jenny, Dietrich, Janan, Mokgatswana, Kgaugelo, Jewkes, Rachel, Gray, Glenda E., Dugas, Marylène, Béhanzin, Luc, Guédou, Fernand A., Gagnon, Marie-Pierre, Alary, Michel, Rutakumwa, Rwamahe, Mbonye, Martin, Kiwanuka, Thadeus, Nakamanya, Sarah, Muhumuza, Richard, Nalukenge, Winfred, Seeley, Janet, Atujuna, Millicent, Wallace, Melissa, Brown, Ben, Bekker, Linda Gail, Newman, Peter A., Harryparsad, Rushil, Olivier, Abraham J., Jaspan, Heather B., Wilson, Douglas, Dietrich, Janan, Martinson, Neil, Mukudu, Hillary, Mkhize, Nonhlanhla, Morris, Lynn, Cianci, Gianguido, Dinh, Minh, Hope, Thomas, Passmore, Jo-Ann S., Gray, Clive M., Henrick, Bethany M., Yao, Xiao-Dan, Rosenthal, Kenneth L., Henrick, Bethany M., Yao, Xiao-Dan, Drannik, Anna G., Abimiku, Alash’le, Rosenthal, Kenneth L., Chanzu, Nadia, Mwanda, Walter, Oyugi, Julius, Anzala, Omu, Mbow, Moustapha, Jallow, Sabelle, Thiam, Moussa, Davis, Alberta, Diouf, Assane, Ndour, Cheikh T., Seydi, Moussa, Dieye, Tandakha N., Mboup, Souleymane, Goodier, Martin, Rilley, Eleanor, Jaye, Assan, Yao, Xiao-Dan, Omange, RW., Henrick, Bethany M., Lester, Richard T., Kimani, Joshua, Ball, T. Blake, Plummer, Francis A., Rosenthal, Kenneth L., Béhanzin, Luc, Guédou, Fernand A., Geraldo, Nassirou, Mastétsé, Ella Goma, Sossa, Jerôme Charles, Zannou, Marcel Djimon, Alary, Michel, Osawe, Sophia, Okpokoro, Evaezi, Okolo, Felicia, Umaru, Stephen, Abimiku, Rebecca, Audu, Sam, Datong, Pam, Abimiku, Alash’le, Nyange, Jacquelyn, Olenja, Joyce, Mutua, Gaudensia, Jaoko, Walter, Omosa-Manyonyi, Gloria, Farah, Bashir, Khaniri, Maureen, Anzala, Omu, Cockcroft, Anne, Tonkin, Kendra, Girish, Indu, Mhati, Puna, Cunningham, Ashley, Andersson, Neil, Farah, Bashir, Indangasi, Jackton, Jaoko, Walter, Mutua, Gaudensia, Khaniri, Maureen, Nyange, Jacquelyn, Anzala, Omu, Diphoko, Thabo, Gaseitsiwe, Simani, Maiswe, Victoria, Iketleng, Thato, Maruapula, Dorcas, Bedi, Keabetswe, Moyo, Sikhulile, Musonda, Rosemary, Wainberg, Mark, Makhema, Joseph, Novitsky, Vladimir, Marlink, Richard, Essex, Max, Okoboi, Stephen, Ssali, Livingstone, Kalibala, Sam, Birungi, Josephine, Egessa, Aggrey, Wangisi, Jonathan, Okullu, Lyavala Joanne, Bakanda, Celestin, Obare, Francis, Boer, I. Marion Sumari-de, Semvua, Hadija H., van den Boogaard, Jossy, Kiwango, Krisanta W., Ngowi, Kennedy M., Nieuwkerk, Pythia T., Aarnoutse, Rob E., Kiwelu, Ireen, Muro, Eva, Kibiki, Gibson S., Datiri, Ruth, Choji, Grace, Osawe, Sophia, Okpokoro, Evaezi, Okolo, Felicia, Umaru, Stephen, Abimiku, Rebecca, Audu, Samuel, Datong, Pam, Abimiku, Alash’le, Fomsgaard, A., Karlsson, I., Jensen, K. J., Jensen, S. S., Leo-Hansen, C., Jespersen, S., Da Silva Té, D., Rodrigues, C. M., da Silva, Z. J., Janitzek, C. M., Gerstoft, J., Kronborg, G., Okpokoro, Evaezi, Osawe, Sophia, Daitiri, Ruth, Choji, Grace, Umaru, Stephen, Okolo, Felicia, Datong, Pam, Abimiku, Alash’le, Emily, Nyariki, Joyce, Olenja, Robert, Lorway R., Anzala, Anzala, Viljoen, Katie, Wendoh, Jerome, Kidzeru, Elvis, Karaoz, Ulas, Brodie, Eoin, Botha, Gerrit, Mulder, Nicola, Gray, Clive, Cameron, William, Stintzi, Alain, Jaspan, Heather, Levett, Paul N., Alexander, David, Gulzar, Naveed, Grewal, Prabvir S., Poon, Art F. Y., Brumme, Zabrina, Harrigan, P. Richard, Brooks, James I., Sandstrom, Paul A., Calvez, Stryker, Sanche, Stephen E., Scott, Jamie K., Swartz, Leslie, Kagee, Ashraf, Lesch, Anthea, Kafaar, Zuhayr, De Wet, Anneliese, Okpokoro, Evaezi, Osawe, Sophia, Daitiri, Ruth, Choji, Grace, Umaru, Stephen, Okolo, Felicia, Datong, Pam, Abimiku, Alash’le, Dietrich, Janan, Smith, Tricia, Cotton, Laura, Hornschuh, Stefanie, van der Watt, Martin, Miller, Cari L., Gray, Glenda, Smit, Jenni, Jaggernath, Manjeetha, Ndung’u, Thumbi, Brockman, Mark, Kaida, Angela, Akolo, Maureen, Kimani, Joshua, Gelmon, Larry, Chitwa, Michael, Osero, Justus, Cockcroft, Anne, Marokoane, Nobantu, Kgakole, Leagajang, Maswabi, Boikhutso, Mpofu, Neo, Ansari, Umaira, Andersson, Neil, Nakinobe, Elizabeth, Miiro, George Mukalazi, Zalwango, Flavia, Nakiyingi-Miiro, Jessica, Kaleebu, Potiano, Semwanga, John Ross, Nyanzi, Emily, Musoke, Saidat Namuli, Nakinobe, Elizabeth, Miiro, George, Mbidde, Edward Katongole, Lutalo, Tom, Kaleebu, Pontiano, Handema, Ray, Chianzu, Graham P., Thiam, Moussa, Diagne-Gueye, Diabou, Ndiaye, Mame K., Mbow, Moustapha, Ndiaye, Birahim P., Traore, Ibrahima, Dia, Mamadou C., Thomas, Gilleh, Tour-Kane, Coumba, Mboup, Souleymane, Jaye, Assan, Nyanzi, Emily, Mbidde, Edward Katongole, Kaleebu, Pontiano, Mpendo, Juliet, Kimani, Joshua, Birungi, Josephine, Muyindike, Winnie, Kambugu, Andrew, Sebastian, Hachizovu, Ray, Handema, Mike, Chaponda, Bertin, Kabuya Jean, Modest, Mulenga, Thiam, Moussa, Janha, Omar, Davis, Alberta, Amambua-Ngwa, Alfred, Nwakanma, Davis C., Mboup, Souleymane, Jaye, Assan, Jespersen, Sanne, Hønge, Bo Langhoff, Esbjörnsson, Joakim, Medina, Candida, Da Silva TÉ, David, Correira, Faustino Gomes, Laursen, Alex Lund, Østergaard, Lars, Andersen, Andreas, Aaby, Peter, Erikstrup, Christian, Wejse, Christian, Dieye, Siry, Sarr, Moussa, Sy, Haby, Mbodj, Helene D., Ndiaye, Marianne, Ndiaye, Amy, Moussa, Seydi, Jaye, Assan, Mboup, Souleymane, Nyombi, Balthazar M., Shao, Elichilia R., Chilumba, Innocent B., Moyo, Sikhulile, Gaseitsiwe, Simani, Musonda, Rosemary, Datong, Pam, Inyang, Bucky, Osawe, Sophia, Izang, Abel, Cole, Chundung, Okolo, Felicia, Cameron, Bill, Rosenthal, Kenneth, Gray, Clive, Jaspan, Heather, Abimiku, Alash’le, Seraise, Boitumelo, Andrea-Marobela, Kerstin, Moyo, Sikhulile, Musonda, Rosemary, Makhema, Joseph, Essex, Max, Gaseitsiwe, Simani
    Publicado 2016
    “…Guédou, Marie-Pierre Gagnon, Michel Alary O4 Relative perception of risk as a driver of unsafe sexual practices among key populations: Cases of fisherfolk and women and their partners involved in multiple sexual partnerships in Uganda Rwamahe Rutakumwa, Martin Mbonye, Thadeus Kiwanuka, Sarah Nakamanya, Richard Muhumuza, Winfred Nalukenge, Janet Seeley O5 Exploring the acceptability of new biomedical HIV prevention technologies among MSM, adolescents and heterosexual adults in South Africa Millicent Atujuna, Melissa Wallace, Ben Brown, Linda Gail Bekker, Peter A. …”
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    Afri-Can Forum 2: Johannesburg, South Africa. 16-18 February 2015
  7. 9487
    “…The prevalence of S. mansoni among PSAC in the included studies was estimated at 12.9% in Ghana, 80.3–90.5% in Kenya, 35.0% in Madagascar, 9.6–78.0% in Senegal, 11.2–35.4% in Sierra Leone, 44.4–54.9% in Tanzania and 39.3–74.9% in Uganda. Out of the three studies that investigated S. haematobium, the presence of the infection was reported in only one study carried out in Nigeria. …”
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    Epidemiology of pediatric schistosomiasis in hard-to-reach areas and populations: a scoping review
  8. 9488
    “…Three (12%) had a primarily southern hemisphere pattern with some northern hemisphere epidemics (Ghana, Kenya, and Uganda). Three (12%) had a southern hemisphere pattern (Central African Republic, South Africa, and Zambia). …”
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    Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis
  9. 9489
    “…Correlations for annual trends across the three outcomes were inconsistent, with several countries showing progress in terms of one outcome but not in others. Togo and Uganda showed with the most consistent progress in reducing inequality, whereas the worst performers were Nigeria, Moldova, Kyrgyzstan, Sao Tome and Principe, and Burkina Faso. …”
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    Time trends in ethnic inequalities in child health and nutrition: analysis of 59 low and middle-income countries
  10. 9490
    “…In total, 9 of the 10 (90%) studies were conducted in high-income countries with only 1 study done in Uganda but supported by the United Kingdom. The quality of included papers ranged between 50% and 100%, showing moderate to high appraisal results. …”
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    Supporting Midwifery Students During Clinical Practice: Results of a Systematic Scoping Review
  11. 9491
    “…Based on our models, countries that should prioritize digital health investments were South Africa, Nigeria, and Tanzania for HIV; Nigeria, South Africa, and Democratic Republic of the Congo (DROC) for tuberculosis; DROC, Nigeria, and Uganda for malaria; and Egypt, Nigeria, and Ethiopia for endemic NCDs including diabetes, cardiovascular disease, respiratory diseases, and malignancies. …”
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    Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases
  12. 9492
    “…METHODS: Cross-sectional, nationally representative Demographic and Health Surveys (DHS) were used to explore the subnational spatiotemporal patterns of overweight/obesity and tobacco use in Burundi, Kenya, Rwanda, Tanzania, and Uganda, five East African Community (EAC) nations with unique cultural landscapes influencing CVD risk factors. …”
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    Spatial and temporal trends of overweight/obesity and tobacco use in East Africa: subnational insights into cardiovascular disease risk factors
  13. 9493
    “…BACKGROUND: The Uganda Ministry of Health issued restrictive guidelines on the use of dolutegravir (DTG) in persons stratified to have a heightened risk of diabetes mellitus. …”
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    Dolutegravir use over 48 weeks is not associated with worsening insulin resistance and pancreatic beta cell function in a cohort of HIV-infected Ugandan adults
  14. 9494
    “…In urban sub-Saharan Africa, the overall prevalence of marital dissolution was 8.88% (95% CI:8.78–8.99), with the lowest prevalence in Mali (3.30%; 95% CI: 2.91–3.69) and the highest in Uganda (18.60%; 95% CI: 17.95–19.25). For rural sub-Saharan Africa, the pooled prevalence was 4.11% (95% CI: 4.03–4.18), with the lowest (0.80%; 95% CI: 0.65–0.95) and highest (14.40%; 95% CI: 13.51–15.29) prevalences in Burkina Faso and Mozambique, respectively. …”
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    Rural-urban differentials in the association between sex preference for children and marital dissolution in sub-Saharan Africa
  15. 9495
    “…METHODS: We prospectively enrolled patients who received TBM treatment and were classified as definite, probable or possible TBM by the uniform case definition from January 2019 to March 2023 in two National Referral Hospitals in Uganda. Participants received standard quadruple TB and corticosteroid therapy. …”
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    1490. Predictors of Early Mortality in HIV-associated Tuberculous Meningitis
  16. 9496
    “…There will be eight centres located in Argentina, Egypt, India, Kenya, Philippines, South Africa, Thailand and Uganda. There will be an online data entry system managed from HRP/RHR. …”
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    Active management of the third stage of labour without controlled cord traction: a randomized non-inferiority controlled trial
  17. 9497
    “…METHODS: We assessed adults (≥18 years) with suspected tuberculosis or multidrug-resistant tuberculosis consecutively presenting with cough lasting at least 2 weeks to urban health centres in South Africa, Peru, and India, drug-resistance screening facilities in Azerbaijan and the Philippines, and an emergency room in Uganda. Patients were excluded from the main analyses if their second sputum sample was collected more than 1 week after the first sample, or if no valid reference standard or MTB/RIF test was available. …”
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    Feasibility, diagnostic accuracy, and effectiveness of decentralised use of the Xpert MTB/RIF test for diagnosis of tuberculosis and multidrug resistance: a multicentre implementation study
  18. 9498
    “…This paper presents supply side data from ACTwatch outlet surveys in Benin, the Democratic Republic of Congo (DRC), Madagascar, Nigeria, Uganda and Zambia. METHODS: Between March 2009 and June 2010, nationally representative surveys of outlets providing anti-malarials to consumers were conducted. …”
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    Got ACTs? Availability, price, market share and provider knowledge of anti-malarial medicines in public and private sector outlets in six malaria-endemic countries
  19. 9499
    por Vanderelst, Dieter, Speybroeck, Niko
    Publicado 2013
    “…Data from the following countries was used: Angola, Burkina Faso, Burundi, Cameroon, Congo Democratic Republic, Ethiopia, Ghana, Guinea, Kenya, Liberia, Madagascar, Malawi, Mali, Mozambique, Namibia, Nigeria, Rwanda, Senegal, Sierra Leone, Tanzania, Uganda, Zambia and Zimbabwe. The priority order given by the ABC and the bed net coverage are compared at the countries’ level, the first level administrative divisions and for five different wealth quintiles. …”
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    An adjusted bed net coverage indicator with estimations for 23 African countries
  20. 9500
    “…Among the participating countries, in vitro CQ resistance based on pfcrt mutation frequency in the baseline isolates across both studies ranged from 20.8% (Zambia) to 96.1% (Uganda). Serious adverse events (AEs; all causality) were observed more frequently with MQ compared with AZCQ (four vs one, respectively), though discontinuations for AEs were similar (four vs three, respectively). …”
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    Efficacy and safety of a combination of azithromycin and chloroquine for the treatment of uncomplicated Plasmodium falciparum malaria in two multi-country randomised clinical trials in African adults
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