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  1. 1941
    “…FINDINGS: Socioeconomic inequalities in achieving the 90–90–90 target components among PLHIV were noted in 11 of the 12 countries surveyed: not in Rwanda. Awareness of HIV positive status was pro-rich in 5/12 countries (Côte d'Ivoire, Tanzania, Uganda, Malawi, and Zambia) ranging from CIX=0·085 (p< 0·05) in Tanzania for PLHIV, to CIX = 0·378 (p<0·1) in Côte d'Ivoire for ALHIV. …”
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    Socioeconomic inequalities in the 90–90–90 target, among people living with HIV in 12 sub-Saharan African countries — Implications for achieving the 95–95–95 target — Analysis of population-based surveys
  2. 1942
    “…RESULTS: Thirty-three studies, conducted in 10 African countries (South Africa, Nigeria, Ghana, Kenya, Cameroon, Democratic Republic of Congo, Ethiopia, Malawi, Rwanda, and Uganda) were eligible for inclusion. There were few randomized controlled trials (n = 6; 18.2%), and tasks were mostly shifted for hypertension (n = 27; 81.8%) than for diabetes (n = 16; 48.5%). …”
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    Task shifting roles, interventions and outcomes for kidney and cardiovascular health service delivery among African populations: a scoping review
  3. 1943
    Publicado 2017
    “…Between 2000 and 2016, notable improvements in the UHC index were achieved by several countries, including Cambodia, Rwanda, Equatorial Guinea, Laos, Turkey, and China; however, a number of countries, such as Lesotho and the Central African Republic, but also high-income countries, such as the USA, showed minimal gains. …”
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    Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016
  4. 1944
    “…We wished to undertake a national cluster randomized survey of musculoskeletal impairment in Malawi, one of the UN Least Developed Countries (LDC), that involved a reliable sampling methodology with a case definition and diagnostic criteria that could clearly be related to the classification system used in the WHO International Classification of Functioning, Disability and Health (ICF) METHODS: A sample size of 1,481 households was calculated using data from the latest national census and an expected prevalence based on similar surveys conducted in Rwanda and Cameroon. We randomly selected clusters across the whole country through probability proportional to size sampling with an urban/rural and demographic split that matched the distribution of the population. …”
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    Prevalence, causes and impact of musculoskeletal impairment in Malawi: A national cluster randomized survey
  5. 1945
    “…From the analysis, the following 20 countries showed a statistically significant pro-rural inequalities with higher odds of diarrhoea in rural areas than in nonrural areas at 5% alpha level: Albania (OR = 1.769; p = 0.001), Benin (OR = 1.209; p = 0.002), Burundi (OR = 1.399; p < 0.001), Cambodia (OR = 1.201; p < 0.031), Cameroon (OR = 1.377; p < 0.001), Comoros (OR = 1.266; p = 0.029), Egypt (OR = 1.331; p < 0.001), Honduras (OR = 1.127; p = 0.027), India (OR = 1.059; p < 0.001), Indonesia (OR = 1.219; p < 0.001), Liberia (OR = 1.158; p = 0.017), Mali (OR = 1.240; p = 0.001), Myanmar (OR = 1.422; p = 0.004), Namibia (OR = 1.451; p < 0.001), Nigeria (OR = 1.492; p < 0.001), Rwanda (OR = 1.261; p = 0.010), South Africa (OR = 1.420; p = 0.002), Togo (OR = 1.729; p < 0.001), Uganda (OR = 1.214; p < 0.001), and Yemen (OR = 1.249; p < 0.001); and pro-non-rural inequalities in 9 countries. …”
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    Mind the gap: what explains the rural-nonrural inequality in diarrhoea among under-five children in low and medium-income countries? A decomposition analysis
  6. 1946
    “…DPFSm increased over time among married and unmarried AGYW from poorest households in Eastern (AARC = 2.4%, p < 0.001) and Southern sub-regions (AARC = 2.1%, p = 0.030) respectively. Rwanda and Liberia had the largest increases in DPFSm among married AGYW from poorest (AARC = 5.2%, p < 0.001) and richest (AARC = 5.3%, p < 0.001) households respectively. …”
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    Wealth-related inequalities in demand for family planning satisfied among married and unmarried adolescent girls and young women in sub-Saharan Africa
  7. 1947
    “…Survey respondents represent cancer experts from 8 centers in Ghana, Nigeria, Kenya, Ethiopia, South Africa, Rwanda, and Zimbabwe. RESULTS: All sites report SARS-COv-2 transmission amongst cancer patients and staff. …”
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    COVID-19 in Sub-Saharan Africa: A Multi-Institutional Survey of the Impact of the Global Pandemic on Cancer Care Resources
  8. 1948
    “…Further, the R561H mutation in the k13 gene, which confers artemisinin-resistance, was associated with delayed parasite clearance following treatment with artemether–lumefantrine in Rwanda in this study. This was also the first study with cipargamin to be conducted in patients in sub-Saharan Africa. …”
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    Hepatic safety and tolerability of cipargamin (KAE609), in adult patients with Plasmodium falciparum malaria: a randomized, phase II, controlled, dose-escalation trial in sub-Saharan Africa
  9. 1949
    por Gansané, Adama, Candrinho, Baltazar, Mbituyumuremyi, Aimable, Uhomoibhi, Perpetua, NFalé, Sagnon, Mohammed, Audu Bala, Guelbeogo, Wamdaogo Moussa, Sanou, Antoine, Kangoye, David, Debe, Siaka, Kagone, Moubassira, Hakizimana, Emmanuel, Uwimana, Aline, Tuyishime, Albert, Ingabire, Chantal M., Singirankabo, Joseph H., Koenker, Hannah, Marrenjo, Dulcisaria, Abilio, Ana Paula, Salvador, Crizologo, Savaio, Binete, Okoko, Okefu Oyale, Maikore, Ibrahim, Obi, Emmanuel, Awolola, Samson Taiwo, Adeogun, Adedapo, Babarinde, Dele, Ali, Onoja, Guglielmo, Federica, Yukich, Joshua, Scates, Sara, Sherrard-Smith, Ellie, Churcher, Thomas, Fornadel, Christen, Shannon, Jenny, Kawakyu, Nami, Beylerian, Emily, Digre, Peder, Tynuv, Kenzie, Gogue, Christelle, Mwesigwa, Julia, Wagman, Joseph, Adeleke, Monsuru, Adeolu, Ande Taiwo, Robertson, Molly
    Publicado 2022
    “…METHODS: Observational pilot studies are ongoing in Burkina Faso, Mozambique, Nigeria, and Rwanda, leveraging dual-AI ITN rollouts nested within the 2019 and 2020 mass distribution campaigns in each country. …”
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    Design and methods for a quasi-experimental pilot study to evaluate the impact of dual active ingredient insecticide-treated nets on malaria burden in five regions in sub-Saharan Africa
  10. 1950
    “…Inequity in access can be reduced by prehospital initiatives, as used in Ghana, and community-based insurance, as modelled by Rwanda. SUMMARY: Sub-Saharan African countries have underdeveloped trauma systems. …”
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    Disparities in Access to Trauma Care in Sub-Saharan Africa: a Narrative Review
  11. 1951
    por Farley, Shannon M., Wang, Chunhui, Bray, Rachel M., Low, Andrea Jane, Delgado, Stephen, Hoos, David, Kakishozi, Angela N., Harris, Tiffany G., Nyirenda, Rose, Wadonda, Nellie, Li, Michelle, Amuri, Mbaraka, Juma, James, Kancheya, Nzali, Pietersen, Ismela, Mutenda, Nicholus, Natanael, Salomo, Aoko, Appolonia, Ngugi, Evelyn W., Asiimwe, Fred, Lecher, Shirley, Ward, Jennifer, Chikwanda, Prisca, Mugurungi, Owen, Moyo, Brian, Nkurunziza, Peter, Aibo, Dorothy, Kabala, Andrew, Biraro, Sam, Ndagije, Felix, Musuka, Godfrey, Ndongmo, Clement, Shang, Judith, Dokubo, Emily K., Dimite, Laura E., McCullough‐Sanden, Rachel, Bissek, Anne‐Cecile, Getaneh, Yimam, Eshetu, Frehywot, Nkumbula, Tepa, Tenthani, Lyson, Kayigamba, Felix R., Kirungi, Wilford, Musinguzi, Joshua, Balachandra, Shirish, Kayirangwa, Eugenie, Ayite, Ayiyi, West, Christine A., Bodika, Stephane, Sleeman, Katrina, Patel, Hetal K., Brown, Kristin, Voetsch, Andrew C., El‐Sadr, Wafaa M., Justman, Jessica J.
    Publicado 2022
    “…We examined 90‐90‐90 progress by age, 15–49 (as a comparison) and 50+ years, with further analyses among 50+ (55–59, 60–64, 65+ vs. 50–54), in 13 countries (Cameroon, Cote d'Ivoire, Eswatini, Ethiopia, Kenya, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia and Zimbabwe). METHODS: Using data from nationally representative Population‐based HIV Impact Assessments, conducted between 2015and 2019, participants from randomly selected households provided demographic and clinical information and whole blood specimens for HIV serology, VL and ARV testing. …”
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    Progress towards the UNAIDS 90‐90‐90 targets among persons aged 50 and older living with HIV in 13 African countries
  12. 1952
    “…METHODS: Residual efficacy of the insecticides used for PMI/USAID-supported IRS campaigns was measured in Benin, Burkina Faso, Ethiopia, Ghana, Kenya, Liberia, Madagascar, Malawi, Mali, Mozambique, Nigeria, Rwanda, Senegal, Tanzania, Uganda, Zambia and Zimbabwe. …”
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    Multi-country assessment of residual bio-efficacy of insecticides used for indoor residual spraying in malaria control on different surface types: results from program monitoring in 17 PMI/USAID-supported IRS countries
  13. 1953
    “…RESULTS: The pooled prevalence of skilled birth attendant in East African countries were 67.18% (95% CI:66.98, 67.38) with highest skilled birth attendant in Rwanda (90.68%) and the lowest skilled birth attendant in Tanzania (11.91%). …”
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    Pooled prevalence and determinants of skilled birth attendant delivery in East Africa countries: a multilevel analysis of Demographic and Health Surveys
  14. 1954
    “…METHODS: In BARNARDS, consenting mother–neonates aged 0–60 days dyads were enrolled on delivery or neonatal presentation with suspected sepsis at 12 BARNARDS clinical sites in Bangladesh, Ethiopia, India, Pakistan, Nigeria, Rwanda, and South Africa. Stillborn babies were excluded from the study. …”
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    Effects of antibiotic resistance, drug target attainment, bacterial pathogenicity and virulence, and antibiotic access and affordability on outcomes in neonatal sepsis: an international microbiology and drug evaluation prospective substudy (BARNARDS)
  15. 1955
    “…All included studies were cluster‐RCTs; two were conducted in India, one in the Philippines, and one in Rwanda. Health workers trained to perform CBE in the included studies were primary health workers, nurses, midwives, and community health workers. …”
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    Training health workers in clinical breast examination for early detection of breast cancer in low‐ and middle‐income countries
  16. 1956
    “…METHODS: Based on the Demographic and Health Surveys (DHSs) of 12 East African countries (Burundi, Ethiopia, Comoros, Uganda, Rwanda, Tanzania, Mozambique, Madagascar, Zimbabwe, Kenya, Zambia, and Malawi), secondary data analysis was performed. …”
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    Complete basic childhood vaccination and associated factors among children aged 12–23 months in East Africa: a multilevel analysis of recent demographic and health surveys
  17. 1957
    “…All studies were conducted in African (Tanzania, Kenya, Malawi, Ghana, Ethiopia, Cameroon, Zambia, Liberia, Uganda, South Africa, and Rwanda) and Asian (Pakistan and India) countries. …”
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    Tracking health commodity inventory and notifying stock levels via mobile devices: a mixed methods systematic review
  18. 1958
    “…MAIN RESULTS: We included 21 studies from Afghanistan, Burundi, China, Democratic Republic of Congo, Rwanda, Tanzania, the United Kingdom, and the United States of health facilities providing primary health care and mental health care. …”
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    Payment methods for outpatient care facilities
  19. 1959
    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
    “…Lessons learned Jacquelyn Nyange, Joyce Olenja, Gaudensia Mutua, Walter Jaoko, Gloria Omosa-Manyonyi, Bashir Farah, Maureen Khaniri, Omu Anzala O15 Educational technology to support active learning for HIV researchers and planners Anne Cockcroft, Kendra Tonkin, Indu Girish, Puna Mhati, Ashley Cunningham, Neil Andersson O16 From Lake Kivu (Rwanda) and Lake Malawi (Tanzania) to the shores of Lake Victoria (Uganda): Strengthening laboratory capacity through Good Clinical Laboratory Practice training Bashir Farah, Jackton Indangasi, Walter Jaoko, Gaudensia Mutua, Maureen Khaniri, Jacquelyn Nyange, Omu Anzala O17 Rilpivirine and etravirine resistance mutations in HIV-1 subtype C infected patients on a non-nucleoside reverse transcriptase inhibitor-based combination antiretroviral therapy in Botswana Thabo Diphoko, Simani Gaseitsiwe, Victoria Maiswe, Thato Iketleng, Dorcas Maruapula, Keabetswe Bedi, Sikhulile Moyo, Rosemary Musonda, Mark Wainberg, Joseph Makhema, Vladimir Novitsky, Richard Marlink, Max Essex O18 From home-based HIV testing to initiation of treatment: The AIDS Support Organization (TASO) Experience with Home-based HIV Counselling and Testing (HBHCT) among Adolescents in Uganda, 2005-2011 Stephen Okoboi, Livingstone Ssali, Sam Kalibala, Josephine Birungi, Aggrey Egessa, Jonathan Wangisi, Lyavala Joanne Okullu, Celestin Bakanda, Francis Obare(41) O19 Feasibility study on using real time medication monitoring among HIV infected and Tuberculosis patients in Kilimanjaro, Tanzania I. …”
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    Afri-Can Forum 2: Johannesburg, South Africa. 16-18 February 2015
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