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  1. 16301
    “…Several genomes from Kibera formed a clade with genomes from Kenya, Malawi, South Africa, and Tanzania. The most recent common ancestor (MRCA) for these isolates was from around 1997. …”
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    Molecular characterization of circulating Salmonella Typhi strains in an urban informal settlement in Kenya
  2. 16302
    por Kim, Michelle S., Naidoo, Daphne, Hazra, Ujani, Quiver, Melanie H., Chen, Wenlong C., Simonti, Corinne N., Kachambwa, Paidamoyo, Harlemon, Maxine, Agalliu, Ilir, Baichoo, Shakuntala, Fernandez, Pedro, Hsing, Ann W., Jalloh, Mohamed, Gueye, Serigne M., Niang, Lamine, Diop, Halimatou, Ndoye, Medina, Snyper, Nana Yaa, Adusei, Ben, Mensah, James E., Abrahams, Afua O. D., Biritwum, Richard, Adjei, Andrew A., Adebiyi, Akindele O., Shittu, Olayiwola, Ogunbiyi, Olufemi, Adebayo, Sikiru, Aisuodionoe-Shadrach, Oseremen I., Nwegbu, Maxwell M., Ajibola, Hafees O., Oluwole, Olabode P., Jamda, Mustapha A., Singh, Elvira, Pentz, Audrey, Joffe, Maureen, Darst, Burcu F., Conti, David V., Haiman, Christopher A., Spies, Petrus V., van der Merwe, André, Rohan, Thomas E., Jacobson, Judith, Neugut, Alfred I., McBride, Jo, Andrews, Caroline, Petersen, Lindsay N., Rebbeck, Timothy R., Lachance, Joseph
    Publicado 2022
    “…To understand how well genetic predictions perform in different populations, we evaluated test characteristics of PRS from three previous studies using data from the UK Biobank and a novel dataset of 1298 prostate cancer cases and 1333 controls from Ghana, Nigeria, Senegal, and South Africa. RESULTS: Allele frequency differences cause predicted risks of prostate cancer to vary across populations. …”
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    Testing the generalizability of ancestry-specific polygenic risk scores to predict prostate cancer in sub-Saharan Africa
  3. 16303
    “…IMPORTANCE The SARS-CoV-2 Omicron (B.1.1.529) variant of concern emerged in South Africa late in 2021 and rapidly spread across the world causing a significant increase in the number of infections. …”
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    The Omicron Variant BA.1.1 Presents a Lower Pathogenicity than B.1 D614G and Delta Variants in a Feline Model of SARS-CoV-2 Infection
  4. 16304
    “…METHODS: In the prospective, multinational, observational INTERBIO-21st fetal study, conducted in maternity units in Pelotas (Brazil), Nairobi (Kenya), Karachi (Pakistan), Soweto (South Africa), Mae Sot (Thailand), and Oxford (UK), we enrolled women (≥18 years, with a BMI of less than 35 kg/m(2), natural conception, and a singleton pregnancy) who initiated antenatal care before 14 weeks’ gestation. …”
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    Association between fetal abdominal growth trajectories, maternal metabolite signatures early in pregnancy, and childhood growth and adiposity: prospective observational multinational INTERBIO-21st fetal study
  5. 16305
    “…BACKGROUND: The Coronavirus Disease-2019 (COVID-19) pandemic in South Africa compelled medical schools to switch to a purely online curriculum. …”
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    A comparative analysis of the impact of online, blended, and face-to-face learning on medical students’ clinical competency in the affective, cognitive, and psychomotor domains
  6. 16306
    “…Conversely, the lowest vaccine hesitancy rates ranging from 0.69 and 2% were found in two studies from South Africa and Switzerland, respectively. The largest study (n = 227,740) was conducted in Switzerland while the smallest sample size (n = 12) was represented by a study conducted in the USA. …”
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    Barriers and facilitators of childhood COVID-19 vaccination among parents: A systematic review
  7. 16307
    “…This study evaluated genetic diversity, population structure, and breed divergence in 279 animals of Merino and Merino-based sheep breeds in South Africa using the Illumina Ovine SNP 50K BeadChip. …”
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    Selection signature analysis and genome-wide divergence of South African Merino breeds from their founders
  8. 16308
    “…METHODS: Based on the SIRV model, the COVID-19 transmission rate and trend from September 2021 to January 2022 of the top 15 African countries (South Africa, Morocco, Tunisia, Libya, Egypt, Ethiopia, Kenya, Zambia, Algeria, Botswana, Nigeria, Zimbabwe, Mozambique, Uganda, and Ghana) in the accumulative number of COVID-19 confirmed cases was fitted by using the data from Worldometer. …”
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    Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa
  9. 16309
    “…METHODS: Adults initiating ART and anti-TB treatment in the setting of newly-diagnosed HIV and pulmonary TB were enrolled in a prospective cohort study in South Africa. Patients underwent 6 min walk tests and spirometry at weeks 0, 4, 12, and 24 and biomarker level measurements early during treatment, at weeks 0, 4, and 12, when inflammation levels are typically elevated. …”
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    Lung function and collagen 1a levels are associated with changes in 6 min walk test distance during treatment of TB among HIV-infected adults: a prospective cohort study
  10. 16310
    Publicado 2011
    Tabla de Contenidos: “…: replicating a cross-sectoral intervention addressing the social determinants of health : the case of the Intervention with Microfinance for AIDS and Gender Equity (IMAGE) in South Africa / James Hargreaves .. [et al.] -- Insecticide-treated nets in Tanzania mainland : challenges in reaching the most vulnerable, most exposed and poorest groups / Jaap Koot, Romanus Mtung'e and Jane Miller -- Addressing the social determinants of alcohol use and abuse with adolescents in a Pacific Island country (Vanuatu) / Patrick Harris, ... …”
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    Social determinants approaches to public health : from concept to practice
  11. 16311
    “…This study is part of the ASCENT consortium, assessing DATs in South Africa, the Philippines, Ukraine, Tanzania and Ethiopia. …”
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    Evaluating the equity impact and cost-effectiveness of digital adherence technologies with differentiated care to support tuberculosis treatment adherence in Ethiopia: protocol and analysis plan for the health economics component of a cluster randomised trial
  12. 16312
    “…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. …”
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    Task shifting roles, interventions and outcomes for kidney and cardiovascular health service delivery among African populations: a scoping review
  13. 16313
    “…RESULTS: From 2016-2020, there were 2,246 cases over nine countries: Peru (n=839, 37.4%), Tanzania (n=290, 12.9%), India (n=225, 10.0%), Nigeria (n=195, 8.7%), Pakistan (n=181, 8.1%), Kenya (n=166, 7.4%), Nepal (n=145, 6.5%), South Africa (n=105, 4.7%), and Mexico (n=100, 4.5%). …”
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    32 Food Security as a Predictor of Global Pediatric Postburn Mortality
  14. 16314
    por Greenhawt, Matthew, Dribin, Timothy E., Abrams, Elissa M., Shaker, Marcus, Chu, Derek K., Golden, David BK., Akin, Cem, Anagnostou, Akterini, ALMuhizi, Faisal, Alqurashi, Waleed, Arkwright, Peter, Baldwin, James L., Banerji, Aleena, Bégin, Philippe, Ben-Shoshan, Moshe, Bernstein, Jonathan, Bingeman, Theresa A., Bindslev-Jensen, Carsten, Blumenthal, Kim, Byrne, Aideen, Cahil, Julia, Cameron, Scott, Campbell, Dianne, Campbell, Ronna, Cavender, Michael, Chan, Edmond S., Chinthrajah, Sharon, Comberiatti, Pasquale, Eastman, Jacqueline J., Ellis, Anne K., Fleischer, David M., Fox, Adam, Frischmeyer-Guerrerio, Pamela A., Gagnon, Remi, Garvey, Lene H., Grayson, Mitchell H., Clarisse Isabwe, Ghislaine Annie, Hartog, Nicholas, Hendron, David, Horner, Caroline C., O'B Hourihane, Johnathan, Iglesia, Edward, Kan, Manstein, Kaplan, Blanca, Katelaris, Constance H., Kim, Harold, Kelso, John M., Kahn, David A., Lang, David, Ledford, Dennis, Levin, Michael, Lieberman, Jay A., Loh, Richard, Mack, Douglas P., Mazer, Bruce, Mody, Ketan, Mosnaim, Gissele, Munblit, Daniel, Mustafa, S. Shahzad, Nanda, Anil, Nathan, Richard, Oppenheimer, John, Otani, Iris M., Park, Miguel, Pawankar, Ruby, Perrett, Kirsten P., Peter, Jonny, Phillips, Elizabeth J., Picard, Matthieu, Pitlick, Mitchell, Ramsey, Allison, Rasmussen, Trine Holm, Rathkopf, Melinda M., Reddy, Hari, Robertson, Kara, Rodriguez del Rio, Pablo, Sample, Steven, Sheshradi, Ajay, Shiek, Javed, Sindher, Sayantani B., Spergel, Jonathan M., Stone, Cosby A., Stukus, David, Tang, Mimi LK., Tracy, James M., Turner, Paul J., Vander Leek, Timothy K., Wallace, Dana V., Wang, Julie, Wasserman, Susan, Weldon, David, Wolfson, Anna R., Worm, Margitta, Yacoub, Mona-Rita
    Publicado 2023
    “…A modified Delphi panel consisting of experts in allergy, anaphylaxis, vaccinology, infectious diseases, emergency medicine, and primary care from Australia, Canada, Europe, Japan, South Africa, the UK, and the US formed the recommendations. …”
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    Updated Guidance Regarding The Risk ofAllergic Reactions to COVID-19 Vaccines and Recommended Evaluation and Management: A GRADE Assessment, and International Consensus Approach
  15. 16315
    “…DESIGN, SETTING, AND PARTICIPANTS: This study used data from cross-sectional World Health Organization World Mental Health (WMH) surveys administered to households between February 5, 2001, and January 5, 2022, in 7 countries that experienced periods of civil violence after World War II (Argentina, Colombia, Lebanon, Nigeria, Northern Ireland, Peru, and South Africa). Data from respondents in other WMH surveys who immigrated from countries with civil violence in Africa and Latin America were also included. …”
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    Findings From the World Mental Health Surveys of Civil Violence Exposure and Its Association With Subsequent Onset and Persistence of Mental Disorders
  16. 16316
    “…Heart failure with reduced ejection fraction and/or reduced systolic function diagnosed in patients during the last month of pregnancy or up to five months following delivery defines PCCM.1 Another broader definition from the European Society of Cardiology defines PPCM as heart failure that occurs “towards the end of pregnancy or in the months following delivery, where no other cause of heart failure is found.”2 Though PPCM occurs worldwide, most data is extracted from the United States (incidence 1:900 to 1:4000 live births), Nigeria, Haiti, and South Africa.3,4 Risk factors for PPCM include pre-eclampsia, multiparity, and advanced maternal age. …”
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    Peripartum Cardiomyopathy
  17. 16317
    “…METHODS: Following the ADAPT-ITT framework, we adapted an evidence-based layperson HIV support program from South Africa for delivery by Ugandan TH. The ADAPT-ITT framework consists of (1) Assessment of needs; (2) Deciding which evidence-based interventions to adapt; (3) Adaptation of interventions; (4) Production of drafted adapted interventions; (5) Topical expert feedback; (6) Integration of expert feedback; (7) Training personnel; and (8) Testing the adapted intervention. …”
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    Adaption and pilot testing of a lay HIV supporter program for traditional healers: a mixed methods study in rural Uganda
  18. 16318
    “…RESULTS: The pooled prevalence of suboptimal birth spacing among women in SSA was 43.91% (43.71%-44.11%), with South Africa having the lowest prevalence (23.25%) and Chad having the highest (59.28%). …”
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    Suboptimal birth spacing practice and its predictors among reproductive-age women in Sub-Saharan African countries: a multilevel mixed-effects modeling with robust Poisson regression
  19. 16319
    “…METHODS: Using medical record data, we conducted a retrospective cohort study among youth aged 18–24 diagnosed with HIV from August 2015-December 2018 in nine health care facilities in South Africa. We used Fine and Gray sub-distribution proportional hazards models to characterize longitudinal care continuum outcomes in the population overall and stratified by treatment era of diagnosis. …”
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    Understanding the effects of universal test and treat on longitudinal HIV care outcomes among South African youth: a retrospective cohort study
  20. 16320
    “…METHODS: We used ten population-based cross-sectional data on 24,605 children and adolescents aged 6–18 years from Brazil, China, Greece, Iran, Italy, Korea, South Africa, Spain, the UK, and the USA for establishing optimal WHtR cut-offs. …”
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    Establishing international optimal cut-offs of waist-to-height ratio for predicting cardiometabolic risk in children and adolescents aged 6–18 years
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