Comparative Genetic Analysis of Kidney Function in Ugandans and West Africans in the UK Biobank Demonstrates Allelic Heterogeneity of CKD Risk in African Populations
Richard Mayanja, Segun Fatumo, Annette MacLeod, Harry Noyes et autres
Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.
Richard Mayanja, Segun Fatumo, Annette MacLeod, Harry Noyes et autres
Rolin Mitterran Ndefo Kamga, Nsani Clifford Ajim, Pythagore Fogue Soubgwi, Harry Noyes et autres
BACKGROUND: In Sub-Saharan Africa the precarious health situation resulting from malaria has been further complicated by the emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, data on the burden of the virus in Cameroon remains limited. Here, we estimated prevalence …
Cameroun, gb (code pays fourni par la source)
J. KANG, Y Kim, Kimberly Skead, David Soave et autres
Clonal hematopoiesis, through the age-associated accumulation of somatic mutations in blood, is strongly associated with hematological malignancies and other chronic diseases. These mutations have largely been characterized in individuals of European ancestry or environments, and consequently, it remains unclear how mutation-recurrence patterns …
ca, Afrique du Sud, us, Ouganda, gb (code pays fourni par la source)
Julius Mulindwa, Ibra Lujumba, Caroline Musiime, Joyce Namulondo et autres
BACKGROUND: Schistosomiasis disease that affects millions of people in sub-Saharan Africa, with a range of impacts on both host immune responses and the gut microbiome. The gut microbiota plays a fundamental role in the host's nutrition, metabolism, protection against pathogens, and modulation …
Ouganda, np, gb (code pays fourni par la source)
Julius Mulindwa, Ibra Lujumba, Caroline Musiime, Joyce Namulondo et autres
Ouganda, np, gb (code pays fourni par la source)
Edwige A. Sokouri, Bernardin Ahouty, Innocent A. Abé, Flora G.D. Yao et autres
Figure 6. Distribution of infection intensities per department of positive schoolchildren with baseline layers obtained from: https://www.divagis.org/. A: intensities distribution according to the POC-CCA test, B: Intensities distribution according to Kato-Katz test.
fr, Ouganda, cn, gb (code pays fourni par la source)
Edwige A. Sokouri, Bernardin Ahouty, Innocent A. Abé, Flora G.D. Yao et autres
Figure 4. Semi-quantitative POC-CCA and Kato-Katz intensity of infection results per school, departments and region. DOM = Domobly, FOU = Fouédougou, FRA = Francdougou, GOL = Golou, PON = Pona 2, SAH = Sahibly, YOY = Yoya, ZEA = Zéaglo.
fr, Ouganda, cn, gb (code pays fourni par la source)
Edwige A. Sokouri, Bernardin Ahouty, Innocent A. Abé, Flora G.D. Yao et autres
Figure 7. Box plot of infection intensities according to age.
fr, Ouganda, cn, gb (code pays fourni par la source)
Edwige A. Sokouri, Bernardin Ahouty, Innocent A. Abé, Flora G.D. Yao et autres
Figure 2. Distribution of prevalence per departments according with baseline layers obtained from: https://www.diva-gis.org/. A: Prevalence distribution according to the POC-CCA test, B: Prevalence distribution according to Kato-Katz test.
fr, Ouganda, cn, gb (code pays fourni par la source)
Edwige A. Sokouri, Bernardin Ahouty, Innocent A. Abé, Flora G.D. Yao et autres
Figure 5. Distribution of infection intensities per school of positive schoolchildren with baseline layers obtained from: https://www.diva-gis. org/. A: intensities distribution according to the POC-CCA test, B: Intensities distribution according to Kato Katz test.
fr, Ouganda, cn, gb (code pays fourni par la source)
Edwige A. Sokouri, Bernardin Ahouty, Innocent A. Abé, Flora G.D. Yao et autres
Figure 7. Box plot of infection intensities according to age.
fr, Ouganda, cn, gb (code pays fourni par la source)
Edwige A. Sokouri, Bernardin Ahouty, Innocent A. Abé, Flora G.D. Yao et autres
Figure 3. Distribution of prevalence per school according with baseline layers obtained with baseline layers obtained from: https://www.divagis.org/. A: Prevalence distribution according to the POC-CCA test, B: Prevalence distribution according to Kato-Katz test.
fr, Ouganda, cn, gb (code pays fourni par la source)
BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.
L'essentiel de l'actu tech du Burkina & d'Afrique, chaque semaine dans votre boîte mail.
Gratuit · sans spam · désinscription en un clic