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Musanabaganwa, C.

Publications and source records attributed to Musanabaganwa, C..

2 recordsLinked to original sources

Mutation Landscape of SARS COV2 in Africa

COVID-19 disease has had a relatively less severe impact in Africa. To understand the role of SARS CoV2 mutations on COVID-19 disease in Africa, we analysed 282 complete nucleotide sequences from African isolates deposited in the NCBI Virus Database. Sequences were aligned against the prototype Wuhan sequence (GenBank accession: NC_045512.2) in BWA v. 0.7.17. SAM and BAM files were created, sorted and indexed in SAMtools v. 1.10 and marked for duplicates using Picard v. 2.23.4. Variants were called with mpileup in BCFtools v. 1.11. Phylograms were created using Mr. Bayes v 3.2.6. A total of 2,349 single nucleotide polymorphism (SNP) profiles across 294 sites were identified. Clades associated with severe disease in the United States, France, Italy, and Brazil had low frequencies in Africa (L84S=2.5%, L3606F=1.4%, L3606F/V378I/=0.35, G251V=2%). Sub Saharan Africa (SSA) accounted for only 3% of P323L and 4% of Q57H mutations in Africa. Comparatively low infections in SSA were attributed to the low frequency of the D614G clade in earlier samples (25% vs 67% global). Higher disease burden occurred in countries with higher D614G frequencies (Egypt=98%, Morocco=90%, Tunisia=52%, South Africa) with D614G as the first confirmed case. V367F, D364Y, V483A and G476S mutations associated with efficient ACE2 receptor binding and severe disease were not observed in Africa. 95% of all RdRp mutations were deaminations leading to CpG depletion and possible attenuation of virulence. More genomic and experimental studies are needed to increase our understanding of the temporal evolution of the virus in Africa, clarify our findings, and reveal hot spots that may undermine successful therapeutic and vaccine interventions.

genomics↗

Tobacco use and associated factors among Rwandan youth aged 15-34 years: Findings from a nationwide survey, 2013

IntroductionTobacco use is the single most preventable cause of death in the world. The objective of this study was to determine the prevalence of current tobacco use and identify associated factors among Rwandans aged 15-34 years. MethodsThis cross-sectional analytical study analysed secondary data collected during the nationally representative Non-Communicable Disease Risk Factors Surveillance survey conducted in 2013 to explore the prevalence of tobacco use in Rwanda and identify factors associated with tobacco use. This study analysed data collected from 3,900 youth participants (15-34 years old), selected using multistage cluster sampling technique. The overall proportion of current smokers, as well as demographic and socioeconomic characteristics of the sample were determined and multivariable logistic regression employed to identify factors independently associated with current tobacco use. ResultsThe prevalence (weighted) of current tobacco use (all forms) was 8% (95%CI: 7.08-9.01). Prevalence statistically significant was found in the following group: higher prevalence was found among males, young adults aged 24-34, youth with primary school education or less, those from Southern province, people with income (work in public, private organizations and self-employed) and young married adults. There was no statistically significant difference in prevalence of tobacco use between participants from urban or rural areas (7.8% vs. 8.0%). Factors that were found to be associated with current tobacco use through the multivariate analysis included being a male, aged 25 years and above, having an income, and residing in Eastern, Kigali City and Southern Province compared to Western province. ConclusionThe association between smoking and sociodemographic characteristics among Rwandan youth identified in this study provides an opportunity for policy makers to tailor future policies, and implement coordinated, high-impact interventions to prevent initiation of tobacco use among the youth.

epidemiology↗