The current flare-up of respiratory sickness caused by a novel coronavirus (named "COVID-2019") has bolted down the world and has been recognized as a danger by US Centers for Disease Control (CDC) and pronounced pandemic by World Wellbeing Organization (WHO). The primary case was identified in Wuhan City, Hubei Area, China and since at that point, the infection has spread in disturbing rate [1]. It is one of the worldwide pandemics with colossal wellbeing, financial and psychosocial emergencies influencing the citizens of any countries. Coronaviruses are a huge family of encompassed RNA infections found in a many of creatures like camels, cattle, cats, and bats. In moderately uncommon occasions, vectors can transmit coronaviruses to people with proceeded circulation coming about ARTICLE INFO AbstractBackground: The COVID-19 has put global health institutions on alert. Organizations such as the CDC and WHO have developed preparedness and prevention checklist of 2019-nCoV infection to be used by public and healthcare professionals. Since COVID 19 pandemic is unexpected and no country aware of it prior to outbreak, there is limited information on the overall preparations of healthcare providers in Ethiopia. Therefore, the aim of this study was to assess early healthcare professionals' preparedness and response to COVID 19 Pandemic in Oromia regional state, Ethiopia. Methods:The study was conducted on healthcare professionals working in public hospitals of Oromia regional state. The study was carried out by online questionnaire prepared using SurveyMonkey©. The collected data was analyzed, and One-way ANOVA was used to determine the significant differences between health professionals working in different hospitals. The statistical significance associations of variables of interest was determined at 95% confidence intervals.Results: Healthcare professionals in the public hospitals of Oromia regional state, Ethiopia perceived that they are not yet well prepared and may not respond to the pandemic quickly and efficiently. Even though, they have positive response towards identifying signs and symptoms, provide education and utilization of PPE, they are still lacking in practical responses like managing cases, implementing emergency plans and isolation procedures from many others. Conclusion:As the Federal Ministry of Health, Ethiopia Public health institute and Oromia health bureau are vigilant and continually conducting preventive measures programs, extensive and maximum effort should be done to improve healthcare providers' preparedness and response towards any emergency related to COVID-19 pandemic.

The COVID-19 pandemic is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). It is one of the RNA coronaviruses which share the highest mutation rates of RNA viruses when compared with that of their hosts. The collective mutation rate of RNA viruses is up to a million times higher than their hosts and is correlated with enhanced virulence of viruses. The RNA, genomic material of SARS-CoV-2, has the capacity of showing amplified fast changes as the infection spreads. These changes were frequently observed in genes for spike glycoprotein, nucleocapsid, ORF1ab, and ORF8, together with RNA dependent RNA polymerase. In contrast, genes for envelope, membrane, ORF6, ORF7a and ORF7b showed no observable changes in terms of amino acid substitutions. Mutated SARS COV-2 at these particular sites has been associated with viral infectivity, false laboratory results and viral genome mutation and interferes with therapeutic targets. Interferences with therapeutic targets is frequently observed in genes for RdRp. Additionally, mutated viral genes for RdRp render slow fidelity of RdRp protein, resulting in a high mutation rate. Such a high mutation rate might allow new virulent forms of the virus to emerge and influence the disease profile. This review aimed to elaborate on the effect of genomic and amino acid sequence mutations on the virulence and therapeutic targets of SARS COV-2. To achieve this objective, multiple literatures have been reviewed.

Nanopore sequencing has brought the technology to the next generation in the science of sequencing. This is achieved through research advancing on: pore efficiency, creating mechanisms to control DNA translocation, enhancing signal-to-noise ratio, and expanding to long-read ranges. Heterogeneity regarding epigenetics would be broad as mutations in the epigenome are sensitive to cause new challenges in cancer research. Epigenetic enzymes which catalyze DNA methylation and histone modification are dysregulated in cancer cells and cause numerous heterogeneous clones to evolve. Detection of this heterogeneity in these clones plays an indispensable role in the treatment of various cancer types. With single-cell profiling, the nanopore sequencing technology could provide a simple sequence at long reads and is expected to be used soon at the bedside or doctor’s office. Here, we review the advancements of nanopore sequencing and its use in the detection of epigenetic heterogeneity in cancer.

Severe acute respiratory corona virus-2 (SARS-CoV-2) is a ribonucleic acid (RNA) virus with enveloped no-segmented positive sense belonging to a beta (β) -corona virus family. It has 29,903 nucleotides sized genome with 10 open reading frames (ORF). ORF1 (ab) encodes two polypeptides pp1a and pp1b cleaved into 16 functional proteins, which are mainly intended to form replication transcription complex (RTC). The cleavage process of pp1a and pp1b polypeptides to 16 functional proteins of SARs-CoV-2 is mainly facilitated by main protease and papain-like protease. The replication transcription complex (RTC) formed by the action of 16-functional proteins of SARs-CoV-2 is mainly involved as viral RNA synthesis machinery in the transcriptional and replication process of viral RNAs. ORF (2-10) encodes for structural (for example: spike (S), membrane (M), nucleocapsid (N), and envelop (E)) and accessory proteins of SARs-CoV-2. The main functions of structural proteins are viral assembly, viral coating, viral entry into host cells and assembly of the RNA genome. Accessory proteins are proteins that are not involved in the viral synthesis machinery, as 16 functional proteins, and in the viral assembly, coating, entry into host cells and packaging of Viral RNAs, as structural proteins. Rather, these are proteins that may play central role by enhancing viral assembly process, virulence and pathogenesis of SARs-CoV-2. Our aim in the current review was to elaborate the specific role of these structural and functional proteins on viral genomic replication and transcription, viral assembly, host cell attachment and pathogenesis. Multiple literatures have been reviewed to achieve the objective of this review.

Objective: The objective of this study was to determine the magnitude of electrolyte disorders and influencing factors among cancer patients in Southwest Ethiopia. Methods: Facility-based cross-sectional study was conducted in Jimma Medical Center (JMC). Eighty-four cancer patients admitted to JMC were recruited for this study. A structured questionnaire and serum electrolyte measurements were used for data collection. Bivariate and multiple logistic regression was employed to determine the association between electrolyte disorders and associated factors among admitted cancer patients. P value ⩽ 0.05 was used as a cut point to declare statistical significance. Result: The overall prevalence of electrolyte disorders was 60.7%. The presence or absence of comorbid diseases, age, body mass index (BMI), nutritional status, and current prescribed medication use were associated with electrolyte disorders. Younger patients had lower odds for electrolyte disorders (odds ratio (OR) = 0.128 (P value = 0.05) and OR = 0.08 (P value = 0.033)) for the first and the second quartile, respectively. Underweight patients had a threefold likelihood to develop electrolyte disorders (OR = 3.13 (P value = 0.043)) than having normal BMI. Compared with those in need of nutritional intervention, patients not in need of nutritional intervention had lower odds for the disorders (OR = 0.109 (P value = 0.006)). Medication had increased the likelihood of electrolyte disorders by 5.5 times than with no medication (P value = 0.023). Those who had comorbid disease had 10 times likely to develop electrolyte disorders than those who did not have comorbid diseases (P value = 0.004). Conclusion: Electrolyte disorders were prevalent in cancer patients. Age, BMI, nutritional condition, comorbid disease, and prescribed drugs were the predictors of electrolyte disorders in cancer patients. Authors recommend routine screening of electrolyte disorders in cancer patients and special emphasis on controlling and managing risk factors.