Background Today, coronavirus disease-19 has left a permanent dark mark on the history of human beings. The ongoing global pandemic outbreak of COVID-19 has spread to 58 African countries, with over 6.07 million confirmed cases and over 151,412 deaths. The five high burden African countries are South Africa, Morocco, Tunisia, Ethiopia, and Libya, with case fatality rates (CFR) of nearly 0.15%, 0.042%, 0.22%, 0.006%, and 0.086%, respectively. This is why the research aims to adequately understand the transmission dynamics of the virus and its variants in five high-burden African countries. Methods Our study is a deterministic model, where the population is partitioned into five components on the epidemiological state of the individuals. We presented a year-structured susceptible, infected, mild severs, critical severe, and recover (SIMCR) compartmental model of COVID-19 disease transmission with incidence rate during the pandemic period. Results The number of susceptible individuals increased by 30,711,930 in South Africa, 5,919,837 in Morocco, 3,485,020 in Tunisia, 7,833,642 in Ethiopia, and 2,145,404 in Libya in the next 3 decades with compare to the unvaccinated population and the number of infected individuals decreased by 30,479,271 in South Africa, 19,809,751 in Morocco, 3,456,406 in Tunisia, 7,761,993 in Ethiopia, and 2,125,038 in Libya. Conclusion SIMCR model is used to describe the transmission of COVID-19 among five high-burden African countries. For the next 30 years, we will have around 86 million infected individuals and millions of death only in those five African countries. To reduce those problems, vaccination is the best and most effective mechanism. So vaccinating half of the populations in those countries helps to control and reduce the transmission rate of COVID-19 in Africa for the next 30 years. This leads to preventing 17,212,405 people from becoming infected and millions of deaths being reduced in those five high-burden African countries.

The coronavirus pandemic is a global pandemic of Coronavirus Disease 2019 (COVID-19) resulting from the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2). Despite its numerous benefits for sharing health information, social media has raised several concerns in terms of posing panic among the general population around the world during the COVID-19 pandemic. The main objective of this study was to investigate the negative impact of social media during the COVID-19 outbreak. A web-based poll was used to collect data from social media users. Snowball sampling was used to acquire information from participants for 1 month, from September 1 to September 30, 2020. To examine the effect of social media on fear among participants, the study employed Cohen’s d statistic, analysis of variance, Chi-squared test, and linear regression analysis. The study results showed that more than three-fourth (73.26%) used Facebook followed by Telegram by 14.49%. Health news was the most frequently seen, read, or heard with 88.20% of the total. Moreover, 86.73% of respondents experienced panic, while only 13.27% was not. Compared to males, females were more likely to follow health news ( p < 0.001). The majority of participants reported being psychologically affected, while only a few were physically affected. Females were substantially more affected mentally and reported significantly more fear than males ( p < 0.001). The effect of social media panic is associated with participants’ age, and gender at a 5% level of significance. A significant positive link between social media and the diffusion of COVID-19 fear has been shown in this study. According to the result of regression analysis, social media usage has a significant effect on the spread of panic among participants at a 5% level of significance. Study revealed that social media use has a significant impact on the development of panic among people regarding the COVID-19 epidemic, with possibly detrimental psychological and mental health repercussions.This study also discovered a strong correlation between COVID-19 fear and social media. According to the findings, the impact of social media on respondents’ terror levels differs depending on their age and gender. The government should take steps to punish those who spread false information or fake news to the public.

Nowadays, Tuberculosis remains the major cause of HIV-associated mortality, which accounts for 1 out of every 5 HIV-related mortality worldwide. This study aimed to determine the survival rate and predictors of mortality among TB/HIV co-infected patients. An institution-based retrospective cohort study was undertaken on adult TB/HIV co-infected individuals between 1st February 2014 and 30th January 2022 at Mettu Karl Referral Hospital. A Cox regression model was used to identify predictors of survival time to death among TB/HIV co-infected patients. This study comprised 402 TB and HIV co-infected adult patients. Among these, 84 (20.9%) died, and 318 (79.1%) were censored. The study subjects have been followed up for 6920 person-months with an overall median survival time of 17.6 months. The overall incidence rate was 12.1 per 1000 person months [95% CI: 9.77–14.98]. The results of a multivariable Cox regression analysis showed that being at an older age, urban residence, WHO clinical stage II & IV, CD4 count of ≥ 200 cells/mm3, bedridden functional status, using INH, and using CPT were associated with the survival time of TB and HIV co-infected patients at a significance level of alpha = 0.05. This retrospective study found that high mortality of TB/HIV co-infected patients occurred in the earlier months of treatment initiation. Close monitoring of patients with low CD4, who do not utilize CPT, who are in advanced WHO stages, and who have poor functional levels can help them improve their health and live longer.

Onchocerciasis is a neglected tropical disease that is prevalent throughout Africa, including developing countries such as Ethiopia. It affects around 37 million people, the majority of whom are from Africa. As a result, the study was designed to look into the community’s knowledge, attitude, and practice about the onchocerciasis elimination campaign. Four communities from Gesha town, Southwest Ethiopia, were chosen. The population was selected using a basic random selection procedure, and 312 people were identified for the study based on the eligibility requirements, with 302 (96.79%) of them responding correctly. The data were analyzed using the descriptive method with the SPSS program version 20. It was discovered that the majority of communities (89.4%) are aware of onchocerciasis. They also have a good awareness of the severity, preventability, therapy, and mode of transmission, yet they have certain misunderstandings. The communities attitude towards community directed therapy (CDT) using Ivermectin is positive (68.5%). According to 56% of the community, offering incentives for community drug distributors (CDD) has the potential to make the elimination campaign more successful. Different measures, such as avoiding any activities near the river, are important in the process of eradicating this disease at the community level. As a result, the respondent demonstrates that covering the lower body part lessens the black fly’s vulnerability because they may attack below the knee. In general, community awareness and attitude are required to eradicate this disease from the district. In addition, increased stakeholder participation and offering motivating rewards for CDT are required to make the elimination program a success.

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.